understanding the sustainability of a planned change
TRANSCRIPT
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Understanding the Sustainability of a Planned Change: A Case Study Using an Organizational Learning Lens
by Mary Barnes
B.S. in Recreation Management, January 1999, Frostburg State University M.S. in Financial Management, May 2006, University of Maryland, University College
M.B.A., May 2007, University of Maryland, University College
A Dissertation submitted to
The Faculty of The Graduate School of Education and Human Development
of The George Washington University in partial fulfillment of the requirements
for the degree of Doctor of Education
August 31, 2018
Dissertation directed by
Michael J. Marquardt Professor of Human and Organizational Learning and International Affairs
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The Graduate School of Education and Human Development of the George Washington
University certified that Mary Alford Barnes has passed the Final Examination for the
degree of Doctor of Education as of July 27, 2018. This is the final and approved form of
the dissertation.
Understanding the Sustainability of a Planned Change: A Case Study Using an Organizational Learning Lens
Mary A. Barnes
Dissertation Research Committee:
Michael J. Marquardt, Professor of Human and Organizational Learning and International Affairs, Dissertation Director Robin R. Hurst, Assistant Professor of Teaching and Learning, Virginia Common Wealth University, Committee Member David A. Rude, Chief Learning Officer and Deputy Director for Human Resource Strategic Programs, U.S. Department of Defense, Committee Member
© Copyright 2018 by Mary A. Barnes All rights reserved
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Dedication
The author wishes to dedicate this research to my mom, who was my biggest cheerleader
in everything I did, and to my dad, who is my rock and inspiration.
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Acknowledgements
A doctoral degree is a team sport, and I am so grateful that I have had such a great
team, including my committee and chair, my friends and colleagues, and my family. The
amount of support I’ve received, both from those who saw me regularly as well as those
supporting me from afar, was the reason I was successful in this endeavor.
It is important that I start my thank yous with Dr. Marquardt. Not only did you
stick with me even after retirement, you have this superhuman ability to turn reviews
around in 24 hours or less, which helped keep my momentum going and prevented me
from getting stalled. You held me to my self-imposed deadlines, but also understood as
life got in the way and didn’t give me a hard time when my motivation and momentum
was overcome by events outside of my control.
To Drs. Hurst and Rude - While I trusted Mike to find committee members who
would be a good fit for me and my research, I am so grateful that you both agreed to
participate. I may not have known you from the start, but from the proposal defense
discussion to the review of the final product, the questions and input you have provided
helped to make me, and the final product, better. I’ve since been told how lucky I am to
have you on my committee by several folks, and I agree!
I was so pleased when Dr. Goldman agreed to participate as an external reader.
You are so giving of yourself to those around you that you are always busy, especially
with your recent promotion at the Medical School. I also know that when you agree to
participate, you are all in - so generous with your time and energy. I’ve thoroughly
enjoyed working with and learning from you in the past and know your questions and
comments made me a better scholar-practitioner.
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I put my trust in Mike once again in finding my other external reader. So, I want
to thank Dr. Pyzdrowski for agreeing to participate. I enjoyed and improved based on
your thoughts, questions, and insights. The slightly different perspective you came from
made for interesting questions to ponder and, again, made this final product that much
better. So, thanks for your time and willingness to invest in me, before even knowing
me.
I also want to thank my family, but most specifically my parents. My dad is and
has been an amazing support. His PhD is in Chemistry. At the beginning of my doctoral
career, I’d ask him for specific advice, but quickly realized that the social sciences are
completely different from the linear, clear roles of chemistry research. But, he was
always there for me to bounce ideas off of, talk through concepts, and to back me up
when I needed time away from family obligations to build, and rebuild, momentum.
This dissertation is the completion of a promise I made to my mom before she
passed. She was so supportive and proud of me as I was going through my coursework
and dissertation process. She made me promise that I wouldn’t let her illness and
ultimate passing impact my ability to complete this goal I’ve been working on for years.
While I did take a short break after her passing, my promise to her got me going again
and I know she is now beaming with pride - her whole body lit up when she was proud;
her smile was ear to ear, she sat up straighter, her eyes sparkled.
Finally, I want to thank all of my friends and colleagues who understood my
hectic schedule and supported me in numerous ways to contribute to my success - from
work life flexibility, advice, encouragement, compliments, and practical support. A
doctorate truly is a team sport, and I’ve got the best team in the game.
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Abstract of the Dissertation
Understanding the Sustainability of a Planned Change: A Case Study Using an Organizational Learning Lens
The concept of implementing organizational learning principles in an organization
to help individuals and groups “learn to learn” (Schein, 2017), thereby making the
ongoing adaptation and change that inevitably occurs in organizations more successful, is
an interesting problem to explore. While interesting, there are very few studies that
examine the sustainability of change in any context. Several theoretical models
incorporate the idea of sustaining, or institutionalizing, change. But, very few empirical
studies actually explore that concept.
The purpose of this qualitative, descriptive, embedded case study was to explore
how a government agency developed and sustained organizational learning, using the
Organizational Learning Systems Model (OLSM) as a lens. To fulfill the purpose of this
study, the following research question was addressed: How did a government agency
introduce and sustain organizational learning during and after a planned change?
The results from this study contributed to the literature and to the practitioner
community by showing that (1) the organization introduced and implemented
organizational learning by centrally managing the learning subsystems during the change
itself; (2) the organization introduced and sustained organizational learning by involving,
encouraging, and empowering employees and middle managers during the change; (3)
the organization introduced and implemented organizational learning by aligning all
messaging from senior leadership to front-line employees during the change; (4) the
organization implemented and sustained organizational learning by encouraging practice
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to learn the new behaviors and to iterate the change plan based on lessons learned; (5) the
organization sustained organizational learning by counting on middle managers to sustain
sensemaking and organizational learning post-change; and, (6) the organization was
challenged in sustaining organizational learning because the specific change to a
dispersed work environment has several unintended consequences that make it a tricky
change.
A conceptual model to augment the OLSM was proposed. Future studies could:
(1) test the conceptual model proposed; (2) explore the impacts of a dispersed work
environment using OLSM or social network analysis; and, (3) examine the relationship
between open office design and a dispersed work environment.
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Table of Contents
Dedication ........................................................................................................................... ii
Acknowledgements ............................................................................................................ iii
Abstract of the Dissertation ................................................................................................ v
List of Figures .................................................................................................................... ix
List of Tables ..................................................................................................................... xi
CHAPTER ONE: INTRODUCTION ............................................................................. 1
Overview ................................................................................................................. 1
Problem Statement .................................................................................................. 3
Purpose & Research Question ................................................................................ 7
Significance of Study .............................................................................................. 7
Theoretical Framework ......................................................................................... 11
Summary of Methodology .................................................................................... 17
Limitations and Delimitations............................................................................... 20
Definitions of Key Terms ..................................................................................... 23
CHAPTER TWO: LITERATURE REVIEW .............................................................. 24
Introduction ........................................................................................................... 24
Organizational Change .......................................................................................... 26
Sustaining Organizational Change ........................................................................ 35
Reflection and Change .......................................................................................... 44
Sensemaking and Change ..................................................................................... 46
Structuration and Change ...................................................................................... 47
Environment and Change ...................................................................................... 49
Organizational Learning ....................................................................................... 50
Organizational Learning and Change in the Public Sector ................................... 59
Summary of Literature .......................................................................................... 61
CHAPTER THREE: METHODOLOGY .................................................................... 64
Introduction ........................................................................................................... 64
Theoretical and Conceptual Framework ............................................................... 66
Researcher’s Worldview ....................................................................................... 67
Bounding the Case ................................................................................................ 69
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Data Collection Methods and Process .................................................................. 72
Data Analysis ........................................................................................................ 83
Trustworthiness ..................................................................................................... 86
Reflexivity Statement............................................................................................ 89
Human Participants and Ethical Considerations ................................................... 90
CHAPTER 4: RESULTS ............................................................................................... 91
Overview of Findings ...................................................................................................... 94
Findings - Time 0 (During the Change) ................................................................ 96
Findings - Time 1 (Immediately Following the Change) ................................... 110
Findings - Time 2 (Current-State - Five Years Post-Move) ............................... 124
Synthesis of Findings across All Three Time Periods ........................................ 145
CHAPTER 5: Conclusions, Interpretations, and Recommendations ...................... 148
Conclusions and Interpretations .......................................................................... 148
Implications for Theory ...................................................................................... 165
Recommendations for Practice ........................................................................... 167
Recommendations for Future Research .............................................................. 189
Concluding Remarks .................................................................................................... 193
References ...................................................................................................................... 196
Appendix A: Invitation to Participate In Study ......................................................... 235
Appendix B: Individual Interview Guide ................................................................... 237
Appendix C: Focus Group Interview Protocol .......................................................... 243
Appendix D: Direct Observation Guide ..................................................................... 250
Appendix E: Individual Interview Consent Form ..................................................... 251
Appendix F: Non-People Data Collection Details ...................................................... 253
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List of Figures
Figure 1.1. Theoretical Model: The Organizational Learning Systems Model 14
Figure 1.2. Conceptual Framework: Planned Change and Organizational Learning 16
Figure 2.1. The OLSM Subsystems and Corresponding Interchange Media 58
Figure 2.2. Theoretical Model: The Organizational Learning Systems Model 58
Figure 3.1. Conceptual Framework: How organizational learning is sustained over
time
67
Figure 3.2. Data Collection Plan for Three Phases 73
Figure 4.1 Conceptual Framework: How organizational learning is sustained over
time
92
Figure 4.2 Example of Goal-Based Messaging in Business Case - Narrative Form 98
Figure 4.3 Example of Goal-Based Messaging in Business Case - Graphic Form 98
Figure 4.4 Example of Persona-Based Messaging in Business Case 99
Figure 4.5 Example of Regulation-Based Messaging in Business Case 99
Figure 4.6 Words Most Frequently Found in Internal Communications during
Change
101
Figure 4.7 Five Findings from Post-Change Focus Groups 111
Figure 4.8 Recommendations Made by Office of Customer Experience 111
Figure 4.9 Employees’ description of successful parts of the change 113
Figure 4.10 Pay It Forward: Lessons Learned and Shared During Phased Moves 118
Figure 4.11 Key Findings - Tenant Survey One Year Post-Occupancy 121
Figure 4.12 Overall findings - Tenant Survey Two Years Post-Occupancy 122
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Figure 4.13 Annual Trends of EVS Questions - 2014 to 2017 127
Figure 4.14 Annual Trends of EVS Themes - 2014 to 2017 128
Figure 4.15 Change Agent Demographics 129
Figure 4.16 Demographic Information of Focus Group Participants 133
Figure 4.17 Focus Group Responses - Current State by Question 134
Figure 4.18 Focus Group Responses - Current State by Subsystem 135
Figure 4.19 Focus Group Responses - Change from the Past by Question 136
Figure 4.20 Focus Group Responses - Change from the Past by Subsystem 136
Figure 5.1 Implications for Practice - Change Leaders 169
Figure 5.2 Implications for Practice - Chief Learning Officers 174
Figure 5.3 Implications for Practice – Managers 178
Figure 5.4 Implications for Practice - Chief Information Officers 181
Figure 5.5 Implications for Practice - Facility Managers 184
Figure 5.6 Implications for Practice - Internal Researchers 186
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List of Tables
Table 1.1 Definitions of Key Terms 23
Table 2.1 Definitions of Planned Change in the Research 33
Table 2.2 Definitions and Characteristics of Sustaining Organizational Change 36
Table 2.3 Definitions and Key Components of Organizational Learning Theory 53
Table 3.1 Summary of Research Design 65
Table 3.2 Initial Categories from OLSM 85
Table 4.1 Six-Phases of Thematic Analysis 94
Table 4.2 Overview of findings for Time 0 109
Table 4.3 Building Information 119
Table 4.4 Overview of findings for Time 1 123
Table 4.5 Employee Engagement Survey - Percent of Positive Responses 125
Table 4.6 Summary of Change Agent Interviews 130
Table 4.7 Focus Group Open Responses by Subsystem 138
Table 4.8 Focus Group Open Responses by High-Level Discussion Questions 140
Table 4.9 Summary of Direct Observations 142
Table 4.10 Overview of Findings for Time 2 144
Table 4.11 Overview of Findings by Time and Dyad 146
Table 5.1 Seven Conclusions that Address the Research Question 149
Table 5.2 Conceptual Model to Augment OLSM 167
Table 5.3 Recommendations for Future Research 189
1
CHAPTER ONE: INTRODUCTION
Overview
A recent search on Amazon.com for books related to change management brought
up over 30,000 results, all presenting a different take on change management based on
the authors’ experiences and beliefs. Everyone has his or her own “no-fail” change
management strategy. Change is becoming a normal part of organizational life, almost
mandatory for organizations to adapt to the rapidly changing environment and stay
relevant. All types of change are happening at a rapid pace and organizations must keep
up. Knudstorp, Maskus, Teece, & Christensen (2017) make the argument that, while
globalization at its most basic sense - international trade - has been around since the
Roman Empire, the digitalization of recent times has been transformative. The world has
basically moved from many alphabets to the alphabet of binary language. This move
means that collaboration and communication is easier and the transaction cost has been
significantly reduced. These advances have been the “death of distance” (Knudstorp et
al., 2017), resulting in significant and rapidly-changing environments that organizations
must respond to.
Yet, even with the need to change for sustained competitive advantage and
survival, the vast majority of change management efforts undertaken by organizations are
destined to have little impact. Success rates in some industries are as low as ten percent,
and the average failure rate of 70% has remained relatively static over the past 50 years
(Beer & Nohira, 2000; Burke, 2011; Burnes, 2009; Cope, 2003; Greiner, 1967; Grieves,
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2000; Hammer & Champy, 1993; Hughes, 2011; Keller & Aiken, 2009; Kotter, 2008;
Maurer, 2010; Rogers, Meehan, & Tanner, 2006; Senturia, Flees, & Maceda, 2008).
In the literature, several scholars have posited why the rate of failure has been so
consistent and pervasive. First, change is complex, and there is no consensus on the
definition of change, how to manage it, or even if it can be managed (Mohrman &
Lawler, 2012; Pettigrew, Woodman, & Cameron, 2001). Second, because change is so
complex, the majority of research has focused on singular aspects of change in order to
make the study simple enough to measure (Pettigrew et al., 2001), thereby adding to that
lack of consensus. And finally, because of the segmented research, among other reasons,
there is a large gap between the science of organizational change and the practice of
changing organizations (Rynes & Bartunek, 2017; Chalofsky, 2004; Graham &
Kormanik, 2004; Keefer & Yap, 2007; Mohrman & Lawler, 2012; Pettigrew et al., 2001;
Suss, 2015). Several scholars address this practice-theory gap in literature argue that in
practitioner-dominated fields like organizational change and other management
disciplines, the gap is more significant since utilizing scholarly knowledge will improve
organizational practice and performance and knowledge of practice in the organizational
context will further theory (Rynes & Bartunek, 2017; Chalofsky, 2004; Rynes, Bartunek,
& Daft, 2001; Woodman, 1993). This disconnect between theory and practice means that
popular but antiquated change strategies are being used in practice without much success
(Mohrman & Lawler, 2012).
As scholars struggle to tackle the theoretical, practitioners are out in organizations
adapting to their environment and trying to make it work. They have no choice. As the
world around an organization changes, the organization must change and adapt to be
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successful (Schwandt & Marquardt, 2000). An organization must “learn to learn”
(Schein, 1991, p. 36). To maintain a competitive advantage, organizations will not only
need to learn from their successes and failures, but they will need to do it better and faster
than their competition. They will need to transform themselves to become “places where
groups and individuals continuously engage in new learning processes” (Schwandt &
Marquardt, 2000, p. 3).
Problem Statement
The concept of implementing organizational learning principles in an organization
to help individuals and groups “learn to learn” (Schein, 2017), thereby making the
ongoing adaptation and change that inevitably occurs in organizations that are more
successful, is an interesting problem to explore. While interesting, there are very few
studies that examine the sustainability of change in any context. Several theoretical
models incorporate the idea of sustaining, or institutionalizing, change (Abel &
Sementelli, 2005; Aitken, 2012; Albert & Picq, 2004; Ament, et al., 2012; Bain, Walker,
& Chan, 2011; Chidiac, 2013; Clark, 2003; Coburn, 2003; Cooper, 2001; Duffy, 2003;
Juciute, 2009; Julian & Kombarakaran, 2006; Karp, 2006; Lopez-Yanez & Sanchez-
Moreno, 2013; Saunders, 2003; Seidman & McCauley, 2009; Steenekamp, Botha, &
Moloi, 2012). But, very few empirical studies actually explore that concept.
The literature suggests two main reasons. First, systems-view, longitudinal
studies are needed to truly study change and do not happen regularly for practical
reasons. Some say that change only occurs when individuals in the open system (Katz &
Kahn, 1978) learn and change their beliefs and actions in response to new interactions
(Powell, Koput, & Smith-Doerr, 1996; Tsoukas & Chia, 2002). This type of change and
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growth takes time. In fact, Barley & Tolbert (1997) say that all change is longitudinal.
Therefore, successfully addressing this gap requires a longitudinal, or historical, study.
However, longitudinal studies are typically more expensive to conduct and require more
of a time investment (Van de Ven & Huber, 1990).
Second, practitioners do not utilize the most recent and relevant research when
implementing change, and learning and academics do not leverage the contextual
knowledge of practitioners when researching change and learning, thus creating a
significant gap between theory and implementing change in practice (Mohrman &
Lawler, 2012; Pettigrew et al., 2001; Woodman, 1993). Research and practice need one
another; research needs to understand the various mechanics and components of change
in the messy, complex, real world, and change leaders in organizations need guidance,
based in theory, to help guide their decisions with the understanding of various theories
in play.
Based on the scholarly literature, this study makes a few assumptions. First,
organizational change is complex and difficult; organizations have difficulty making
large scale changes, including the development and sustainability of organizational
learning. The failure rate of change has held steady at about 70% for decades and, in
some instances, as high as 90% (Beer & Nohira, 2000; Burke, 2011; Burnes, 2004;
Carleton & Lineberry, 2004; Kotter, 1995; McKinsey, 2010; Probst & Raisch, 2005;
Trautlein, 2013). And, that failure rate is typically measured after the completion of the
change initiative - did the change initiative accomplish the stated objectives of the
initiative? These studies do not take into account organizations which achieved the stated
goals initially, but were unable to sustain the change or desired outcomes over time
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(Amburgey, Kelly, & Barnett, 1993; Beer and Nohira, 2000; Burke, 2011; Burnes, 2004;
Carleton and Lineberry, 2004; McKinsey, 2011; Probst & Raisch, 2005; Trautlein, 2013).
Second, the context of the change is significant when comparing research and
utilizing that research for practice. Pettigrew et al. (2001) recommends that researchers
examine context, content, process, and outcomes when studying change. Most existing
change and sustainability research is conducted with for-profit organizations that have a
profit motive for succeeding in their change initiatives. This creates a gap for change and
sustainability in other contexts.
Based on these assumptions, it is clear that change is hard and often fails.
Further, the research that does exist on organizational learning and change does not
necessarily translate to government organizations because context is so important and
research does not exist for public sector agencies looking to implement organizational
learning or change. Because of this gap in the research, there is no current information
on how to enable a government agency to develop, incorporate, or sustain organizational
learning within their organization. This study focused on the U.S. Government context in
order to address this gap.
The way of doing business in the government is changing rapidly (Gleick, 2000).
Globalization, privatization of previous governmental functions, removing mandatory
sourcing constraints leading to increased competition within the government space,
information technology modernization, increased cybersecurity concerns, ever-evolving
governmental policies, increased polarization of the political parties, budget cuts, hiring
freezes, and potential government shutdowns all impact the pace of change, and require
government organizations to change, which increases their capacity to change and their
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ability to learn (Bin Taher, Krotov, & Silva, 2015; Bruns, 2014; Cannaerts, Segers, &
Henderickx, 2016; Fry & Griswold, 2003; Kim & Yoon, 2015; Martin-Rios, 2016;
Onesti, Angiola, & Bianchi, 2016; Pokharel & Choi, 2015; Rainey, 1999; Tajeddini,
2016). Because of these differences, specifically the lack of competitive pressure,
government organizations have even more difficulty with transformative change, such as
implementing organizational learning.
Even with the increasing need for the government to embrace organizational
learning to enable and cope with the increasing pace and need to change, there is a lack of
research focusing on change and learning within the government context. Kuipers et al.
(2014) completed a literature review study of research focusing on change in the public
sector, and found that the literature provided few details on processes or outcomes of
change, and none looked at organizational learning as part of the change. Even though
most of the research in the public sector are case studies, there is no existing literature or
research explicitly focused on developing or sustaining organizational learning in a
government agency.
The current pace of change in the government means that the ability to implement
and sustain organizational change and learning is important. And yet, change fails, and
there is little empirical evidence from any context with which to inform practice. The
literature advises that utilizing a systems view and a longitudinal, or historical, study is
the best way to address the current research gaps and that context matters. In order to
address this gap, the site for this study will be a U.S. Government agency that
implemented a planned change five years ago that has successfully sustained the intended
behaviors and benefits of the change over the past five years. The change being study was
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a move to an open workspace, with hoteling, or hotdesking, as well as increasing
telework and virtual work for a more dispersed workforce. Both of these changes
required a significant amount of learning and behavior change from the workforce. This
historical case study used the Organizational Learning Systems Model (OLSM)
(Schwandt & Marquardt, 2000) as a systems-based framework to examine how this
organizational learning, initiated by a planned change, was sustained in a U.S.
Government organization over time.
Purpose & Research Question
The purpose of this qualitative, descriptive, embedded case study was to explore
how a government agency developed and sustained organizational learning, using the
OLSM as a lens. To fulfill the purpose of this study, the following research question was
addressed: How did a government agency introduce and sustain organizational learning
during, and after, a planned change?
Significance of Study
The results from this study benefit the scholarly and practitioner community in
five ways. First, the research provides an in-depth look at a process of developing and
sustaining organizational learning in a government agency. Using the OLSM as a
framework, the various organizational learning components within the system were
explored to determine how, and to what extent, the learning components were sustained
over time. By taking a rare look at an organizational change from inception through two
years or more post-change, this comprehensive, historical look at the development and
sustainability of organizational learning in a government agency provides insights useful
to help close the research-practice gap.
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Second, this study benefits research and practice by extending the scholarly
research on organizational learning and change by embracing a systems view and the
“yes/and” perspective of paradox (Akhtar & Khan, 2011; Andriopoulos & Lewis, 2009;
Bloodgood & Bongsug, 2010; Garcias, Dalmasso, & Sardas, 2015; Karrer & Fleck, 2015;
Laiken, 2003; Lewis, 2000; Luscher & Lewis, 2008; Smith & Lewis, 2011; Tosey, 2005),
looking at the sustainability of organizational learning over time through a historical case
study, and working within a government agency to examine organizational learning in
practice. For example, there is an underlying assumption in the research that a planned
change is also a linear, episodic change process in the vein of the assumptions around
Lewin’s (1951) three-step model of unfreezing, moving, and refreezing; that there is no
room in a planned change intervention for unanticipated consequences or complexity
(Pettigrew et al., 2001). However, Kilduff & Dougherty (2000) recommend questioning
assumptions. Just because planned change over the years has been seen as a more rigid,
positivist view of change does not mean it has to stay that way. In fact, even Lewin’s
model of change was much more in depth than it is typically considered today,
incorporating field theory, group dynamics, and action research with the three-step model
of change (Burnes, 2004; Schein, 1999). In order to ensure that this study provided the
intended value, the researcher followed the recommendations from various scholars
(Mohrman & Lawler, 2012; Pettigrew et al., 2001). Scholars recommend that researchers
look at change with an integrated systems view, encourage pluralism, and accept paradox
(Pettigrew et al., 2001). By utilizing the OLSM and looking at the organizational
learning change and sustainability from a systems perspective, the study, by definition,
needed to examine and accept the paradox and pluralism found in the organization.
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Third, scholars express the need to conduct more longitudinal studies to really
understand change within the context of the organization and time (Barley & Tolbert,
1997; Pettigrew et al., 2001). There is a lack of research looking at the sustainability of
organizational learning over time, especially from the public sector context. While the
reasons for this gap may be a practical one of access, funding, and long term partnerships,
the need still exists (Pettigrew et al., 2001). While change agents and organizational
leaders may be interested in ensuring that their time and energy in creating organizational
learning is well spent and that organizational learning is embedded into the organization
long term, research rarely focuses on the sustainability, choosing instead to focus on the
change itself (Buchanan et al., 2005). The research addressed this need by looking at an
organization from three different points in time – during the initiation of the change,
immediately after the change, and present day, which was about five years after the
change. This historical look at the organization addresses the gaps in the current literature
and hopefully provides insights not previously encountered in research.
Fourth, this study addresses a gap in the research focusing on government
agencies and change. Government agencies have unique strengths and challenges when
it comes to organizational learning and change, meaning that the research focusing on
other types of organizations are not always relevant or transferable to a government
agency. Rainey (1999) broadly defines differences between private and public
organizations by their environmental characteristics (such as the lack of competitive
pressures or the amount of political influence), transactions between organization and
environment (such as the nature of the customer also being the tax payer), and the
structures and processes of organizations (such as the clarity of mission and the amount
10
of bureaucracy). These differences mean that research conducted within a different
context may not apply to the government context (Denscombe, 2014). By looking at a
government agency that seemed to have successfully sustained both a planned change
and certain elements of organizational learning, other agencies have a case study and
model to follow as they undertake their next, inevitable transformation change within
their agency. This study was designed to address gaps between theory and practice, as
well as gaps in the literature, based on the identified areas of this study’s significance. By
addressing the gaps identified above in this study, the findings are more relevant and
actionable for other government agencies looking to undergo the same transformation.
Finally, this case study helps operationalize the recommendation that, in order to
achieve relevance, researchers need to work with, and learn from, practitioners and
colleagues from other disciplines (Mohrman & Lawler, 2012); to help “organizations
navigate the turbulent waters [researchers] must commit to working collaboratively with
organizations [and] spend time becoming familiar with the world of organizational
practice” (Mohrman & Lawler, 2012, p 50). In this study, the researcher was also an
organization member and change agent. While this scholar-practitioner status could have
produced some additional bias, the value of studying organizational learning and change
from within an organization meant that the researcher was familiar with the
organizational practice, which informed both the design and research. This study, and the
resulting implications for practice, provides a model to other scholar-practitioners for
operationalizing research to add to theory and simultaneously close the gap between
research and practice.
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Theoretical Framework
For over twenty years, individual learning in organizations has been discussed as
a critical element of an organization’s ability to change and survive (Crossan, Lane, &
White, 1999; Nonaka, 1991; Senge, 2006; Marsick & Watkins, 1999). This linkage
between individual learning and change is well established. More recently, learning at
other levels - group, team, organization - has experienced more of a focus (Akgun, Lynn,
& Byrne, 2003; Boeteng, 2011; Casey, 2005; Friedman, Lipshitz, & Popper, 2005;
Kontoghiorghes, Awbrey, & Feurig, 2005; Lines, 2005; Novis, DeBella, & Gould, 1995;
Schein, 1999; Schwandt, 1997; Schwandt & Marquardt, 2000; Senge, 2006). It has now
become widely accepted that learning at all levels is a key success factor that allows
organizations to adapt to changing environments and markets (Argote & Miron-Spektor,
2011; Hilden & Tikkamäki, 2013; Lyytinen, Rose, & Yoo, 2010; van Grinsven & Visser,
2011).
While this linkage is clear in the literature for organizational change and
organizational learning, the literature is not yet as clear on the relationship between
organizational learning and organizational change over time. Most reviews of the
organizational learning literature did not deal explicitly with the topic of time (Fiol &
Lyles 1985; Levitt & March, 1988; Huber, 1991; Dodgson, 1993; Easterby-Smith, 1997;
Easterby-Smith et al., 1999; Örtenblad, 2002; Karataş-Özkan & Murphy, 2010; Argote &
Miron-Spektor, 2011). As a result, the empirical and theoretical papers that deal with the
role of time in relation to organizational learning is still incomplete. For this reason, this
study used two theoretical concepts to frame the study. The first was planned change;
specifically, the sustainability of planned change over time. Buchanan et al. (2005)
12
defined sustainability of a planned change as “the maintenance of new working practices,
structures, systems, cultures, and performance improvements for an appropriate period”
(p. 190).
The second concept was organizational learning. Schwandt (1993) defines
organizational learning as “a system of actions, actors, symbols, and processes that
enables an organization to transform information into valued knowledge which, in turn,
increases its long-run capacity” (p. 8). Both definitions include similar elements such
as systems, processes, and a concept of time.
In order to examine the linkage and relationship between these two concepts, a
model is necessary. Therefore, these two concepts were examined through the lens of an
organizational learning model. Burke and Noumair (2015) define several criteria when
looking for a model to guide research. First, the researcher should choose a model that
they fully understand and that is comfortable to work with. Second, the chosen model
should fit the organization being researched as closely as possible. And finally, the
model should be comprehensive enough to facilitate the collection of data to address the
research question.
The model that guided this study was Schwandt and Marquardt’s (2000) OLSM.
It met all three of the guidelines mentioned above. First, the model is extraordinarily
comprehensive as it relates to the ability to facilitate the collection of data. However, it
has successfully simplified the complex systems-view of the organization so that the
model can be easily understood at a high level. Second, the model not only aligned to the
themes that emerged through this organizational learning literature, but also so closely
matched the change management activities of the organization that it appeared there was
13
a purposeful alignment. Finally, because of the systems mentality, the model is suitable
for relating to a real-life organization during a case-study research looking at the
organization from that systems perspective.
The OLSM model is founded in Parsons’ General Theory of Social Action with
the premise that both performance and learning have the capacity to change an
organization (Schwandt & Marquardt, 2000). Parsons was known for operating under the
paradigm of what he called “structural functionalism” (Parsons & Shils, 1951). While
the structural-functional paradigm received extensive critiques over the years (Turner &
Holton, 2014), Parsons (1951) was clear that the important characteristic of the structural-
functional paradigm is its use of the system being studied without a complete knowledge
of all of the laws that govern the processes within the system. This paradigm allowed
Parsons to mobilize what was known in order to explain the process in the system and
identify problems for additional research to further the knowledge of the system (Parsons,
1951). This concept of explaining and solving problems and understanding that the larger
system may not be fully understood, aligns well with the concept of pragmatism, which is
the theoretical foundation of this study (Creswell, 2012). According the Creswell (2012),
pragmatism, as a worldview, is based more in actions and consequences instead of
antecedent conditions; there is a concern for what works to define processes and solve
problems.
Since it is based on Parsons Theory, the OLSM shares the same paradigmatic
underpinnings. The OLSM involves four key components: environmental interface,
action/reflection, memory/meaning, and dissemination/diffusion. According to this
model, the learning at the organizational level occurs within those four components. The
14
premise for the researcher is that the actual learning is not observable; not every law in
the system is knowable. However, by observing the interaction of these four
components, the researcher can draw conclusions about how the organization learns. As
illustrated in Figure 1.1., Schwandt and Marquardt (2000) posit the observable
interactions between the four components, which are discussed in more detail below.
Figure 1.1. Theoretical Model: The Organizational Learning System Model
© 2000 David Schwandt and Michael J. Marquardt.
The OLSM defines organizational learning through four interdependent learning
subsystems: environmental interface, action/ reflection, dissemination and diffusion, and
memory and meaning. The actions manifested in the environmental interface subsystem
are actions that scan the external environment and bring in select inputs to the
organization. The action/ reflection subsystem includes actions such as decision-making
and problem solving processes with the aim of producing knowledge that will benefit and
sustain the organization. The dissemination and diffusion subsystem includes actions
designed to enhance the movement of information and knowledge throughout the
15
organization’s system. This includes actions such as leadership processes,
communications, and structural changes. Actions aligned to the memory and meaning
subsystem include things such as making of policy and procedures, organizational
culture, and knowledge management processes.
As mentioned, one cannot observe the actual learning. So, in order to convert the
model from theoretical to concrete, Schwandt and Marquardt (2000) identified outputs
for each learning subsystem that can be observed. These outputs, referred to as
“interchange medium outputs”, give the researcher the opportunity to use the framework
as an analytic framework.
For instance, the output for the environmental interface subsystem is new
information. With the role of the environmental interface subsystem being to scan the
environment for select inputs, it makes sense that those inputs from the environment are
“new information”, at least from the organization’s perspective. Goal reference
knowledge is the product resulting from the organization’s action to adapt through
learning in order to sustain the organization, which occurs in the action/ reflection
subsystem.
Structuring mechanisms are what allow for information and knowledge to move
within the learning systems and the organization itself. So, the dynamic concept of
structuring is the output of the dissemination and diffusion subsystem. Pattern
maintenance is the main function of the memory and meaning subsystem. Sensemaking,
the final medium output, is important to the sustainability of the organization. Without
sensemaking, the outputs from the other subsystems are not integrated into the
organization and its learning system.
16
This research explored the sustainability of organizational learning in a planned
change context. The OLSM framework makes sense as the theoretical framework for
several reasons. Most notably, the definition of sustainability of change for the purposes
of this research involves the maintenance of new working practices, structures, systems,
cultures, and performance improvements. Sustainability is seen a process to be managed,
not a condition to be achieved. Based on the overview of the subsystems and media
outputs defined above, working practices, structures, systems, cultures, and performance
are all accounted for within the OLSM model. Below (Figure 1.2), the conceptual
framework shows how the OLSM model was used to analyze the planned change and the
associated sustainability activities and within a comprehensive framework that already
incorporates elements of learning, change, and sustainability.
Figure 1.2. Conceptual Framework: Planned Change and Organizational
Learning
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Summary of Methodology
Merriam (2009) defines case study as an “in-depth description and analysis of a
bounded system” (p. 40). McCaslin & Scott (2003) describe case study also as in-depth,
but define it with an emphasis on the broader context or bigger system in which the
phenomenon being studied sits. Yin (2014) states that case studies are for those who are
looking for the answers to the “how” and “why” questions. This study sought to provide
an in-depth description on the how and why of organizational learning, sustained over
time, initiated by a planned change, and within the overarching organizational system.
Using Yin (2014) as a framework, this research study took a historical view of
organizational learning, capturing multiple perspectives, experiences, and the
complexities of the change through a variety of data collection and analysis methods,
focusing on both historical and current data. Creswell (2014) states that the pragmatic
researcher tends to focus on problems of practice and use “all approaches available to
understand the problem” (p. 10). Given this researcher’s pragmatic worldview and the
goals of this study to address the research-practice gaps, among others, case study
seemed to be the appropriate research method. The following summary outlines the
research methodology, which is detailed further in Chapter Three.
Site selection
Taking a systems view when examining an organization does not limit the type of
organization that can be used as a site. To address the problem statement of
sustainability, the researcher wanted to study an organization that had successfully
managed a change and, at least on the surface, sustained that change over time. Since
18
this look at an organization over time requires a historical focus, access to historical data
and artifacts as well as the current employee population was important.
The chosen site was a U.S. Government organization. About 4,000 people were
directly impacted by the change and approximately 8,000 people were indirectly
impacted. The change studied met the definition of planned change in that the direction
for change came directly from the top leader in the organization in response to
environmental changes. The decision to change was made about one year prior to the
actual date of change, to allow for change management and preparation. This study
observed the organization approximately five years after the conclusion of the change
initiatives.
For the purposes of this research, a convenience sample of one U.S. Government
organization that has undergone a planned change within the last two years was studied.
The study site was also the researcher’s place of employment so it was easier to develop
the trust with participants and gain the full access needed to accomplish the study.
Data collection
Data collection methods for this study include historical document analysis,
interviews, and focus groups. The organization has qualitative and quantitative data from
before, during, and after the change that the researcher was able to review and analyze.
Individual, one-on-one interviews with the key personnel responsible for the change and
managing the new environment after the change were conducted. Focus groups with
employees and supervisors who experienced the change were conducted. An individual
interview and focus group interview guide containing structured questions around each of
the four interaction elements from the OLSM model was designed so that interviews
19
were guided conversations to elicit participants’ descriptions of their perceptions on how,
and to what degree, the planned organizational change has become an embedded part of
the new organizational reality. The structure was essential for a consistent experience for
each interview and focus group. Additionally, open-ended and probing questions were
developed for the researcher to facilitate conversation and draw out descriptive detail
during the interviews.
Data collection also entails direct observation that allows the researcher to
observe behaviors and examine policies and processes that are in place post-change. The
researcher was able to compare the present-day observations with the document analysis
section to help identify more of the change that occurred that may not have been fleshed
out in the interviews or focus groups. An observation guide was created to ensure the
researcher captured observations that aided in analysis, using the OLSM model as the
lens. As qualitative investigation involves a prolonged period of time immersed in
fieldwork (Merriam, 2009), the researcher conducted multiple observations over a six-
week time frame.
Data analysis
Data analysis was an ongoing and iterative process. Throughout the process of
producing descriptive statistics from the historical quantitative data, and transcribing
audio recordings, recording observational notes, and analyzing documents, notes were
recorded to highlight insights and ideas gleaned from the data. Field notes, personal
memos, correspondence with participants, and transcribed interview recordings were
organized and saved on a password protected, cloud-based filing system on the
researcher’s Google Drive offered through the George Washington University. Line by
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line transcribed data was segmented and coded into appropriate themes. A master list of
codes was kept with the first transcript and was subsequently revised and reapplied to
future segments of data. Inductive codes were developed as the researcher examined the
data. Enumeration was done by counting frequent words and phrases across all data
points and was selectively illustrated visually in a word cloud, presented in Chapter Four
(Miles & Huberman, 1994). Diagrams and matrices depicting the relationships in the
data are also presented.
Limitations and Delimitations
This study was limited beyond the researcher’s control in a number of ways. First,
the study was looking back at a change that occurred over five years ago and therefore
has a retrospective view. The researcher had no control over the movement of employees
in or out of the organization during the period of interest. There could have been
individuals who left the organization after going through the change and there could have
been employees who joined the organization after the change had already occurred.
However, since this research was examining the learning at the organizational level, this
limitation did not necessarily impact the findings. Second, the researcher had no control
over the policies and/or priorities the leadership defined for the organization. The impact
of these policies and priorities was a topic for examination in the research, but there was
no control over whether the policies and procedures supported or worked against the
change effort being studied. However, this is true of many organizations - not all
leadership is always working toward the same strategic goals. The benefit of the case
study methodology was that the researcher was able to explore the topic in depth in a
real-life setting. While it increased the level of complexity observed, the observations
21
were much more in line with organizational realities. Third, the researcher had no control
over the participation rates in both the interviews and focus groups. There was past
information about participation rates at this organization, so steps were taken to invite
enough employees to provide for meaningful information from those who did participate.
Fortunately, a large part of this case study included gathering historical data and
observing the current organization, both of which were not limited by participation, only
by the availability of information and the researcher’s own observation skills. Fourth,
there was no guarantee that participants would be able to effectively convey their
thoughts and perceptions. The pragmatic approach taken in this research to use all
possible approaches to examine the problem helped to mitigate this potential limitation.
Additionally, the benefit of addressing the dearth of longitudinal research in the
organizational change literature was a tradeoff for the potential limitation of participant
recall. Fifth, participants may have spoken to one another during the six-week time
frame about the questions asked in the interviews and focus groups. This may or may not
have had an impact on the answers received from participants. The risk of cross-
contamination was mitigated by completing all of the focus groups in a very short time
frame to reduce the ability for the interview or focus group questions to casually come up
in conversation. While that short time frame introduced the risk of a lower participation
rate, the researcher was confident that saturation would be reached, which was eventually
confirmed through data analysis. Finally, the historical data gathered by the organization
before, during, and after the change is set. This researcher had no control over the
questions asked, the method of data collection, or the way the data was cleansed. There
22
might have been some issues of self-reporting and social desirability embedded into the
historical data.
Delimitations are driven by the researcher’s study criteria. For the purposes of this
research study the delimitations focus mostly on the site selection. The site selected for
this study was a U.S. Government, mid-sized, civilian agency. Organizational change
may be managed and sustained differently in a non-profit, public, or private company, or
even in a defense-centric government agency. Additionally, this researcher was also an
employee of the organization and was impacted by the change being studied. While this
helped create a level of access into the organization not necessarily available to an
outside researcher, it also created delimitation where bias needed to be carefully
managed.
23
Definitions of Key Terms
Table 1.1.
Definitions of Key Terms
Key Term Definition Author(s) (Year)
Planned Change
A change that is triggered by a relevant environmental shift that, once sensed by the organization, leads to an intentionally generated response. This intentional response is "planned organizational change" and consists of four identifiable, interrelated components: (a) a change intervention that alters (b) key organizational target variables that then impact (c) individual organizational members and their on-the-job behaviors resulting in changes in (d) organizational outcomes.
Porras & Silvers (1991)
Organizational Learning
A system of actions, actors, symbols, and processes that enables an organization to transform information into valued knowledge which in turn increases its long-run capacity.
Schwandt (1993)
Sustaining Change
Sustainability involves, broadly, the maintenance of new working practices, structures, systems, cultures, and performance improvements, for an appropriate period. Sustainability is a process to be managed, not a condition to be achieved and depends on the organizational context.
Buchanan et al. (2005)
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CHAPTER TWO: LITERATURE REVIEW
Introduction
The literature review first addresses the historical development of organizational
change, looking specifically at planned change. The second section examines the
existing research in sustaining organizational change; the lenses and methodologies used,
and the main findings. Before diving into the organizational learning literature, in
general, or the OLSM model specifically, the third section explores how each of the four
learning concepts found within the OLSM relate to change in the literature. The fourth
section reviews the organizational learning literature and the distinctions between the
organizational learning theory and the literature around becoming a learning
organization. The fifth section explores the OLSM used as the theoretical framework for
this study. The foundations for this model are explored, the four components are defined,
and findings from prior quantitative and qualitative research using the OLSM model are
summarized. The final section considers the context of this particular study, the public
sector. The relevant literature regarding organizational learning and change in the public
sector is reviewed, in addition to other issues to contemplate when researching within the
government context.
The selection of articles for this review consists mostly of scholarly, peer-
reviewed journal articles written in English after 1951. Lewin’s (1951) three-step change
theory introduced the concept of sustainability in change through his discussions of
“refreezing” after an organizational change. Even though some seminal articles or key
articles used to show the evolution of change over time were from the 1950s through the
25
1980s, the majority of articles focused on 1990 to present day. Peter Senge’s The Fifth
Discipline (2006) marked the beginning of an increased interest in a systems view of
learning and a focus on building “learning cultures” in organizations (Garvin,
Edmondson, & Gino, 2008; Örtenblad, 2013). Similarly in the change literature, Chin
and Benne (1989) introduced their three change strategies for planned change within the
book, The Planning of Change, which they compiled with Warren Bennis. Shortly
thereafter, Porras & Silvers (1991) wrote about change through organizational
development interventions about that same time. Starting from 1990, both the change
and organizational learning literature was full of theoretical and empirical research,
including how those two bodies of literature interacted with one another.
Multiple library searches were conducted using the Internet search tool from The
Gelman Library at The George Washington University. The search spanned multiple
databases of journal articles, books, and dissertations using the following tools: ProQuest
Education Journals, PsycINFO, PsycARTICLES, ABI/INFORM Complete, EBSCO
Host, JSTOR, Google Scholar, and Dissertations and Theses Online. The literature
selected for this study represents a mix of both seminal and contemporary views on the
learning organization. Search terms included a combination of the following, but are not
limited to: organizational change, planned change, sustaining change, organizational
learning, environment impact and change, reflection and change, structuration and
change, sensemaking and change.
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Organizational Change
History of Change Literature
Since the concept of organizations as open systems by Katz & Kahn (1978),
organizational change has been studied from many angles. Whether looking at the nature
of change, the inputs or outputs of change, the triggers or levers of change, or the
strategies and advice for managing change, there is research to support almost any point
of view.
Research claims that change can be planned (Chin & Benne, 1989) or emergent
(Van de Ven & Poole, 1995). It can be regular and incremental (Klarner & Raisch, 2013;
Michel, 2014). Others talk about change in terms of punctuated equilibrium (Romanelli
& Tushman, 1994; Gersick, 1991, 1994). Still others argue that change is a continuous
state (Brown & Eisenhardt, 1997; Michel, 2014; March, 1991).
Depending on the assumption regarding the nature of change, there are several
inputs to change. Katz and Kahn (1978) discussed several inputs that are still studied
today: environment, roles, models, power, social factors technology, and more. March
(1991) expanded on the idea of the environment as an input stating that most change is in
response to environmental forces. Outputs are studied in various ways as well,
depending on the nature of change. Planned change tends to look at organizational
performance and individual development as a result from typical organizational
development interventions (Porras & Silvers, 1991). Golembiewski, Billingsley, and
Yeager (1976) defined change outcomes in terms of alpha, beta, and gamma magnitudes.
Others defined potential outcomes in terms of behaviors. Reaction to the change
could be a behavioral outcome, either resistance or silence (Amburgey et al., 1993;
27
Hannan & Freeman, 1984; Morrison & Milliken, 2000; Piderit, 2000). Employee and
managerial sensemaking could also be an outcome of change (Lockett, Currie, Finn,
Martin, & Waring, 2014; Luscher & Lewis, 2008; Mantere, Schildt, & Sillince, 2012;
Weick, 1995). Individual, group, and/or organizational learning is another potential
output of change (Argote & Miron-Spektor, 2011; Cordery et al., 2015; Crossan et al.,
1999; Piderit, 2000; Powell et al., 1996). In fact, Powell et al. (1996) argued that change
cannot occur without learning. Finally, the concept of ambidexterity, or the “yes, and”
mentality could also be an outcome of change as the organization make sense of
seemingly opposite qualities that occur in the organization at the same time
(Andriopoulos & Lewis, 2009; March, 1991; Miles & Snow, 2003; O’Reilly & Tushman,
2013).
Other researchers focused on offering advice based on their own assumptions
about the nature of change. The advice tended to fall into a few broad categories. The
first category focused on maximum involvement of organizational members. Developing
a shared vision, empowering others, allowing for improvement throughout the change,
creating change agent networks, and helping people with the paradox were all concepts
that fell into this category (Battilana & Casciaro, 2012; Chin & Benne, 1989; Smets,
Morris, & Greenwood, 2012; Smith & Lewis, 2011). The second major category had to
deal with understanding and adapting to the complexity of change. This included
encouraging pluralism, questioning assumptions, planning for unanticipated
consequences, and dealing with acceleration of change (Glynn, Barr, & Dacin, 2000;
Kilduff & Dougherty, 2000; McKinley & Scherer, 2000; Pettigrew et al., 2001; Plowman
et al., 2007).
28
As the study of change has evolved from the seminal work of Katz and Kahn
(1978), several interesting developments have occurred. First, a few of the concepts
introduced by Katz and Kahn have become a given in contemporary research. Second,
follow on research introduced seemingly contradictory concepts to those found in Katz
and Kahn. Finally, more recently, the concept of paradox and complex adaptive systems
have emerged, offering an alternative to the simplistic, dyadic concepts of “either/or.”
Building off of Katz and Kahn, research began to confront the concepts introduced.
Evolution of Change Research
Several initial concepts introduced in Katz and Kahn were studied. For instance,
Chin and Benne (1989) built upon the concept of an organization as an open system,
where individuals, and their individual motives, are the input for human organizations.
They looked at the concept of motivation and posited three specific motivations that
facilitate change: self-interest, personal values, and fear (responding to power or
coercion).
March (1981) also chose to build upon the concept of organizations as an open
system, this time focusing on the concept that an organization is dependent on its
environment. March introduced the idea that change is not wholly controllable, stating,
“understanding organizational change requires discovering the connections between the
apparently prosaic and the apparently poetic in organizational life” (pg. 575). This
statement by March foreshadowed some of the more complexity-based research to come.
At that time, the research was just beginning to question the idea that change was not as
mechanistic and rote as Katz and Kahn might have thought. However, it was clear that
organizations as open systems was becoming an underlying assumption for all change
29
research. What was once a radical conclusion was now a baseline assumption for all
research.
Van de Ven and Poole (1995) also challenged some of the concepts in Katz and
Kahn. They identified four theories of organizational change that seemed to challenge
the idea that change is planned and driven by organizational efficiency. Van de Ven and
Poole (1995) talked about change being imminent, evolutionary, conflict driven (between
status quo and oppositions to stability), and goal oriented. While this still reflects an
“either/or” mentality, the complex nature of organizations began to be revealed.
Through the research, several dyadic questions emerged. Are changes planned or
are they emergent? Is change static and episodic or is it dynamic and nonlinear? Is
change incremental in nature or revolutionary? Before long, the research began to
answer these either/or questions with “yes.”
Organizational Change is Complex and Messy
Amburgey et al. (1993) concluded in their research that organizational change is
adaptive and disruptive; that change is not uniform and cannot be neatly packaged. They
saw change as a mix of structure, persistence, and flexibility. Gersick (1994) really
started questioning the dyadic nature of previous research by asking if managers could
focus both on implementing change no matter what, and be adaptable to changing
business realities as needed. Through exploring the answer to this question, Gersick
developed her ideas around temporal and event-based pacing, and how both types of
pacing within an organization can help obtain both consistency and adaptation within the
organization.
30
Romanelli and Tushman (1994) introduced the concept of punctuated equilibrium,
explaining how a change disrupts the structured routines. This research ultimately ties
back again to Katz and Kahn and their concept of roles and role conflict. Romanelli and
Tushman posit that there will always be tension between those who are responsible for
enacting changes and those responsible for maintaining organizational stability.
Change in Open Systems
As the evolution of organizational change research continued, new concepts were
introduced. Barley and Tolbert (1997) introduced the concept of institutional theory –
how schemes, rules, norms, etc. become established within an institution. Since
institutions are social structures, the idea of social change was also introduced for the first
time. In Barley and Tolbert’s research, there is also some foreshadowing of the paradox
theories to come; they talk about institutions arising from, and being constrained by,
social behavior and action. While at first glance those two roles of social behavior seem
contradictory, the research and discussion shows how that is the case.
Piderit (2000) focuses on the concept of overcoming resistance to change and how
simply overcoming resistance is not enough. Piderit posits that one must also generate
support and enthusiasm for a change to be successful. This brings home the idea of
democratic change; one cannot simply plan and dictate a change to take the organization
from point A to point B, one must create a groundswell of support. From a social
constructivist lens, Powell et al. (1996) introduces the concepts of innovation and
learning, and how change cannot be understood without understanding innovation and
learning. Powell et al. talk about a “locus of innovation” and “networks of learning,”
31
again supporting other research that introduces this idea of a bottom-up, democratic
change process.
The research is gaining an understanding that organizations, and change within
organizations, are more complex than provided for in the seminal works. Moreover, it is
more complex on several different levels. The concepts introduced in Katz and Kahn,
such as motivation, roles, environment, and others are foundational to the research as it
evolves, but divergences from the more mechanistic, simple view described by Katz and
Kahn.
As the evolution of the change literature continues, there is evidence of a greater
understanding of the true complex nature of open, social systems. Readers are introduced
to concepts such as complex adaptive systems (Buckley, 1968), organizational becoming
(Tsoukas & Chia, 2002), and paradox (Luscher & Lewis, 2008; Lewis, 2000; Smith &
Lewis, 2011). Lewis (2000) explores the concept of paradox through the lens of
complexity and ambiguity. Luscher and Lewis (2008) expand on the idea of paradox by
focusing on how it relates to managerial sensemaking and change. They explain that it is
important to not eliminate the paradox by treating it like a problem to be solved. Instead,
they recommend helping managers make sense of the paradox so they can live
comfortably with the paradox. Smith and Lewis (2011) further expand on the idea of
paradox by presenting a dynamic equilibrium model of organizing and arguing that
cyclical responses to the tension of paradox can actually enable peak organizational
performance and sustainability. The idea of “either/or” has now been replaced by the
idea of “and.”
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Tsoukas and Chia (2002) describe change as “the reweaving of actors’ webs of
beliefs and habits of action as a result of new experiences obtained through interactions”
(pg. 570). They present this concept that change is a normal condition of life and
happens continuously. This concept of perpetual change – the idea that striving to
change from point A to point B is pointless because point B moves before the goal is
reached – is a common theme. The journey through time pauses in the present day with
an understanding that continuity and change are occurring simultaneously; that it is The
Great Paradox.
Planned Change
Planned change has been studied in the research for decades and has been defined
in several different ways. Table 1.1 shows how planned change has been defined through
the research. For the purposes of this study, planned change is defined as a change that is
triggered by a relevant environmental shift that, once sensed by the organization, leads to
an intentionally generated response (Porras & Silvers, 1991). The key component of a
planned change is that it is a deliberate decision to change in response to an
organizational need. The linear start-stop implications of some definitions of planned
change are not consistent with the systems view and the OLSM model this research uses
as its lens. The definition chosen to define a planned change does not limit the ability to
embrace the concept of paradox. A planned change can begin with an organizational
need defined by management, but does not necessarily have a clearly defined start and
stop and is not necessarily a linear, step-by-step process.
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Table 2.1.
Definitions of Planned Change in the Research
Author(s) (Year) Definition of Planned Change
Porras & Silvers (1991)
A change triggered by a relevant environmental shift that, once sensed by the organization, leads to an intentionally generated response. This intentional response is "planned organizational change" and consists of four identifiable, interrelated components: (a) a change intervention that alters (b) key organizational target variables that then impact (c) individual organizational members and their on-the-job behaviors resulting in changes in (d) organizational outcomes.
Porras & Robertson (1992)
Planned change is “a set of behavioral science-based theories, values, strategies, and techniques aimed at the planned change of the organizational work setting for the purpose of enhancing individual development and improving organizational performance, through the alteration of organizational members’ on-the-job behaviors” (p. 723).
Grieves (2000) An initiative requiring change to critical organizational processes that, in turn, influence individual behaviors, which ultimately impact organizational outcomes
Chapman (2002) Planned change can include a change in process or organizational structure, changes in desired employee behavior, or a more transformational change involving a change in values, beliefs, and attitudes
Chin & Benne (1989)
Change in which attempts to bring about change are conscious, deliberate, and intended, at least on the part of one or more agents related to the change attempt
The study of change has, in fact, evolved. Even still, there are areas and
components of the field that require further review. One of these areas is the apparent
disconnect between the scholarly research and what is being used to implement change
initiatives in organizations today (Mohrman & Lawler, 2012). Perhaps this disconnect
has to do with researchers not having operational experience to see how the theories
function in practice.
Mohrman and Lawler (2012) talk about research relevance and how, to be
relevant, researchers need to work with, and learn from, practitioners and collaborate
with colleagues from other disciplines, such as management, to ensure the research can
34
be put into practice and used. “Research is used when it connects to practice and fits the
context practitioner’s experience” (pp 49).
Pettigrew et al. (2001) identified six different areas where the organizational
change literature remains underdeveloped. One that speaks to this disconnect includes an
increased partnership, evident in the research, between scholars and practitioners. In
today’s fast-paced business environment, successful change initiatives are of interest to
organizations; focusing more research with this element in mind might help to close the
gap in evolution between the scholarly research and organizational change in practice.
While the newest concepts of complexity and change are important advances in
the understanding organizational change, most organizational leaders are still looking for
practical advice and information on directing a planned change that moves them toward
their strategic goals. For that reason, this study will be exploring a planned change, while
recognizing the open system nature of change and learning by exploring planned change
through an organizational learning lens.
The literature defines planned change in a variety of ways and each definition
handles the complexity of organizations differently (see Table 1.1). Some definitions of
planned change do not address the idea of real organizations being complex at all (Chin
& Benne, 1989; Porras & Robertson, 1992; Porras & Silvers, 1991). Others recognize
the complex nature of organizations but also recognize the need for organizations to
make strategic decisions and implement change as a practical matter (Chapman, 2002;
Grieves, 2000). In response to the literature that shows a gap between theory and
practice (Mohrman & Lawler, 2012; Pettigrew et al., 2001), in addition to this
researcher’s pragmatic point of view, the definition of planned change chosen to guide
35
this research is a change that is “triggered by a relevant environmental shift that, once
sensed by the organization, leads to an intentionally generated response. This intentional
response is ‘planned organizational change’ and consists of four identifiable, interrelated
components: (a) a change intervention that alters (b) key organizational target variables
that then impact (c) individual organizational members and their on-the-job behaviors
resulting in changes in (d) organizational outcomes” (Porras & Silvers, 1991).
This definition has a baseline assumption that organizations are open systems, as
evident by the concept that an environmental shift is the impetus for the change. The
definition speaks to organizational leadership’s ability and desire to develop strategic
targets as the desired outcome of the change, as evident in the first two components
outlined in the definition. Finally, this definition brings the definition back to the
organizational level, which is important for this research since the level of analysis is at
the organizational level. The next section discusses the literature and definitions of
sustaining change and builds on this definition of planned change in that a planned
change where the desired organizational outcomes are sustained over time is what this
research is exploring.
Sustaining Organizational Change
The concept of sustaining change may seem like an oxymoron to some.
However, Lewin (1951) introduced the concept of sustaining change over 60 years ago.
Lewin stressed that a change toward a higher level of group performance is frequently
short lived; as soon as the active change interventions cease, the organization soon
returns to the previous level. Therefore, it is not sufficient to define the objective of a
planned change as increased performance; the actual permanency of the change, or
36
permanency for a desired period, should be part of the objective of change. According to
Lewin (1951), successful change therefore includes three aspects: unfreezing (if
necessary) the present state, moving to the new state, and freezing at the new state. Only
by striving and achieving the desired level of permanency is the change made relatively
secure against returning to the previous state (Lewin, 1951).
The literature is full of various definitions of sustaining change (see Table 2.2).
Whether the term is refreezing after a change, institutionalizing the change, embedding
the change, or some other term, the concept is the same. Sustainability of a change
involves “the maintenance of new working practices, structures, systems, cultures, and
performance improvements, for an appropriate period” (Buchanan et al., 2005). The
research indicates that Lewin was ahead of his time. While there were points in the
literature where the simplicity of Lewin’s model was critiqued as being too simplistic,
more recently, some prominent scholars have come to believe that Lewin’s model is
deceivingly simplistic and it is that simplicity that allows the model to fit the more
complex understanding of organizations today (Burnes, 2004; Marshak, 1993; Schein,
1999).
Table 2.2.
Definitions and Characteristics of Sustaining Organizational Change
Author(s) / Year Definitions of Sustaining Change
Merriam-Webster To provide what is needed for something or someone to exist, continue, etc.
Lewin (1951) A change toward a higher level of group performance is frequently short lived; after a “shot in the arm”, group life soon returns to the previous level. This indicates that it does not suffice to define the objective of a planned change in group performance as the reaching of
37
a different level. Permanency of the new level, or permanency for a desired period, should be included in the objective. A successful change therefore includes three aspects: unfreezing (if necessary) the present level L1, moving to the new level L2, and freezing group life on the new level. Since any level is determined by a force field, permanency implies that the new force field is made relatively secure against change.
Stjernberg & Philips (1993)
Diffusion of organizational traits that were the subject of the change
Kotter (1995)
Changes need to become part of the corporate culture, a process that can take five to ten years. Until new behaviors are rooted in social norms and shared values, they are subject to degradation as soon as the pressure for change is removed.
Rimmer, Macneil, Chenhall, Smith, & Watts (1996)
Sustainability is influenced by social conventions which in turn reflect the extent to which best practice has been diffused as a normal business modus operandi. Sustainability is affected by wider social norms, beyond the direct control of the individual organization
Dale, Boaden, Wilcox, & McQuater (1997)
Maintaining a process of quality improvement
Senge, et al. (1999)
Sustaining any profound change process requires a fundamental shift in thinking. We need to understand the nature of growth processes and how to catalyze them. But we also need to understand the forces and challenges that impede progress, and to develop workable strategies for dealing with these challenges. We need to appreciate “the dance of change”, the inevitable interplay between growth processes and limiting processes
Datnow & Stringfield (2000)
Effective implementation of sustainable change is not a straightforward process by which design teams simply "insert" innovations into organizations. Rather, it is a process in which real people at various levels of the system work together in a coordinated way over time for a shared aim or purpose.
Howard & Howard (2000)
Dimensions of success in sustaining change are accountability, decision making, information, knowledge, skills, and resource mobilization.
Senge & Kaeufer (2000)
A stage in the longer-term process which begins with implementation and diffusion, then follows with continuous improvement
38
Center for Mental Health in the Schools (2001)
Addressed sustainability in terms of creating "strong arguments" for the viability of an intervention/program. Strong arguments focus on identifying specific functions essential to achieving valued goals, connecting functions to the vision and mission of the organization being asked to sustain the intervention and clarifying the cost-effective strategies.
Wolff (2001) in Julian & Kombarakaran (2006)
The goal of implementation and sustainability involves institutionalizing an initiative through the development of key relationships and the acquisition and application of a variety of resources.
Jacobs (2002) Institutionalization is change that has “relative endurance” and “staying power over a length of time”, or that “has become part of the ongoing, everyday activities of the organization”.
Clark (2003)
Three dynamics of sustained change: reinforcing interaction among transforming elements; perpetual momentum resulting from steady accumulation of incremental changes; and ambitious volition embedded in the org as collective commitment and institutional will.
Partnerships for Success (2003)
Suggested seven avenues for sustaining interventions/programs: explicit statement of mission, adoption of a results orientation, utilization of entrepreneurial skills, well developed management practices, strong community support, integration of new activities into existing structures, and on-going planning and program improvement activities.
Walston & Chadwick (2003)
Achieved through full participation of the majority of managers and employees in the change, and their belief in the ultimate value of the changes. Sustainability rests largely on subjective assessments of the initiative's outcomes and such perceptions may vary significantly by organization level and may not be stable over time.
Buchanan et al. (2005)
Sustainability involves, broadly, the maintenance of new working practices, structures, systems, cultures, and performance improvements, for an appropriate period. Sustainability is a process to be managed, not a condition to be achieved and depends on the organizational context.
Hargreaves and Fink (2006)
When a process of social change becomes sustainable, people perceive it in ways that do not harm but develop and improve existing practices, creating positive benefits for all, "now and in the future"
Julian & Kombarakaran
Sustainability evolves out of successful implementation and focuses on institutionalization of an intervention/program and subsequent
39
(2006) evolution and renewal.
Kaplan, Calman, Golub, Ruddock, & Billings (2006)
There is some debate about what sustainability means in this context - whether it refers to a particular program, the benefits that result from the effort, the relationships are formed among the partners, or the capacity and skills that have been developed.
Kaplan et al. (2006)
Focused more on developing a capacity and commitment among its members, who could then continue to initiate, support, and refine ongoing efforts to achieve initiative goals. Sustainability, defined in this dynamic way, is dependent on the coalition members' developing an institutional commitment to the coalition's goals that extends beyond the implementation of a specific funded program.
Vidović & Bjeliš (2006)
Sustained success lies in harmonizing different components of management to be mutually reinforcing.
Hargreaves (2007) To share, create, and apply new knowledge continuously over time in cultures of mutual learning and continuous innovation.
Vales (2007) Institutionalization - the final step in the change commitment curve where the old way of operating is not recognizable.
Seig & Bubp (2008)
Not a destination. Empowered front-line staff that embrace and adopt the new behaviors needed and the concept of adaptability and continuous improvement.
Juciute (2009) Occurs through ownership, trust, and commitment by end users as well as delivering real benefits.
Curry, Lowery, & Loftus (2010)
Changes have been incorporated in structure, function, belief systems, practices, and cultures
Chidiac (2013)
The stance or activities that assimilate and embed change - attending to the adaptability of the organization's personality functioning as a way of ensuring sustainable change. A shift in the organization's habitual ways of being.
Lopez-Yanez & Sanchez-Moreno (2013)
The key concept of an alternative perspective for lasting improvement based on the importance of local conditions, organizational resources and capabilities, and established practices. This sustainability, or institutional rooting, can be planned but full control cannot be had. Instead, it has to coexist with the self-organizing processes that also take place in every social system.
40
Smith & Sharicz (2013)
Achieved through balancing a certain amount of organization with a certain amount of instability, leading to the predictability with disorder, and a successful planned long-term strategy achieved through many concurrent short-term actions.
Five Themes in Sustaining Change
Most of the research focusing on sustaining change can be found within the past
20 years, with some exceptions of research in the 1990s. While the details and nuances
of the varied research are all different, the body of research on sustaining changes seems
to converge on five main themes. First, there seems to be consensus that in order to
sustain an organizational change, that change must be embedded into the structure of the
organization (Abel & Sementelli, 2005; Albert & Picq, 2004; Alpander & Lee, 1995;
Ament et al., 2012; Bain et al., 2011; Carter, 2014; Clark, 2003; Clark, Cavanaugh,
Brown, & Sambamurthy, 1997; Cooper, 2001; Duffy, 2003; Johnston, 1990; Lopez-
Yanez & Sanchez-Moreno, 2013). Some research focuses on culture as a way to embed
the change. Albert and Picq (2004) posit that the emergence of new cultural norms is a
key ingredient to sustaining change. Others take a process oriented approach, stating that
sustainability of change is a process (Alpander & Lee, 1995). Others talk about processes
from a structuration perspective, stating that the organization’s processes are one of the
ways to embed the change into the organization (Ament et al., 2012; Bain et al., 2011;
Clark, 2003; Clark, Cavanaugh, Brown, & Sambamurthy, 1997).
The second theme identified in the literature is the concept that the clarity of
change and the clarity of the benefits of that change are key to the sustainability of
change (Abel & Sementelli, 2005; Adams, 2009; Aitken, 2012; Austin & Currie, 2003;
Bain et al., 2011; Clark, Cavanaugh, Brown, & Sambamurthy, 1997; Johnston, 1990;
41
Kahn et al., 2009; Kaplan, Calman, Golub, Ruddock, & Billings, 2006; Keyton, 2003;
Law, 2009; Saunders, 2003; Seig & Bubp, 2008; Snyder, 2007; Vidović & Bjeliš, 2006;
Vora, 2013; Walston & Chadwick, 2003). Adams (2009) suggests the use of metaphors
as a way to ensure the change and its benefits are clear to all stakeholders. Similarly,
Law (2009) champions the concept of storytelling for the same purpose. Others
channeled Dewey’s (1938) concept of reflective thinking and recommend reflexive
dialog and individual reflection as a way to increase sustainability (Seig & Bubp, 2008;
Snyder, 2007). Structuration popped up in this theme as well with researchers believing
that feedback loops were key to sustaining change (Aitken, 2012; Bain et al., 2011). Still
others took a more humanistic perspective and focused on appreciative inquiry (Saunders,
2003) or building coalitions (Kaplan, Calman, Golub, Ruddock, & Billings, 2006) as the
way to make the change and its benefits clear.
The third theme found in the literature relates to the need for time, support, and
practice for learning the new behaviors needed to sustaining the change (Alänge &
Steiber, 2009; Clarke & Meldrum, 1999; Julian & Kombarakaran, 2006; Jørgensen,
Owen, & Neus, 2009; Knapp-Philo, Corso, Brekken, & Heal, 2004; Law, 2009; Lawrenz,
Huffman,& Lavoie, 2005; O'Hara, 1996; Seidman & McCauley, 2009; Smith & Sharicz,
2013; Steenekamp et al., 2012). The main premise here is that if a change is going to
eventually become “just the way we do things around here”, then the behaviors need to
become second nature for organization members. Alänge and Steiber (2009) made
practical observations, including that the board of directors needs to get involved to
sustain a change since the board tends to outlast the chief executive officer and the long-
term consistency is key. Others discussed the concept of grassroots organizational
42
development (Seidman & McCauley, 2009) - engaging stakeholders in change agent
networks (Clarke & Meldrum, 1999) or communities of practice (Julian &
Kombarakaran, 2006) to help support organization members as they learned the new
behaviors to support the sustainability of the change.
The fourth theme is very closely tied to the third - building capabilities. There
were several scholars who saw a need for organizations to help members build
competencies needed to perform in the new reality, whatever that was (Auster &
Ruebottom, 2013; Casebeer, Popp, & Scott, 2009; Chidiac, 2013; Clarke & Meldrum,
1999; Julian & Kombarakaran, 2006; Johnston, 1990; Jørgensen et al., 2009; Knapp-
Philo, Corso, Brekken, Heal, 2004; Law, 2009; Lawrenz et al., 2005; O'Hara, 1996;
Seidman & McCauley, 2009; Steenekamp, Botha & Moloi, 2012). While learning new
behaviors is also a form of learning, there is an element of motivation and psychology in
learning new behaviors that does not necessarily exist when discussion capability
building (Steenekamp et al., 2012). Chidiac (2013) speaks specifically of experiential
learning to help organization members learn the new skills they need. Clark, Cavanaugh,
Brown, and Sambamurthy (1997) focus more on building “change-ready capabilities”,
positing that organization members who have the competencies they need to adapt and
deal with change will be better at sustaining the change. O’Hara (1996) makes the claim
that individual learning can lead to organizational change itself, as individuals react and
respond with their new skillsets. Steenekamp et al. (2012) make the connection between
organizational learning and sustaining change, which is in line with the concepts in this
research.
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The final theme was the most pervasive theme in the literature and seemed to span
the various schools of thought, from positivistic to humanistic, to looking at change from
a structuration, complexity, or learning lens - creating buy in and ownership at all levels
(Aarons, Hurlburt & Horwitz, 2011; Auster & Ruebottom, 2013; Chenhall & Langfield-
Smith, 2003; Clark, Cavanaugh, Brown, & Sambamurthy, 1997; Clarke & Meldrum,
1999; Hsu& Sharma, 2006; Jørgensen et al., 2009; Juciute, 2009; Karp, 2004; Karp,
2006; Kezar, 2013; Knapp-Philo, Corso, Brekken, & Heal, 2004; Koch, 1992; Lawrenz
et al., 2005; Nasim & Sushil, 2010; Perkins, 2012; Seidman & McCauley, 2009; Seig &
Bubp, 2008; Snyder, 2007; Steenekamp et al., 2012; Stjernberg & Philips, 1993; Thomas,
Sargent, & Hardy, 2011; Vales, 2007; Vidović & Bjeliš, 2006; Vora, 2013; Walston &
Chadwick, 2003). Clarke and Meldrum (1999) boil organizational change down to a
certain level of analysis, learning, and politics, with politics being the concept of creating
the buy in within the organization. Others, such as Juciute (2009), present the same
concept, but call what Clarke and Meldrum (1999) describe as politics as stakeholder
engagement. Karp (2006) takes a more unique stance, with foundations in integral
psychology, stating that change and growth depend on each person in an organization
who, formally or informally, acts as a leader to a group of followers. Karp (2006) makes
the argument that since everyone plays a leadership role at some point in the change
process, buy in and ownership across the organization is an important part of sustaining
the change. Nasim and Sushil (2010) talk about assisting with buy in by helping
organization members manage and make sense of paradox - that some parts of the
organization will remain constant while other part will change. Nasim and Sushil (2010)
posit that managing this paradox across the organization will help reduce change fatigue
44
and increase sustainability. Kezar (2013) and Thomas et al. (2011) take the idea of
making sense one step further and begin to relate the concept of sensemaking to the idea
of creating buy in and sustaining change. Before diving into the organizational learning
literature in general, or the OLSM model specifically, the next section explores how each
of the four learning concepts found within the OLSM relate to change in the literature.
Reflection and Change
Confucius says that there are three ways to learn: reflection, which is the noblest;
imitation, which is the easiest; and experience, which is the bitterest (Goldberg, 2012).
So, the idea of reflection being a foundation of learning is certainly not new. Dewey
(1938) defined reflective thought as an “active, persistent, and careful consideration of
any belief or supposed form of knowledge in the light of the grounds that support it, and
the further conclusions to which it tends” (p. 9). Sometime later, Mezirow (1990) made a
distinction between reflection, which is aimed at solving the problems on the job and
making tacit knowledge explicit, and other concepts such as critical reflection and critical
self-reflection. The reflection, which focuses on analyzing and trying to change the
values of the organization, is defined as critical reflection. The reflection designed to
assist in the emancipation of the individual in relation to the organization is labeled
critical self-reflection. Breaking down reflection in this way aligns conceptually with the
concept of single-, double-, and triple-loop learning, where single-loop learning is
focused on building competence, double-loop learning is focused on building capacity,
and triple-loop learning is focused on building competitive advantage (Yeo, 2006). Yeo
(2006) makes the claim that through reflection, all three loop learning phases can be
achieved. The literature seems to be in consensus that reflection is at the core of adult
45
learning and professional growth, transformation, and empowerment (Hilden &
Tikkamäki, 2013).
However, is there research to address how the concept of reflection can positively
impact organizational change? Tsasis, Evans, Rush, and Diamond (2013) conclude in
their research that in complex, open systems, like organizations, not everything can be
planned or designed. Therefore, developing the capacity to learn, rather than predict and
respond, must be cultivated. That is consistent with the double-loop learning and critical
reflection described above. Lichtenstein (2000) subscribes to the Schön (1987) model of
inquiry as reflection-in-action and describes the output of this type of reflection as
generative knowledge that can only exist in and through action. Brown and Starkey
(2000) find that critical self-reflexivity can help mitigate the organizational defenses
against change.
Schön’s (1987) concepts of reflection in action and on action are an important
component to how reflection relates to, and supports organizational change. Reflection in
and of itself does not support change; there must be periods of both reflection and action.
Research by Laiken (2003) of 10 organizations supports this point. The research showed
improved decision making, increased efficiency, and enhanced productivity when
workers were able to intersperse periods of reflection with direct action. Gilstrap (2010)
agrees and calls critical reflection an irreversible process by which transformation occurs.
Espedal (2006) focuses on organizational routines, which are outputs of critical reflection
and defined as patterned sequences of learned behavior. These organizational routines
are closely related to the need for balancing the paradox of change and stability within
the organization.
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Sensemaking and Change
Organizational change, no matter how well planned or how much alignment there
is with the organization’s current structure, is hard, and includes moments of ambiguity
and uncertainty. In sensemaking, organizational members seek to clarify the change by
extracting and interpreting cues from their environment, using these as the basis for a
plausible explanation that “makes sense” of the change (Brown, 2000; Maitlis, 2005;
Weick, 1995; Weick, Sutcliffe, & Obstfeld, 2005). Sensemaking is more than just
interpretation. Meaning making is a socially-constructed phenomenon, which is
impacted by the level of participation across the organization (Bartunek, Rousseau,
Rudolph, & DePalma, 2006; Gioia & Chittipeddi, 1991; Sutcliffe, 2013; Weick, 1995;
Weick et al., 2005).
Gioia and Chittipeddi (1991) provided one of the first empirical articles
connecting sensemaking with change. They found in their research that making sense,
and giving sense, are key processes in instigating and managing change. More recently,
Kezar (2013) validated those conclusions over 20 years later. Since those first empirical
and theoretical papers in the early 1990s, there has been a growing body of research on
sensemaking, examining how sense is made in organizations (Clark & Geppert, 2011;
Cornelissen, 2012; Hernes & Maitlis, 2010; Monin, Noorderhaven, Vaara, & Kroon,
2013; Navis & Glynn, 2011; Rudolph, Morrison, & Carroll, 2009; Sonenshein, 2007;
Whiteman & Cooper, 2011), as well the impact of sensemaking on a variety of key
organizational processes, including organizational change and organizational learning
(Bartunek et al., 2006; Bean & Eisenberg, 2006; Ford & Greer, 2005; Ford, 2008; Helms
Mills, Thurlow, & Mills, 2010; Jian, 2007; Kuntz & Gomes, 2012; Kezar, 2013;
47
Kyriakidou, 2011; Landau & Drori, 2008; van den Heuvel, Demerouti, Schreurs, Bakker,
& Schaufeli, 2009; Steigenberger, 2015; Stensaker & Falkenberg, 2007; Taylor, 1999;
Tucker, Hendy, & Barlow, 2015; Weber & Manning, 2001; Weick, 1988, 1990, 1993;
Weick et al., 2005). Sensemaking is central activity in organizations, and one that fills an
important gap in organization theory (Weick et al., 2005).
Structuration and Change
One of the key concepts included in Giddens’ (1976, 1979, 1984, 1991, 1993)
structuration theory is that any agent can impact the structure. There are two key words
in the previous statement that require definition. First, agent. An agent is defined as an
actor that is purposeful, knowledgeable, reflexive, and active (Giddens, 1984). The key to
that definition is action; the agent loses its ability to be an agent when or if they lose the
ability to exert causal power through action. The second term that requires a definition is
structure. In terms of structuration theory, a structure is a recursively organized set of
rules and resources that agents draw on and reconstitute in their day to day activities
(Giddens, 1979).
While a fairly theoretical concept, structuration theory has very practical
organizational change implications. For instance, an agent walks into the restroom at the
office and notices a flyer that is posted every flu season suggesting that people wash their
hands with hot, soapy water and then turn off the faucet and open the door with the paper
towel they use to dry their hands. That sign is part of the structure and influences that
actor. However, the trash can is located under the paper towel dispenser that is nowhere
near the door. That structure is also influencing the actor. The actor exerts causal power
by moving the trash can next to the door, making it easier to follow the suggestion on the
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sign. This purposeful action influences the structure and, potentially, the behavior of
future actors who enter the restroom.
While a simplistic example, it illustrates Giddens’ claim that structures are both
created by humans and influence human actions (1984, 1991) and that structuration is a
dynamic process where structures come into being (1993). Selcer and Decker (2012)
attempted to apply Giddens’ structuration theory to a practical application and came to a
similar conclusion - structuration theory fills in the action-oriented gaps; that
organizations are a process to be uncovered and encouraged. The second concept from
structuration theory that has practical implications is the idea of dualities.
Weaver and Gioia (1994) discuss how structuration theory offers these dualities
of individual people, processes, or positions whose aspects may be temporarily brackets
and how that is much more desirable that the concept of dichotomies that sees each entity
as separate and disparate. This concept of duality is pervasive throughout the literature
using or exploring structuration theory (Akgün, Byrne, & Keskin, 2007; Beverungen,
2014; Cao & McHugh, 2005; Howard-Grenville, 2005; Hussenot, 2008; Sarason, 1995;
Schwandt & Szabla, 2013; Staber & Sydow, 2002). As they were looking at a body of
literature through a structuration lens, Akgün et al. (2007) appreciated how the
structuration view of an organization removed the individual/ organization dichotomy
and integrated the fragmented studies within the literature. This role of structuration
theory is important because it helps lay the foundation for the relationship between and
among the individual and organization, especially when research focuses on
organizational learning, which has the same duality. Sarason (1995) stated that Giddens
developed structuration theory to fill a gap in social theory and, based on the body of
49
literature that found structuration theory a useful construct for their theoretical and
empirical research (Callahan, 2004; Dumay, 2008; Edwards, 2000; Feldman, 2004;
McPhee, 2004; Patora-Wysocka, 2016; Selcer & Decker, 2012; Yeo & Marquardt, 2015),
it makes sense. Structuration theory and its concepts of reflexive action, reciprocal
influence, and duality fit seamlessly into an organizational learning and change research
paper.
Environment and Change
The majority of the research in this body of work is focused on the first theme of
balancing the paradox between exploration and exploitation (Adler & Heckscher, 2013;
Bloodgood & Bongsug, 2010; Danowitz, Hanappi-Egger, & Hofmann, 2009; Dixon,
Meyer, & Day, 2007; Garcias et al., 2015; Holmqvist, 2004; Jansson, 2013; Judge &
Blocker, 2008; Karrer & Fleck, 2015; Kim & Huh, 2015; March, 1991; Zi-Lin &Wong,
2004). Exploitation is about looking inward and reflecting, thriving on productivity and
refinement. On the other hand, exploration looks outside the organization and is
concerned with creating variety, thriving on experimentation and free association
(Holmqvist, 2004). Nominally, those two activities require different types of actions,
behavior, and even organizational culture (Garcias et al., 2015). Figuring out how to
balance those elements in order to successfully manage an organization is the key.
Part of the reason for being able to find the balance and the ability to accept input
from the external environment, while simultaneously leveraging and growing internal to
the organization, is because of the focus of the next theme within the environmental
literature: rejuvenating the life cycle. A large part of the body of literature is focused on
how exploration specifically can help rejuvenate and restart an organizational life cycle
50
and keep an organization viable (Adenfelt & Lagerström, 2006; Jones, 2005; Moran,
Simoni, & Vagnani, 2011; Piao, 2014; Wischnevsky, 2004; Zhang, 2016).
If an organizational leader recognizes that bringing in information and inputs
from the external environment will help keep the organization viable, it is certainly
something that will be explored and enacted. This action leads to the third theme we find
in the literature: the environment as an impetus for change (Shirokova, Berezinets, &
Shatalov, 2014; van der Voet, Kuipers, & Groeneveld, 2015; Zhou, Tse, & Li, 2006).
Zhou et al. (2006) and Shirokova et al. (2014) examined how the environment was the
trigger in emerging environments where organizations must grow and adapt quickly or
perish. In contrast, van der Voet et al. (2015) looked at change in the public sector and
how the environmental complexities regarding change in the government sector impacts
both the type, and success, of change initiatives. Regardless of the focus of the research,
the scholars researching and writing about the environment are writing about what
organizations can learn from themselves and the external environment.
Organizational Learning
This discussion of what organizations can learn from external and internal
environments is fitting. Moving into the organizational learning literature, there are
many of the same conclusions. Several scholars in the organizational learning space
claim that in order for organizations to sustain competitive advantage and keep up with
the precipitous pace of change and innovation, organizations must continuously learn and
transform themselves (Aggestam, 2006; Dixon, 1992; Mills & Friesen, 1992; Nonaka,
2000; Marquardt, 2011; Stata, 1989; West, 1994). One way to do that is through
organizational learning. Many scholars claim that the concept of organizational learning
51
came into favoritism within both the academic and practitioner communities after Peter
Senge’s The Fifth Discipline was published (Senge, 1990) in the United States, and
Pedler, Burgoyne, and Boydell’s (1997) The Learning Company in the United Kingdom
(Garvin et al., 2008; Örtenblad, 2013). However, the concept of organizational learning
has a history of theoretical and empirical development since the concept was introduced
by March and Simon (1958), expanded by Cyert and March (1963), and further explored
by Argyris and Schön (1978).
Since the concept was introduced in the 1950s, and especially since the renewed
surge of interest in the 1990s to today, a variety of ways to conceptualize, view, and
organize organizational learning have been developed. So much so, it remains difficult to
present one concise definition of organizational learning. In fact, Easterby-Smith (1997)
believed that creating a comprehensive theory of organizational learning is unrealistic
because the various existing theories come from a variety of disciplinary perspectives, all
with their own ontological perspectives - and this variety leads to confusion in the
research agenda. In his more recent book with Lyles (Easterby-Smith & Lyles, 2011),
they note that there is still significant diversity in the field, leading to academic debates
on definitions, conceptualizations, and more. However, at the same time, they note the
number of cross-citations, inferring a level of commonality as well. As the field
continues to mature and come to agreement on terminology and other areas of
convergence, perhaps a single definition will emerge after all.
Örtenblad (2002) organizes the various schools of thought in terms of the
literature on organizational learning and how the researchers define the entity of learning:
only individuals can learn; organizations can learn (even if only metaphorically); and,
52
both organizations and individuals learn. The majority of the research falls into the third
category - both organizations and individuals learn.
Argyris and Schön (1978) discuss how employees learn as agents for the
organization with their concept of single and double-loop learning. They posit that
organizations learn through the detection and correction of error. Single-loop learning
maintains the organization’s status quo. However, double-loop learning disrupts, and
leads to the modification of an organization’s underlying norms, policies, and objectives.
One can see how, based on this concept of learning, organizational change occurs.
Argyris and Schön (1978) recommend creating a learning system where both single- and
double-loop learning approaches are used as appropriate.
Several organizational learning scholars leveraged this concept of single and
double-loop learning by theorizing that the knowledge learned through this process is
stored in the memory of the organizations, evidenced by organizational routines,
dialogue, or symbols (DiBella & Nevis, 1998; Hedberg, 1981; Huber, 1991; Marsick &
Watkins, 1999; Pedler et al., 1997; Schein, 1991; Senge, 1990). Table 2.3 illustrated on
the following page highlights various definitions and key components of organizational
learning put forth by selected scholars:
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Table 2.3
Definitions and Key Components of Organizational Learning Theory
Author(s) (Date)
Definition of Organizational Learning Key Components of OL Theory
March & Olsen (1975)
Organizational learning as a potentially disrupted experiential circle - some members of an organization state a mismatch between how the world is and how it should be. This stating of a mismatch leads to an individual behavior, which connects itself to collective behavior, which is mainly understood as collective decisioning. The outer world reacts to it which again is interpreted by the individual cognitions of the organization’s members.
Focused on the impact of the cognitive limitations of managers, noting that the rational adaptation inherent in learning models is probably unrealistic. Rather, ambiguity prevails – goals are ambiguous or in conflict, experience can be misleading, and interpretations are problematic. The authors explored four situations in which ambiguity enters the learning cycle: role-constrained learning, superstitious learning, audience learning, and learning under ambiguity. Together, these four possible disconnects suggest that improvement is not a necessary outcome of learning, even though learning is intendedly adaptive. Instead, when ambiguity is present, beliefs, trust, and perceptions determine what happens.
Argyris & Schön (1978)
There is no organizational learning without individual learning, and individual learning is a necessary but insufficient condition for organizational learning. We can think of organizational learning as a process mediated by the collaborative inquiry of individual members.
Their focus is on individual and group interactions and not systems and structures. Organizational learning involves the detection and correction of error. For organizational learning to occur, learning agents, discoveries, inventions, and evaluations must be embedded in organizational memory. If it is not encoded in the images that individuals have, and the maps they construct with others, then ‘the individual will have learned but the organization will not have done so’
Daft & Weick (1984)
The process by which knowledge about action outcome relationships between the organization and the environment is developed.
Proposes a comparative model of organizations as interpretation systems. The model describes four modes: enacting, discovering, undirected viewing, and conditioned viewing.
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Senge (1990)
“organizations learn only through individuals who learn” (Senge, 1990, p. 139).
Senge declares learning as the process by which the human is developing abilities over the time and calls as the basic level of a learning organization, if this process succeeds collectively inside a group. From his sight, five disciplines make OL possible: personal mastery, mental models, shared visions, team-learning, and systems thinking
Huber (1991)
An entity learns if, through its processing of information, the range of its potential behaviors is changed. This definition holds whether the entity is a human or other animal, a group, an organization, an industry, or a society. An organization learns if any of its units acquires knowledge that it recognizes as potentially useful to the organization, even if not every one of its components learns that something.
Focuses on four learning-related constructs of OL. Knowledge acquisition is the process by which knowledge is obtained. Information distribution is the process by which information from different sources is shared and thereby leads to new information or understanding. Information interpretation is the process by which distributed information is given one or more commonly understood interpretations. Organizational memory is the means by which knowledge is stored for future use.
March (1991)
The development and use of knowledge in organizations
Considers the relationship between the exploration of new possibilities and the exploitation of old certainties in organizational learning and discusses the competition of resources between the two within organizations
Nonaka & Takeuchi (1995)
OL as the creation of organizational knowledge. Within this model, organizational conditions for OL are: intention, autonomy, fluctuation and creative chaos, redundancy, and requisite variety.
Nonaka and Takeuchi differentiate and outlines four modes of knowledge creation: transferring tacit knowledge into tacit knowledge (socialization), transferring tacit knowledge into explicit knowledge (externalization), transferring explicit knowledge into tacit knowledge (internalization) and transferring explicit knowledge to explicit knowledge (combination). For Nonaka/Takeuchi, the process of OL takes place not only from tacit knowledge to explicit knowledge and vice versa, but also from individual to group to organization to inter-organization and vice versa).
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Crossan et al. (1999)
A principle means of achieving the strategic renewal of an enterprise (p. 522)
Their model focuses on strategic renewal to harmonize continuity and change at the enterprise level. They introduce the 4i’s: intuiting, interpreting, integrating, institutionalizing
Marsick & Watkins (1999)
Organizational learning as a continuous, strategically-used process, integrated with and running parallel to work.
Stress that the learning organization constructs is neither a destination nor a prescription for organizational success. Instead, the learning organization is a journey where (1) a learning infrastructure is embedded where knowledge is created, captured, and disseminated, (2) there is a spirit of inquiry, initiative, and experimental thinking and (3) knowledge capital is regularly audited in the organization and barriers are identified that may hamper progress toward continual improvement and innovation.
Schwandt & Marquardt (2000)
A system of actions, actors, symbols, and processes that enables an organization to transform information into valued knowledge which, in turn, increases its long-run capacity (see page 14 for more information).
Schwandt & Marquardt focus on the learning aspect of an organization as a social system and explains how an organization learns so that it can survive in a changing environment. It provides a way of viewing org behavior in such a way that we can vividly see how people in an organization collectively engage in the learning process.
Schein (2017)
The ability to create new organizational forms and processes, to innovate in both the technical and organizational arenas. The alignment among three cultures, two of which are based in occupational communities - (1) the culture of engineering and the (2) culture of CEOs - (the third culture is the culture of operators) and the shared assumptions that arise in the “line units” of a given organization as it attempts to operate efficiently and safely.
Organizations will not learn effectively until they recognize and confront the implications of the three occupational cultures. Until executives, engineers, and operators discover that they use different languages and make different assumptions about what is important, and until they learn to treat the other cultures as valid and normal, organizational learning efforts will continue to fail.
Organizational Learning versus Learning Organization
While some literature, especially those focused on organizational practitioners,
use the terms “learning organization” and “organizational learning” interchangeably,
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most scholars see a distinct difference. Easterby-Smith (1997) contends that most
writings on the learning organization have a different purpose compared to those on
organizational learning. The scholars looking at the learning organization are more
concerned with implementation, not conceptual understanding, unless it improves
implementation. Those focused on the learning organization are more focused on
achieving an ideal future state and are more likely to use an action research agenda,
where there is a close link between the implementation of an intervention and the study
of that intervention. Even in his more recent book with Lyles (Easterby-Smith & Lyles,
2011), he still defers to Tsang (1997) to define the differences between organizational
learning and the learning organization: those studying organizational learning are
interested in the process of learning within organizations. Those interested in a learning
organization have a more performance-oriented point of view, generally with the aim to
understand how to create and improve the learning capacity.
DiBella (1995) makes the product versus process argument that is repeated
regularly throughout the literature. Organizational learning is seen as a process of
learning, and the learning organization as a form of organization. Finger and Brand
(1999) see a connection between the product and process; they define the learning
organization as an ideal organization form and organizational learning as the activities
and processes to reach that ideal form. Schwandt and Marquardt (2000) also make a case
for the product versus process argument. They define the learning organization as a
representation of a desired end while organizational learning is a representation of the
dynamic human processes needed to increase the cognitive capacity of the organization.
Marquardt (2011) further expands on this concept by looking at a learning organization
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from a systems perspective, with learning being the central concept in a learning system,
with organization, people, knowledge, and technology surrounding that central learning
theme. In this expanded view, organizational learning is the enhanced intellectual and
productive capability gained through continuous improvement across the organization;
one part of a learning organization.
Others see the difference in the two concepts as more significant than just a
product/ process distinction. Argyris (1990) sees the organizational learning literature as
skeptical and scholarly, researched by academics, while he sees the learning organization
literature as practice-oriented and prescriptive, typically written by consultants and
practitioners. Easterby-Smith, Burgoyne, and Araujo (1999) describe the organizational
learning literature as the observation and analysis of the learning processes in
organizations. They describe the learning organization literature as action-oriented, with
a focus on tools to increase the quality of the learning process.
Schwandt and Marquardt (2000) Organizational Learning Systems Model
This study is focused on the process of learning the new behaviors required to
sustain a planned change over time. Because of that process component, organizational
learning, as opposed to the learning organization, seems to be the appropriate concept to
use to guide the study. When looking over the various organizational learning models to
use to guide this study, there was one model that explicitly incorporated the themes found
in the organizational change literature.
For this reason, the Organizational Learning Systems Model (OLSM) will be used
as a lens for this study. It views organizations from a systems perspective and does a
good job of incorporating the elements listed above. The OLSM was developed by
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Schwandt (1997) and is based in the General Theory of Action (Parsons & Shils, 1951).
Utilizing Parsons’ General Theory of Action allows for a framework that theoretically
integrates cognition and action, and learning and performance (Schwandt, 1997). The
OLSM has two fundamental components: (1) four subsystems of collective action and (2)
four sets of interchange media (Schwandt & Marquardt, 2000). Each subsystem has a
corresponding set of interchange media (Figure 2.1).
Figure 2.1. The OLSM Subsystems and Corresponding Interchange Media
It is important to note that the media of interchange generated in each of the
subsystems is reciprocal. Each is produced within a subsystem and it is also a required
part of interaction with every other subsystem. This interaction between and among all
subsystems is clearly outlined in the OLSM model itself (Figure 2.2).
Figure 2.2. Theoretical model: The Organizational Learning System Model
© 2000 David Schwandt and Michael J. Marquardt.
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The additional benefit of the Organizational Learning Systems Model (Schwandt
& Marquardt, 2000) is that the interchange media makes the model operational. While
the learning processes that occur in each of the four learning subsystems are not
observable, the interchange media is. This allows the researcher to use the model as a
theoretical framework and data collection tool.
Organizational Learning and Change in the Public Sector
Sotirakou and Zeppou (2004) note that for the past twenty years or more, there
have been a variety of reforms to achieve efficiency, effectiveness, economy, and quality
of service delivery. While Sotirakou and Zeppou (2004) are exploring the public sector in
Greece, looking at the current U.S. President’s management agenda
(https://www.performance.gov/PMA/Presidents_Management_Agenda.pdf), many of the
same priorities still exist in the U.S. Government as well: delivering quality services,
driving savings and efficiencies, and shifting to high-value work are all part of the
management agenda released by the President in 2018. Sotirakou and Zeppou (2004)
share a knowledge management, or learning, solution to help meet the needs of
accomplishing the goals. But, they are not the only ones who have linked learning at the
organizational level to achieving strategic initiatives. Srimai, Damsaman, and
Bangchokdee (2011) link performance management and organizational learning to the
achievement of strategic alignment in the Thai government. Pokharel & Hult (2010)
identify conscious learning in a state government as being the key to organizational
learning and goal achievement. Wise (2006) examined crisis response agencies in the
U.S. federal government and the role adaptive management and learning plays in the
success of a disaster response. Fry and Griswold (2003) examined how technology could
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act as a catalyst for change and learning in a U.S. state government and the strategic
limitations inherent in the process.
Organizational change and learning have played a role in research in the public
sector, especially since the beginning of the 21st century (Bin Taher et al., 2015; Bruns,
2014; Cannaerts et al., 2016; Forrester & Adams, 1997; Fry & Griswold, 2003; Hazlett &
Hill, 2000; Kim & Yoon, 2015; Martin-Rios, 2016; Onesti et al., 2016; Pokharel & Choi,
2015; Pokharel & Hult, 2010; Rusaw, 1997; Rusaw, 2005; Rusaw & Fisher, 2017;
Sotirakou & Zeppou, 2004; Srimai et al., 2011; Tajeddini, 2016; Templeton & Dowdy,
2012; van Buuren & Edelenbos, 2013; Wise, 2006). However, the research tends to
examine either how to implement a new initiative, ignoring the sustainability of the
impact, or the impact of learning and change on an organizational metric (such as
performance management or strategic alignment), ignoring the practical tips regarding
implementation and sustaining the desired outcome over time.
During the time of President Clinton’s National Performance Reform initiatives,
there were quite a few articles specifically on reviewing or critically examining the
government’s ability to change (Kamensky, 1996; McShan & King, 1995; Peters &
Savoie, 1996; Thompson, 1999; Thompson, 2000; Thompson & Ingraham, 1996). More
recently, there have been a couple of articles examining the similar types of changes
examined in this research: a change in the way people work (Brown, Smith, Arduengo, &
Taylor, 2016; Hylmö, 2006). Brown et al. (2016) examine several factors related to
moving to a more dispersed work environment, including telework. They found that trust
was an underlying element that was foundational to the success of that type of change.
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Hylmö (2006) instead examined the employee’s choice and how organizational
constraints played a role in the success of the implementation of a dispersed workforce.
The research on organizational learning and change in the government leaves
several unanswered questions; several gaps in the research. This study aims to fill in
some of those gaps by examining organizational learning and change with a systems
view, addressing both implementation and impact.
Summary of Literature
Across the scholarly and practitioner literature reviewed, four common themes
about sustaining change emerged. The first theme is the idea that periods of action and
reflection are key components of sustaining an organizational change. This is achieved
by creating clarity around the change, creating clarity around the benefits of change, and
facilitating learning to embed the change into the organization. The second theme is that
sensemaking contributes to the clarity of change. In addition to creating clarity,
sensemaking is also an important component of creating buy in and ownership for the
change. Structuration was a third theme that was repeated in the literature. The literature
explored how structuration supported the act of embedding change into the structure of
the world. There were also some who thought the feedback loops from a structuration
standpoint were useful in creating clarity about the change. The fourth theme described
how the environment plays a role in both embedding the change and being the impetus
for the change.
The fact that these themes seemed to pop up regularly in the conceptual and
empirical research is the main reason this researcher is using the OLSM as the theoretical
framework. If truly sustaining change means embedding new behaviors into the fabric of
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the organization, some form of organizational learning is required. In fact, Argyris
(1982) cites a fundamental premise that links organizational development and change
with organizational learning: every organizational change effort requires new learning to
take place in order to succeed. The OLSM model is the lens being used because it
focuses on the learning aspects of an organization as a system (Schwandt & Marquardt,
2000). Additionally, the OLSM incorporates the themes that were pulled from the
literature. The four components of the OLSM include environment interface,
action/reflection, dissemination and diffusion, and meaning and memory.
This chapter has reviewed the change and sustainability literature, the different
variables explored within the change literature (reflection, structuration, sensemaking,
and the environment), and an overview of organizational learning theory. Finally, the
chapter provides the rationale for utilizing the OLSM as the theoretical framework for
this study.
Ultimately, the change literature has evolved over many decades and, while there
are a lot of theories, frameworks, and models, the failure rate of change has not changed
significantly over that same time frame. Additionally, there has been an increased
interest in sustaining change - making sure that strategic changes made within the
organization are “sticky” and last long enough to obtain the intended benefits of the
change in the first place. The scholarly literature covering the sustainability of change is
vast. Even so, there are fewer studies that focus on the public sector and even fewer that
focus on sustainability from an organizational learning lens.
When delving into the change literature generally, reflection and reflection-in-
action, structuration, sensemaking, and the environment have all received significant
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attention individually. However, there is a dearth of research that brought all of those
change variables together, and no research that looked at the sustainability of a successful
change over a two year time frame. This study will contribute to our understanding of
how polices, practices, and structures support and sustain organizational learning after a
planned organizational change and over time. Through a historical case study, explained
in Chapter Three, the research will uncover in-depth qualitative findings that will inform
our understanding of organizational learning and change in a way that has not yet been
researched.
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CHAPTER THREE: METHODOLOGY
Introduction
The purpose of this qualitative, descriptive, embedded case study was to explore
how a government agency developed and sustained organizational learning, using the
OLSM as a lens. To fulfill the purpose of this study, the following research question was
addressed: How did a government agency introduce and sustain organizational learning
during and after a planned change?
This chapter describes the research design and explains the rationale for case
study as the chosen methodology for this dissertation. The method for bounding the study
to a single organization is first outlined. The second section of this chapter outlines the
individual interview and focus group interview protocols. The third section outlines how
historical data was gathered and analyzed. Fourth, observation and document collection
is discussed. Lastly, overall data analysis and the methods in which findings will be
displayed are presented. Table 3.1 provides a summary of the research design. The
researcher’s worldview, reflexivity, methods to increase trustworthiness in the study, as
well as ethical and human subjects guidelines are incorporated throughout.
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Table 3.1 Summary of Research Design
Method Qualitative, historical case study, conducted through an interpretive, pragmatic lens
Research Question
How did a government agency introduce and sustain organizational learning during and after a planned change?
Research Design
In-depth case study investigation
Primary data sources: o Focus group interviews with employees o Individual interviews with change agents o Archival records - data from past surveys, focus groups, etc. o Document collection - communications and publications related to change
Secondary data sources: o Archival records o Direct observation o Organizational artifacts
Study Sites Federal government agency that underwent a planned change, initiated over 5 years ago.
Study Participants
All employees of the Federal agency, including key personnel responsible for managing the change.
Data Sources 60-minute, interviews with key personnel responsible for managing the change and/or the new environment post-change. Independent note taker. Interview notes member checked. 6 interviews conducted.
60-minute, virtual focus group interviews with agency employees. 65 total participants across 4 focus groups total. Independent note taker.
Document collection - raw data from all pre-, during-, and post-change surveys; all notes from pre-, during-, and post-change focus groups and change initiatives.
Document collection - communications (past and present) relating to this change, all published information related to rationale, desired outcomes, and initiatives around the change.
Archival records - employee viewpoint surveys, budget and personnel records from past and present, utilization of new technology (no identifiers collected; using data that is either publically available or subject to the Freedom of Information Act (FOIA).
Direct observation - how staff interacts in the new environment during the course of their day.
Physical artifacts - evidence of what is valued, what behaviors are actively reinforced, etc. in the new environment, post-change.
Field notes - researcher’s perceptions and reflections.
Data Analysis MS Excel for any historical data analysis and descriptive statistics.
MS Excel utilized for qualitative data storage and analysis.
Iterative analysis with continuous triangulation.
Initial coding schemes organized around Schwandt and Marquardt’s (2000) Organizational Learning Systems Model and themes appearing in literature review.
Multiple coding passes for data reduction.
Trustworthiness Audit trail
Triangulation
Member checks - transcripts and themes
Thick description
Reflexive journal and field notes
Independent note taker
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Case Study as Methodology
The methodology selected for this study was case study. Merriam (2009)
describes case study as an “in-depth description and analysis of a bounded system” (p.
40). Keyton (2003) states that cases connect organizational processes to the reality of
organizational practice. Case study is suitable for research that seeks to answer the
“how” and “why” questions within a real-world context (Yin, 2014). Yin (2014) also
states that case study can be driven deductively from a theoretical framework.
Given the research question for this study, seeking to understand if, how, and why
learning was sustained in a real-world organization, and the fact that the OLSM was used
as the theoretical framework, Yin (2014) was best suited to guide this study. This
method allowed the researcher to use all forms of data collection (historical data,
interviews, focus groups, observation, and document review) within a bounded case to
address the research question.
Theoretical and Conceptual Framework
Yin (2014) states that theory provides the guidance for a study, helping to
determine the data to collect and a starting point for subsequent data analysis. For the
purposes of this study, Schwandt and Marquardt’s (2000) OLSM provided the theoretical
foundation. This model is founded in Parson’s General Theory of Social Action with the
premise that both performance and learning have the capacity to change an organization
(Schwandt & Marquardt, 2000). The OLSM model involves four key components:
environmental interface, action/reflection, memory/meaning, and
dissemination/diffusion. According to the model, the learning at the organizational level
occurs within those four components. The premise for the researcher is that the actual
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learning is not observable. However, by observing the interaction of these four
components, the researcher can draw conclusions about how the organization learns.
This study examined how the various elements of the OLSM were sustained over
time after a planned change. As illustrated in Figure 3.1, the conceptual frame shows
how the OLSM model was used as the framework and lens to deductively examine the
sustainability of organizational learning over time.
Figure 3.1. Conceptual framework: How organizational learning is sustained over time
Researcher’s Worldview
Creswell (2014) defines worldview as a “general orientation about the world and
the nature of research that a researcher holds” (p. 6). This researcher’s worldview is
shaped by 24 years of experience leading projects and people and the non-traditional
education path that produced a B.S. in Recreation Management, an M.S. in Financial
Management, an M.B.A., and a Master’s Certificate in Project Management. All of the
continuing education past the Bachelor’s degree was done while working full time in a
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leadership role. Both throughout my experience as a leader and a student, my focus and
strength has always been on problem solving. Solving problems of practice, and in this
research, closing the research-practice gap, served as the primary motivation for this
study.
Based on this background, the researcher brought a pragmatic worldview to the
research. Pragmatic research is grounded in understanding the problem first and
foremost, recognizing that research always occurs in a larger context (Creswell, 2014).
Pragmatism is not limited to one research method to address problems and pragmatists do
not see the world as needing to be subjected to radical criticism (Crotty, 2011). Instead, a
pragmatist uses “all approaches available to understand the problem” (Creswell, 2014, p.
10). Pragmatic research emphasizes the uncertainty and changing nature of research
finding and its dependence upon context (Ormerod, 2006). Case study fits within this
pragmatic worldview because knowledge can be gained from a variety of sources.
Additionally, the OLSM also aligns with the pragmatic worldview. The model is
an action-based model designed to bridge theory and practice to help solve organizational
problems (Schwandt & Marquardt, 2000). The theoretical foundation of the model itself
is Parsons’ General Theory of Action, which depicts organizations as systems of social
actions (Schwandt & Marquardt, 2000). The OLSM breaks the system down into
segments and observable phenomenon, but shows each segment and behavior within the
larger context. This is completely in line with Stake’s (1995) statement that a case study
is used to do an in-depth study of a system based on diverse data collection materials,
with an emphasis placed on the broader context or system.
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Bounding the Case
Yin (2014) states that bounding the case is useful because it helps to determine
the scope of data collection and distinguish relevant data from the broader context in
which the study takes place. Merriam (2009) includes the concepts of a bounded case
within the definition of a case study. In fact, the very concept of a case study implies the
demarcation of what is, and is not, included within the case. For the purposes of this
study, the case study focused on one organization and, specifically on a change event of
resulting behaviors within that organization. The OLSM also helped to theoretically bind
the case by defining the specific types of data to collect and analyze to address the
research question.
Case study involves an in-depth study over an extended period of time in the field
for data collection (Merriam, 2009; Yin, 2014). The organization chosen was a choice of
convenience and practicality for the researcher. The researcher had in-depth access to the
historical data and the current workforce because the researcher was employed at the case
agency. The intent of data collection in case study, according to Yin (2014), is to collect
data from the participants in their everyday situations but acknowledges this type of
research can intrude on the organization being studied and the participants. Since the
researcher was part of the organization and understood the day-to-day activity, the
interference in daily operations was kept to a minimum. While the subjectivity and
reflexivity statements are even more important and the researcher managed bias carefully,
the level of access and the understanding of the overarching context and system provided
a benefit that outweighed potential bias.
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The Setting
The change that this agency undertook was a move from traditional office space
to a hoteling work environment with increased remote working opportunities. This
change reduced the space footprint of the agency’s District of Columbia metro area
employees by 50%, saving over $24 million annually in rent. Porras and Silvers (1991)
thought that more research was needed on the “direct effects of physical-setting change”
(p. 75). However, this change was much more than a physical-setting change. With the
recent advances in technology, and the majority of office work being knowledge work
that is not tied to a specific space, workers are becoming more geographically dispersed
and loosely-coupled. In order to convert those changes into cost savings, businesses are
moving towards an increasingly more mobile workforce (Bean & Eisenberg, 2006).
This was the type of transition facing the agency. Employees not only moved to a
new office building, they changed the fundamental way they worked. For the majority of
the employees, there is no longer assigned office space, or even assigned seating. Instead
of cubicles and offices, there are simply desks out in the open that an employee can
reserve for the hour or for the day. The transition from the traditional way of working to
the new way of working was not easy for many employees (Bean & Eisenberg, 2006).
The desired outcome for this change, defined by leadership, was also
multidimensional. In addition to the substantial cost savings, stated goals included
increased collaboration between organizations, increased staff agility, increased
innovation, and an understanding that “work is what you do, not where you are”. This
study looked at the entire change process, how they achieved the stated goals, and how,
and to what extent, the organization sustained the desired behaviors post-change.
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The case chosen for this study was a U.S. Government agency. This agency is a
civilian (non-defense), mid-sized agency and the headquarters is located in Washington
D.C. In order to effectively address the research question, the organization went through
a successful planned change over five years ago and there were several visible
components that imply the agency was successful at sustaining the change over the five
years since the change.
Participants
The population under investigation consisted of all employees in the Washington
DC Metro area impacted by the change under investigation, either by living through the
change and/or living in the post-change environment. Specifically, the study focused on
two groups of employees. The first group were the change agents who either helped
manage this change or who were responsible for sustaining the new environment post-
change. Because this group was a smaller group given the insights they were able to
provide, especially as it pertained to the historical data and artifacts, this group was asked
to participate in one-on-one interviews. The second group of participants were all other
employees. This group was highly diverse. All employees were full-time employees.
However, there were various job titles and salary levels, various education levels, and
various length of service at the agency. This second group consisted of about 4,000
employees. Because of the size and diversity, a subset of this group of participants was
randomly selected to participate in focus group interviews. Of the four focus groups, two
groups were set aside for employees who arrived at the organization post-change and the
other two focus groups were set aside for employees who “lived through” the change.
Both the interviews and focus groups were completely optional to avoid any labor union
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implications. History in the agency shows a participation rate of about 20 - 30% in
optional focus groups. The participation rate for interviews is historically higher, up to
100% in some cases.
Data Collection Methods and Process
Yin (2014) claims case studies are useful as a methodology because of the
multiple sources of data that come together, strengthening the trustworthiness of the
study and making a more convincing conclusion than if the study only relied on one
source of evidence. For this study, evidence was collected from six sources - individual
interviews, focus group interviews, documents, archival records, direct observation, and
physical artifacts. The order in which this is done is important to increase the
trustworthiness of the study. The examination and analysis of historical data and artifacts,
as well as current organizational documents was the first phase of analysis. This allowed
the researcher to finalize the questions for the individual and focus group interview
guides based on the analysis. The researcher then conducted the individual interviews.
By conducting the individual interviews first, any perceptions of the broader workforce
espoused by the participants in the individual interviews could be validated in the
employee focus groups. The focus group interviews were the final phase of the data
collection, validating any themes or perceptions that came to light during the previous
phases. Direct observation occurred throughout the data collection period. Figure 3.2
illustrates the proposed six-week data collection schedule for three data collection phases.
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Figure 3.2. Data collection plan for three phases.
Data Source One: Individual Interviews
The first source of evidence was one-on-one interviews. Qualitative interview
procedures described below are based on guidance from a number of scholars (Rubin &
Rubin, 2012; Seidman, 2006; Weiss, 1994). For the purposes of this study, semi-
structured interviews were conducted with the key change agents involved in either
managing the change at the time and/or responsible for managing the current
environment post-change. In this format, the researcher had a limited number of prepared
and follow-up, probing questions that focused narrowly on the research topic (Rubin &
Rubin, 2012). The purpose behind these in-depth interviews was to obtain rich, detailed
information with examples, stories, and experiences that conveyed the participants’
experience with this specific change within the organization. The intent for conducting
interviews was to further understand and illuminate the policies, practices, and structures
that facilitated and sustained the change using the OLSM as the theoretical framework.
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The target audience for interviews included the change agents assigned from each
organizational group within the agency impacted by the change who helped manage or
lead change initiatives, those currently responsible for maintaining the hoteling structure
within the building and accommodating exception requests, and those who are using the
lessons learned from the change experience to advise other agencies. The researcher was
able to interview six change agent participants.
Each 60-minute interview was a guided conversation rather than a structured
question and answer session that, according to Hennink (2014), “offers the opportunity to
explore issues in greater depth and to collect personal narratives and individual
experiences” (p.29). Yin (2014) claims shorter interviews around one-hour in length are
acceptable in case studies when interview questions are organized around the study
protocol rather than extended open-ended inquiries about interviewees interpretations and
opinions about events, which could last for two or more hours and over an extended
period of time. The 60 minutes was sufficient and understood that a longer interview time
frame would have produced a much lower acceptance rate because of the busy nature of
those who were invited to participate in this study. Interviews were held in-person, in a
comfortable setting where distractions from customers and employees were minimized.
Participants were not audio recorded because of organizational constraints - all
nonsupervisory employees are covered by one of two bargaining units and recording the
meetings and the bargaining unit employees’ statements would have required a longer
approval timeframe, if it was approved at all. So, the researcher made good faith efforts
to record thorough notes and capture verbatim comments to interview questions within
the 60-minute time period.
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Interview questions were stated in a friendly and conversational tone to elicit
descriptive responses from the interviewee (see Appendix B for the interview guide). The
researcher followed the interview guide to foster conversation but avoided asking
questions out of idle curiosity and did not form judgments about the interviewee’s
comments. When the interview concluded the participant was thanked and the researcher
made initial field notes in an electronic journal.
Data Source Two: Focus Group Interviews
The second source of evidence was focus group interviews. Marshall and
Rossman (2011) explain that focus groups provide the opportunity to gather a wider view
of information about the topic at-hand and serve as other data points that complement
other data collection methods employed in the study. Hennink (2014) suggests focus
groups “uncover various facets and nuances of issues that are simply not available by
interviewing an individual participant” (p. 3) and that the group environment “enables
participants to raise different perspectives…identifying new issues or perspectives on the
research topic that may be unanticipated” (p. 31). Data collected from focus group
interviews serves as a quality check and tends to weed out false or extreme views because
of the social moderation among group participants (Hennink, 2014; Patton, 1990).
The manner in which the researcher structured the focus group interview format
was based on the guidance from Krueger (1998a, 1998b). This study had four separate
focus groups. Two focus groups consisted of a random selection of employees who met
the criteria of having a duty station in the DC Metro Area and an onboard date for the
organization that was prior to the change in 2013. The other two focus groups consisted
of a random selection of employees who met the criteria of having a duty station in the
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DC Metro Area and an onboard date for the organization that was after the change in
2013. The rationale for having four, smaller focus groups is to meet the criteria set by
Krueger and Casey (2000) - “small enough for everyone to have an opportunity to share
insights and yet large enough to provide diversity of perceptions” (p. 10). It would also
have been impractical and logistically difficult to manage one-on-one interviews with
enough employees to provide that diversity of thought.
The researcher moderated a 60-minute discussion to surface perspectives from the
participants following a focus group interview protocol (see Appendix E). While the
focus groups were meant to be conversational in nature, a script was necessary to ensure
the process was replicated in each of the focus groups. Efforts were made to make the
phrasing and delivery of instructions, questions, and overall facilitation less “scripted” so
that the researcher could connect with participants and build rapport. Rapport was
important to establish a sense of community and trust with participants to foster open
conversation and to elicit descriptive detail when key questions are asked (Krueger,
1998b). Additionally, rapport was established by connecting with participants very early
in the interview by conveying the commonality the researcher has with the participants -
the researcher lived through the change as well. Finally, rapport was established by
sharing why this research is being conducted and offering a report summarizing the
results to all participants who are interested once the research is completed.
Prior to data collection, the researcher conducted a peer review with colleagues
familiar with focus groups to check if interview questions were clear and conversational
in nature. While the focus group itself is not pilot tested (Krueger, 1998a), the researcher
worked with colleagues to evaluate the conversational nature of questions, address points
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where disconnects could occur between participant and researcher, where questions could
be misinterpreted, and questions that led to stories versus short, closed-ended responses,
except where closed-ended responses were desired. The researcher acknowledges that
despite good faith efforts to make conversations as clear and compelling, not all
participants respond equally. Krueger (1998b) suggests researchers should anticipate 40%
of the participants will actively participate, 40% will need to be slightly coaxed into the
conversation, and 20% will contribute little to the focus group. The researcher notes that,
through tight facilitation of the focus groups and the option of utilizing the chat function
instead of talking out loud, everyone who attended shared their thoughts either verbally
or in writing.
Focus group size range in size. The goal was between 10-20 participants. Based
on historical focus group responses, 50 people were invited to each focus group. The
smallest focus group was 9 people and the largest focus group was 25. The number of
focus groups according to Hennink (2014) is iterative until the researcher believes
saturation is achieved and Krueger (1998a) suggests saturation is reached between 3 and
12 focus groups. With 65 total participants, saturation was reached within the four
planned focus groups.
Focus group interviews were hosted on the organization’s virtual meeting site that
allows audio, sharing of computer screens, polling, recording of the meeting, and has a
chat function. The virtual method of focus groups was in line with the new behaviors the
participants have become adept to post-change. Additionally, it provided an extra layer
of anonymity for those who want it and it provided a non-verbal way of contributing for
those who were less likely to speak out in a group. While the virtual option does not
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always make sense in a research setting, the organization being studied has placed value
on dispersed work environments. So, the idea of a virtual meeting was commonplace
within the organizational context. Finally, the dispersed work environment has been fully
embraced by the organization and 50% of the workforce was working off site on any
given day. Providing a virtual option provided the highest likelihood of a good
participation rate. The average participation rate was in line with what history indicated;
there were 65 participants out of 200 invitees, or a 32.5% acceptance rate.
A supportive and conversational environment was key to fostering open
discussion, therefore the questions the researcher asks were open-ended and “deceptively
simple,” which allowed participants to share their perspectives, build off of one another’s
statements, and offer differing perspectives (Krueger, 1998b; Marshall & Rossman,
2011). In addition to jotting notes of what participants say and the points they emphasize,
the researcher kept track of time and guided discussion away from irrelevant issues that
arose. The researcher made judgment calls as to the extent of probing questions from the
focus group interview guide to keep the discussion flowing during the allotted time. After
the focus group interview concluded, each participant was thanked and informed of next
steps. The researcher reassured participants their information remains confidential.
Afterward, the researcher entered electronic field notes based on the focus group, noting
insights, emotions, and any personal learning that would be used to facilitate future focus
group interviews.
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Data Source Three: Documents
According to Yin (2014), documents come in a variety of forms and are likely to
be relevant, to some degree, in almost all case studies. Documents can include letters,
memos, and other personal documents; agendas, meeting minutes, and other written
reports of events; administrative documents such as proposals and progress reports;
formal studies of the same “case” being studied; and media coverage of the event(s).
This case study looked at previous studies, internal communication documents regarding
the change being studied, other materials created to support the workforce during this
change, and any media coverage or articles written about the change. Yin (2014) warns
that documentation, even those considered verbatim meeting minutes, should not be
accepted as literal recordings of past events. Based on that caution, one of the two goals
of the document collection in this case was to corroborate and augment evidence from
other sources.
Marshall and Rossman (2011) assert that the collection of documents in research
studies should be linked to the research questions developed from the theoretical
framework for the study so the data collection effort is manageable and not an exercise in
collecting as much information as possible. The OLSM provided a guide to follow when
examining an organization using the model. Variables such as employee survey data,
decision-making or business processes, policies, the language and symbols used, etc.
were all variables that could inform the assessment of the organizational change and how
it has been sustained over the years (Schwandt & Marquardt, 2000).
The second goal of document collection was to help frame the interview and
focus group questions. While individual and focus group interviews were very important
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in capturing the data for a complete analysis, the review of the current documents related
to this change helped guide the researcher in the questions to ask, the language to use,
and the context in which the participants might be answering the questions. The
researcher categorized and stored documents in a manner that can be readily reviewed by
readers seeking additional information about the data collected.
Data Source Four: Archival Records
Yin (2014) considers archival records to include large data sets, such as the U.S.
Census survey data about participants, service or human resource records, budget records,
etc. Yin (2014) also cautions that most archival records were created for a purpose other
than the case study investigation and that sometimes the effort to collect, organize, and
analyze archival records might far outweigh the probative value they offer to the case
study investigation.
There are several opportunities for utilizing archival records to understand the
overarching environment before, during, and after the change. The most relevant
archival data source ended up being the Federal Employee Viewpoint Survey (EVS) that
is collected annually. The researcher was able to get agency-level data that covered the
first survey post change to the most recent survey (2014 - 2017) and examined the results
across several relevant questions in order to see the trends over time. These trends over
time helped to validate the perceptions of both interview and focus group participants and
how they interpreted the change over time. This information was used with a similar
purpose to document collection: to validate other information and to provide a more
complete picture of the environment before, during, and after the change.
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Data Source Five: Direct Observation
The fifth source of evidence was direct observation in the real-world setting.
Because the researcher was also a staff member in the organization being studied, all
observations were classified as “participant-observation” (Yin, 2014). Merriam (2009)
contends observations should be tied to the researcher’s purpose of the study and the
theoretical framework. The researcher’s purpose for conducting observations was tied to
uncovering how the various aspects of the change, including desired outcomes and
behaviors, have been sustained and to what extent. The OLSM framework’s main
premise is that, while the actual learning subsystems cannot be observed, the outcomes
from each learning subsystem can be observed. The observation guide (Appendix D) was
crafted with that concept in mind. Merriam (2009) claims, “observational data represent a
firsthand encounter with the phenomenon of interest rather than a secondhand account of
the world obtained in an interview” (p.117). Using Merriam (2009) as a guide for an
observer-as-participant role, observation protocol and field note guidance was drafted to
assist the researcher in capturing details from the organization. In this study, the
researcher was an employee in this organization. So, any observations were minimally
distracting for the organization. However, the researcher was careful to separate daily
work with research observation and ensure that, in the role as researcher, the researcher
did not participate in the actual activities being observed. This protocol established a
systematic process that assisted in triangulating emergent findings from interviews and
document analysis, subsequently enhancing the trustworthiness of the study results (see
Appendix D).
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Observations were frequent over the course of the study and they focused on the
organization and operations instead of individual practices. Merriam (2009) contends
recording observations can be exhausting and data can overwhelm the researcher if time
is not allocated judiciously. Highly descriptive handwritten notes were taken while on-
site and further reflections were captured in the researcher’s electronic field note journal.
Soon after each observation, full observation notes were typed in bulleted, narrative form,
which was used for later analysis.
Finally, the researcher took note of the physical environment where employees
interacted and learned as Yin (2014) claims the environment in which subjects are
observed may contribute to the researcher’s understanding of about the culture of the
organization. As it relates to this study, the researcher observed physical artifacts and the
various physical settings in and around the workplace.
Data Source Six: Physical Artifacts
The final source of data was the physical and cultural artifacts in the organization.
While Yin (2014) states that physical artifacts have less potential relevance within the
context of a case study investigation, the artifacts throughout the space that support and
reinforce the change being studied will be important to note. This data looked at how
pervasive the use of technological tools are, what behaviors are highlighted through
“etiquette” posters in meeting and public space rooms, etc.
Combining the physical artifacts with the other five data sources allowed the
researcher to obtain a more complete picture of the important elements of the
organization, past and present. This approach of obtaining multiple data points to draw a
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conclusion is a best practice in case study research and, the more the data points
corroborate each other, the more valid the research will be (Yin, 2014).
Data Analysis
Yin (2014) emphasizes that there are few formulas or scripts to guide the
researcher to interpret case study data. Similarly, Merriam (2009) claims data analysis
involves, “consolidating, reducing, and interpreting what people have said and what the
researcher has seen and read – it is the process of meaning making” (p.176). Data
collection and analysis are concurrent activities, which, according to Miles and
Huberman (1994) make analysis an on-going and lively event that affords researchers the
ability to course-correct the data collection processes if necessary. For this case study, the
analysis was iterative in nature, stopping after each phase to do a preliminary analysis
and adjust the next phase of data collection as needed. As illustrated in Figure 3.2, Phase
I included the collection of all archival and document source data, including emails and
media coverage. This was the longest phase since the data collected in this phase
incorporated all five years of the study. The second phase was the one-on-one interviews
with six change agents. The final phase was included conducting four focus groups with
current employees - two groups had not lived through the change and two groups had.
Finally, data observation occurred throughout the data collection period according to the
observation guide (Appendix D). As this iterative process continued throughout the data
collection phase, the researcher evaluated how the data tied back to the theoretical
proposition grounding the study. The researcher looked for confirming or disconfirming
evidence across the elements of the Organizational Learning Systems Model (Schwandt
& Marquardt, 2000).Yin (2014) suggests examining plausible rival explanations that may
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explain what was observed in the field or collected in interviews that are the result of
some other influence. During data collection, evidence of other influencers was noted in
the findings.
Themes
Miles and Huberman (1994) and Marshall and Rossman (2011) suggest
researchers develop an initial list of categories prior to data collection and analysis. While
these initial themes are not meant to constrain the researcher, they are intended to be a
starting point for analysis. The OLSM, as the theoretical framework, provides the
categories to start. For details regarding these categories, see Table 3.2. Codes,
according to Saldaña (2009), are words or short phrases that “symbolically assigns a
summative, salient, essence-capturing, and/or evocative attribute for a portion of
language-based or visual data” (p. 3). As data was collected and codes were created, the
researcher kept a running list of possible codes that emerge after reflecting on the various
data points and historical information. These notes also served as preliminary clues as to
possible themes that became more (or less) pronounced as data from all data sources were
evaluated as a whole. Creswell (2014) notes that codes may emerge from data that is
surprising, which is important to note for the study findings. Ultimately, the themes that
emerge within the data, validated by one or more additional types of data, help triangulate
findings and increase the trustworthiness of the study.
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Table 3.2.
Initial Categories from OLSM Adapted from Schwandt and Marquardt (2000)
Dyad Theme Patterns of Interaction
One - New information and goal reference knowledge
The presence or absence of reflection; the opportunity to question actions; the knowledge produced through reflection; the synthesis of external knowledge; whether actions on new knowledge support or disrupt the routine
Two - Structuring and goal reference knowledge
The absence or presence of leadership and structure that supports the desired end state; the clarity and flow of information; the effectiveness of the communication between layers in the organization; the amount and rigidity of territorial boundaries
Three - Structuring and new information
The absence or presence of leadership and structure that supports the desired end state; the knowledge produced and distributed through reflection; the clarity and flow of information; the effectiveness of the communication between layers of the organization; the amount and rigidity of territorial boundaries
Four - Structuring and sensemaking
The absence or presence of leadership and structure that supports the desired end state; the amount and rigidity of territorial boundaries; the alignment of shared values; the need for individual identities; the level of separateness and conflict and the extent to which those things drive routine actions
Five - Goal reference knowledge and sensemaking
How the reflection, or lack thereof, supports or disrupts the desired end state and the old assumptions; the presence of signals that indicate a need to reflect and make sense of the new way; an understanding of the agency goals and end state
Six - New information and sensemaking
The level to which the basic assumptions support or detract from the desired end state; the amount of filtering new information goes through as it enters the organization; reflection on the agency goals and desired end state
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Trustworthiness
Several steps were taken to increase the trustworthiness of the study. First, an
audit trail was conducted to document data collection and analysis as the case study
occurred over a period of six weeks and included historical documents. Merriam (2009)
describes an audit trail as “a detailed account of the methods, procedures, and decision
points in carrying out the study” (Merriam, 2009, p.229). This is important as the data
collection strategies may have altered over time as the researcher completed and
evaluated each phase. Since the scope of this case was a historical one that spanned over
five years, the audit trail also helped the researcher sort through the data and present
findings for the “holistic picture” rather than loosely connecting data (Krefting, 1991,
p.220). Second, data triangulation included the historical data and artifacts; current
document collection; one-on-one and focus group interviews that were recorded and
transcribed; direct observation notes; and personal journal memos. According to Krefting
(1991) using a variety of different sources “maximizes the range of data that might
contribute to complete understanding of the concept” (p. 219). Third, reflexivity was a
key strategy as it involved disclosing self-awareness and critical self-reflection. Given
that the researcher was an employee of this agency and was a change leader with over 20
years of leadership experience, it was important to disclose biases to ensure the study
participants’ voices were heard and not censored by my worldview.
Fourth, field notes were taken throughout the data collection process. Notes were
made prior to data collection, describing what the researcher thought the data would
show. As themes emerged, the field notes were checked to see if the pre-conceived
notions of the researcher contributed to the themes and patterns that were emerging.
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When the themes were similar, other data points were used to validate a theme before
being included in the findings. Field notes, according to Yin (2014), while not highly
polished, were stored in a way that can be easily retrieved by a reader seeking additional
information about the data collected, as they only need to be “organized, categorized,
complete, and available for later access” (p.125). Field notes assisted the researcher in
keeping track of personal insights and reflections, as well as the noted emotions the
researcher felt during the interview, which allows the researcher to bracket personal
insight and experience that comingle with the raw data captured (Marshall & Rossman,
2011).
Fifth, the interview notes were cleaned up and each participant was provided their
transcript for review and comment. These member checks enhanced the reliability of the
data collected and afforded each interview participant the opportunity to validate that the
researcher captured the interview correctly, and for the participant to provide any
corrections or further insight pertaining to the study (Marshall & Rossman, 2011;
Merriam, 2009). While member checks were done with the individual interviews, they
were not possible for all of the focus group participants since those participants were
virtual and anonymous to the researcher (the researcher knew the random sample that
was invited, but not who actually showed up to participate). That being said, several
focus group participants reached out to the researcher after the fact to thank the
researcher. For those who reached out, I provided the focus group themes for their
review to see if they heard the same themes in the focus group. There were no changes
identified for any of the interview notes or focus group themes. Many offered to provide
additional context if needed, but thought the original conversations we captured
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accurately and the themes from the focus groups were in line with what the participants
heard in the focus group they participated in.
I did not conduct a formal peer review process since there was no other person in
the organization (that I had access to) trained in qualitative research methods. However, I
did have several organizational leaders and change agents review the themes and patterns
outlined in my findings to provide a “smell test” of the results. Additionally, I asked a
neutral third party to take the interview and focus group notes so that I was sure not to
infect the interview and focus group transcripts with my bias before the iterative coding
occurred.
Finally, I provided thick description and unattributed, verbatim quotes and data
points in Chapter Four so that the reader could see the data for themselves and determine
if the themes and patterns that were defined made sense to them and whether the findings
would be transferrable to other organizations or settings (Creswell, 2014; Merriam,
2009). Creswell (2014) outlined eight validation strategies to overcome researcher bias
and recommended that every study conduct at least two of the validation strategies. Of
the eight validation strategies I employed, 5 of them were recommended by Creswell.
Because of my role in the organization, it was important for the validity of this study to
do as many validation strategies as practical. The final recommendation of Creswell
(2014) is clarification, were the researcher comments on past experiences, biases,
prejudices, and orientations that have likely shaped the interpretation and approach to the
study. This is found in the reflexivity statement, below.
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Reflexivity Statement
Krefting (1991) and Johnson (1997) claim that stating the researcher’s personal
history and the multiple roles they played while engaged in the research helps to establish
greater trust in the study. Generally, I have been a leader, in one form or another for over
24 years - leading people and projects. This informed my pragmatic, problem-solving
worldview and focus. This is furthered by my academic studies. All of my degrees - a
B.S. in Recreation Management, an M.S. in Finance Management, an M.B.A., and a
Masters Certificate in Project Management - were all practical in nature (i.e. not research
based). I brought all of this practical experience and interest in problem-solving to this
research.
However, perhaps most importantly for this research, I was an employee in the
organization being studied. I not only lived through the change being studied, but I was
responsible for managing the change for about half of the impacted employees. While
this gave me the type of in-depth access and knowledge of organizational context needed
for this research, it also meant I needed to be very aware of my own perceptions and
beliefs and not ascribe those to the study participants. The personal journaling and
reflexivity throughout data collection was very important to making sure the reader can
sort out my subjectivity from the results of the data collection itself.
Finally, I had a personal and professional interest in the pragmatic nature of
change in organizations. As a change leader who was responsible for leading major
organizational and culture change in the agency, the research findings will ultimately
inform the work I do and what I share with other change leaders within my own network.
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Human Participants and Ethical Considerations
Participants in this study were asked to voluntarily participate in either focus
group interviews or one-on-one interviews. Observation of the work place was focused at
an organizational/ operational level and not focused on any individuals. The questions in
both the interviews and focus groups concentrated on perceptions of experiences at work
related to a specific change. There were no traumatic or personal questions and there
were no questions concerning illegal activity. All participation was completely
voluntary.
The most serious risk of harm participants were subject to was a breach of
confidentiality. Participants were told their responses would be kept confidential. All
steps possible were taken to ensure there was not a breach of confidentiality. No names
or personally identifiable information was collected in the focus group interviews; all
participants had an option of joining the focus group anonymously so even the researcher
did not know the identity of the participant. For the one-on-one interviews, the identity
of the participant was known by the researcher. However, the name of the participant
was at no time connected with the actual responses provided during the interview. All
references to the participant were based on a number that individual was provided. Data
collected for the research study was stored in a password protected personal, cloud-based
storage system. Additionally, all participants were made aware aggregated data would
appear in a doctoral dissertation and in subsequent industry-related publications at the
conclusion of the dissertation defense. Finally, to the best of the researcher’s knowledge,
all ethical and human subject guidelines as outlined in The George Washington
University Institutional Review Board (IRB) were followed.
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CHAPTER 4: RESULTS
This chapter presents the findings of this qualitative case study. The purpose of
this study was to explore how a government agency developed and sustained
organizational learning, using the Organizational Learning Systems Model (OLSM) as a
lens. To fulfill the purpose of this study, the following research question addressed is:
How did a government agency introduce and sustain organizational learning during and
after a planned change?
The findings in this chapter are organized by both time and the interchange media
dyads outlined in the OLSM: (1) new information and goal reference knowledge; (2)
structuring and goal reference knowledge; (3) structuring and new information; (4)
structuring and sensemaking; (5) goal reference knowledge and sensemaking; and, (6)
new information and sensemaking (Schwandt & Marquardt, 2000). As shown in Figure
4.1, below, this case study looked at data from three different time periods: during the
planned change initiatives, immediately following the change, and today, five years post-
change.
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Figure 4.1. Conceptual framework: How organizational learning is sustained over time
The first group of findings provide information around the initiation and
implementation of the change (Time 0). Documents such as media coverage, internal
emails, and the case for change were examined. Additionally, documents of experiential
change programs were reviewed. In general, the findings in Time 0 showed that the
change effort was centralized and closely aligned, from the head of the organization
down to sub-organizations, and individual supervisor messaging.
The second group of findings examined the time period immediately following
the completion of the change initiatives (Time 1). Organizational documents and artifacts
that were collected as part of the organizational “hot wash” were examined for this phase.
This included previous qualitative and quantitative data collection and analysis used to
evaluate the success of the change. In general, the findings in Time 1 showed the gradual
decentralization of organizational learning and change.
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The third and final group of findings illustrates the organization in the present day
(Time 2). Data collection for Time 2 included data such as interviews of change agents,
focus groups of employees, and direct observation, among others. This section also
explores the trends of the employee engagement survey, which has been distributed
annually throughout the period of this case study. In general, the findings in Time 2
show that the change effort itself is no longer part of the organization’s focus. Those
behaviors and assumptions that were once deliberately created to support the change are
now just part of the status quo. Some of the language still remains as part of the
organization’s vernacular. Otherwise, leadership is moving forward with other priorities
and even reversing some of the “lead by doing” components put in place by former
leadership. For a more detailed overview of the findings, see Table 4.11 which provides
an overview of the findings by dyad and time period.
While the breaking down of the data by time period was guided by the research
question, the analysis of data in the three time periods was guided by the case study
results outlined in Schwandt and Marquardt’s book (2000). In these case studies, the
analysis was presented as a description of interchange media, including data and
comments around roles, information, structure, values, time for reflection, and more (p.
80). Using the OLSM model as a lens, Schwandt and Marquardt (2000) described the
results in terms of six interchange patterns with each of the six dyads representing a
pattern of interaction between to interchange media. These six dyads form the
configuration of the organizational learning system and are therefore the way the data in
each time period is organized. Organizing the data in this way allows both the researcher
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and the reader to compare the organizational state in each time period to observe any
change and, ultimately, address the research question of this study.
Overview of Findings
The findings were derived from six data sources. All data was collected in a 6-
week period between April and June 2018 and all qualitative data were analyzed using a
thematic analysis method for identifying and interpreting patterns of meaning across all
the data. The six-phase recursive process outlined by Clarke and Braun (2014) was used.
See Table 4.1 for the outline of the six phases.
Table 4.1
Six-Phases of Thematic Analysis Adapted from Clarke and Braun (2014)
Phase Description of Analysis Process
One - Familiarization with the Data
This involves the researcher immersing themselves in their dataset by reading and re-reading each and every data item to learn the content of the dataset ‘inside out’. Familiarization also involves starting to identify potentially interesting features of the data relevant to the research question.
Two - Generating Initial Codes
Familiarization is followed by the process of systematically coding the data to generate initial codes. A code is a pithy label that captures something interesting about the data, and the aim is to identify potentially meaningful bits of the data, at the smallest level. Codes either summarize the surface meaning of the data, or dig deeper into the data to identify latent codes, such as assumptions underpinning the semantic content.
Three - Searching for Themes
Theme development involves looking for broader patterns of meaning across the coded data; coded data can be organized into a theme by ‘promoting’ a particularly large and complex code to a theme or clustering similar codes together. There is no one way to do this; researchers rely on their own analytic judgment about what is meaningful and important for answering the research question.
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Four - Reviewing Themes
Throughout the reviewing process, the researcher checks that each theme is coherent and substantial, with clear boundaries and a distinct central organizing concept. The researcher ends this process with a final set of themes.
Five - Defining and Naming Themes
The researcher develops and builds the analysis into its final form, with each theme (and the analysis overall) clearly addressing the research question. Ideally, the analysis must go beyond simply summarizing to tell a rich, nuanced, conceptually informed interpretative story about the meanings embedded in and beyond the surface of the data.
Six - Producing the Report
This phase provides the final opportunity for refining the analysis, such as through the integration of literature, or determining the order in which the themes are to be presented. The researcher’s goal is to tell the rich and complex story of their analysis, situated within the relevant field of scholarship, in a way that convinces the reader of the validity of their interpretations.
The first of six data sources was one-on-one interviews with the change agents for
the change being studied. There were six employees interviewed who played a change
leader and/or change agent role in the planned change. Most individuals have since
changed roles, by design or through promotion, but were still employed at the agency.
The second data source was focus groups with randomly selected employees across the
organization. There were four focus groups conducted, with a total of 65 participants.
Two of the focus groups (18 total participants) included employees who arrived at the
organization after the completion of the active change management programs (post-
2013). The other two focus groups (47 total participants) included employees who
“lived” through the change management programs since they have been with the agency
since before 2013. The third data source included a review of organizational documents.
Documents included previous studies before, during, and since the formal change
management intervention, internal communication documents regarding the change being
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studied, other materials created to support the workforce during this change, and media
coverage about the change. The non-people data, such as document review, as well as
the next data sources, were used more to validate and inform the thematic analysis of the
other data sources (Yin, 2014). The fourth data source included archival records.
Records such as the Federal Employee Viewpoint Survey for the agency, as well as
budget and human resource records were examined. The fifth data source was direct
observation and included high level observation of both the physical environment and the
way the organization interacts. The sixth and final data source was physical artifacts,
including the pervasive use of technology and the different artifacts in the shared use
spaces.
Findings - Time 0 (During the Change)
The head of a government agency of about 12,000 employees triggered the
change being studied by asking a single question: What would it take to have all
Washington DC Metro employees collocated in our headquarters building? At the time
the question was asked, about one third of the agency’s employees worked in the
Washington DC Metro area, dispersed among 7 locations. Additionally, the headquarters
building was not designed to hold more than 2,500 people.
After a significant amount of discussion and analysis, the answer had many
layers. The historic headquarters building would need to be renovated to increase the
space and convert into a more open-concept space. The concept of “hoteling” was
introduced. Hoteling is a reservation-based method for supporting unassigned seating in
an office environment. Much like at a hotel, you reserve space when you need it and
someone else has access to it when you do not have it reserved. The organization would
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need to start encouraging and enabling a mobile workforce – changing the mobile
working policy, having technology that supports mobile work, and making the default for
every employee that they were eligible for telework unless otherwise justified.
Management also recognized that in order to make the consolidation a success, it would
be necessary to eliminate almost all private offices and 90% of assigned workstations in
favor of bench seating and a hoteling concept.
The data sources below show the progression of this move from concept, through
implementation, and up to the current day, five years post-occupancy. Data sources for
Time 0 and Time 1 are all archival data, collected through document collection archival
records. Data sources for Time 2 includes both originally collected data (interviews and
focus groups), as well as archival data, such as the Employee Viewpoint Survey data.
Sources Used
Communicated Case for Change
There were two types of business case documents reviewed. The first were the
business case validation PowerPoint slide presentations that were shown and discussed
by the change agents. These documents were iteratively updated to the produce the final
business case presented to the workforce, which was the second type of business case
document reviewed. There were four themes around the type of information that was
shared in the final business case: goal-based, persona-based, regulation-based, and
quotes.
Goal-based information was designed to both inspire employees and share the
rationale and ideal future state of the change. These goals were shared in narrative form
and well as graphic form.
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Figure 4.2. Example of Goal-Based Messaging in Business Case - Narrative Form
Figure 4.3. Example of Goal-Based Messaging in Business Case - Graphic Form
Persona-based information was designed to help employees see themselves in the
change and show how each employee, and their specific working styles, would be
accommodated in the future state. The organization was asked to self-select which
persona they fit into most and this information was used to help design the new space as
well as to design the messaging and change initiatives.
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Figure 4.4. Example of Persona-Based Messaging in Business Case
Regulation-based information was designed to show the top-down leadership
support for the change. Federal employees are used to responding and adjusting to
changes filtered down from administration priorities. Showing how this change aligned
to administration priorities was a key step to achieve buy-in.
Figure 4.5. Example of Regulation-Based Messaging in Business Case
The final type of messaging was the prolific use of quotes from employees at all
levels of the organization that have been living in “the new way of working” in various
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pilot programs across the organization. These quotes tended to be organized in a way
that aligned with the goals and the proposed benefits of the change. For instance, a quote
from the administrator at the time focused specifically on the goal of leading by example:
"We can be our own proving ground, living and testing solutions. In the new
[Workplace], exploration and experimentation will be a catalyst for new business
strategies around technology, sustainability, telework, and space utilization."
As the business case discussed the benefit and intent of the change to increase
personal networks and collaboration, the Deputy Chief Information Officer was quoted as
saying, "In a more flexible, open workplace you will have more interactions and be more
productive. At all levels of the organization, the new [Workplace] provides increased
opportunities for collaboration, awareness, and knowledge sharing. "In addition,” a front
line supervisor said, “when we first moved into the building everyone was unhappy.
Now people naturally come in together on the same day and have more interactions. The
team is close, happy, and more engaged in work than when we were in separate places.”
As the business case explored how the change would support better customer
service, a division director responsible for customer delivery said, “Previously, time was
wasted to see the customer; it was a restrained way of working. You actually saw less of
the customer. Now with mobile working, we can see a customer, touchdown, and see
another customer. All our agencies and customers are supposed to be seeing people!”
Emails and Other Internal Communications
Over the course of the almost two-year change process, there were hundreds of
email and other communications that occurred at every level of the organization. In
addition to emails, blog posts and internal briefings were the next most common forms of
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communication. Regardless of communication channel, the internal communications had
five main themes: describing the nature of change, amplifying various feedback
mechanisms, emphasizing the importance of our customers, providing support for
employees, and describing logistics and requesting action. Figure 4.6 below shows the
words most frequently found in the various internal communications. Note that the
communications reviewed were sorted by various key words to only include emails
related to the change being studied; this was not an analysis of every email distributed by
the organization during the past five years.
Figure 4.6.Words Most Frequently Found in Internal Communications during Change
Describing the nature of change was the largest theme. These communications
seemed to create an agency-specific language that was repeated over and over. The
change itself was called the "new way of working" the "transformation" and the "extreme
challenge". The tag line about telework and workplace flexibility was "work is what you
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do, not where you are" - that language, if not the exact phrase, was pervasive in the
internal and external communications
The second purpose, or theme, of internal communications was amplifying the
various feedback mechanisms available to employees. There were surveys, focus groups,
town halls, all kinds of ways for employees to ask questions and provide feedback; not
just a top down communication framework. The feedback of the employee was actively
sought out and incorporating that feedback was factored into the project plan at all stages.
The third theme was an emphasis on the importance of the customer. Operational
units at every level of the organization were concerned that this change was going to
impact service to our customers, at least temporarily. Language commonly referred to
how the change would increase service to the customer, not the opposite. This was the
only organizational value that was consistent in the current and future state and was
highlighted as important above all else.
The fourth theme of internal communications was to provide employee support.
These emails and other communications provided tools, job aids, trainings, and more.
These communications were designed to support employees with the tactical and more
strategic changes that needed to occur for transformation success; the focus here was to
help employees with behavior change and learning.
The final theme was very directive and logistical in nature. These
communications were most likely to be email only, instead of more customized or high-
touch messaging. These emails included communication of logistics and requesting
specific actions (empty your file drawers by x date), informing of deadlines (the facilities
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team will be collecting the burn bins on x date), and move dates (your group will be
moving on Friday, [date]. We suggest you plan to work remotely on that Friday).
The other data point of note in the communications was the recognition that
emails from an employee’s immediate supervisor were most likely to be opened and read.
For that reason, there were a lot of emails to leadership that included the direction, and
draft email language, for them to cut and paste that language and send a message to their
direct reports. This ensured consistent messaging but also allowed for supervisors to
customize the message to what they know would resonate with their team.
Media Coverage
There was a fair amount of media coverage on different aspects of the
transformational change at the time of the change. Workspace and design media focused
on the agency leading the way in the federal space. It was from these publications that
the administrator’s tag line - "Work is what you do, not where you are"- was picked up
and repeatedly used. The change these outlets focused on was the move from traditional
office space to more open, collaborative, shared office space.
Federal technology media outlets also covered the change. However, the
emphasis in these outlets was focused on the technological change of moving the
government towards cloud technology and enabling mobile work. This change had been
traditionally dismissed for government agencies because of the security concerns, so this
change was of significant interest in the federal technology space.
Because this transformational change was occurring in the Federal government,
there were specific Presidential Mandates that encouraged this change, and the change
was happening in Washington DC, local papers like the Washington Post also covered
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the change in the politics section, mostly focused on expanding telework in the federal
government and going paperless, which were directly related to specific Executive Orders
and other regulations put into place by the presidential administration at the time.
Experiential Change Program
The Agency being studied consists of two operational services, led by
Commissioners, and several overhead functions, led by Assistant Administrators. While
this change was going to impact all functions within the Washington DC Metro area, one
of the service Commissioners was concerned that this level of change within such a short
time frame (18 months) would impact the bottom line as employees and supervisors
struggled with the change and lost sight of their customers and business objectives. In
order to mitigate this risk, the service Commissioner created a Program Management
Office (PMO) to manage the change for their people.
Each transformation initiative and program aligned with a “Transformation
Adoption Curve” — Getting Ready, Getting Going, Getting Confident, and Getting
Expert — a tool developed by the Transformation PMO that helped employees
understand the transformation and the resources available to support them as they
embraced the new way of working.
One specific transformation effort within the Workforce Agility Track, the WAVE
initiative, provided a unique opportunity for employees to prepare for the
transformation’s impact on the workforce. This effort helped employees move along a
key Adoption Curve theme: “adapting to changes in space, technology, and
relationships.”
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The WAVE, a ten-week experiential learning program, was designed to help
employees transition away from a traditional, location-based work structure to a more
results-based style of working by simulating a distributed environment similar to that
eventually became the norm across the organization.
The WAVE: The WAVE typically ran about ten weeks per organization. Much of
the process involved equipping employees with the knowledge, tools, and resources to be
successful during the four weeks in which they vacated their workstations and continued
beyond this period. The PMO Agility Track established a number of pre, during, and
post-WAVE milestones to facilitate employees’ progress towards Getting Ready, Getting
Going, Getting Confident, and Getting Expert. Metaphors related to surfing actual ocean
waves were used to brand the change program.
Wax the Board (Getting Ready): This phase was typically two weeks in
duration. During this stage, staff, project managers, and coordinators provided tracking
tools and instructions that documented their business processes in order to determine how
much paper they generated and handled and to what extent their current operations
required a physical office presence. Teams also documented their spontaneous and
planned social interactions to become aware of how much they relied on face-to-face
communications. Employees also documented their level of proficiency using mobility
tools (e.g., Google, smart phones, VoIP, WebEx, etc.). Technical training was provided
as needed. Organizers and facilitators prepared to host Surf’s Up for the organization’s
teams.
Surf’s Up: The bulk of pre-WAVE activities centered on Surf’s Up, a half-day
facilitated event designed to equip teams with the plan, tools, support and guidance for
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successfully surfing the WAVE. The Surf’s Up event played a key role in helping to
prepare employees for the WAVE and building their overall engagement and commitment
to the initiative. The staff made sure to incorporate the following:
Key messaging from organizational leadership
An open forum for dialogue
Engaging activities and discussion topics
Although the length of a typical Surf’s Up event was approximately four hours, it
varied depending on the specific needs of the organization. The format consisted of a
session in which the group at large reviews the overall objectives of the WAVE and the
transformation. The group discussion was followed by breakout sessions in which work
teams defined their team norms and developed specific strategies and action plans for
operating in a distributed work environment. These action plans centered on the
following topics:
Updating processes to minimize paper documents
Maintaining and growing relationships
Managing distributed work teams
Demonstrating and documenting productivity
Action items were captured as they were identified so that team members could
actively track against them. Following the team breakout sessions, groups resumed the
plenary session where they reported out their action items and facilitators provided
feedback and insight into effective implementation of these items.
Paddle Out: Organizations used the period of time between the Surf’s Up event
and their multi-week Surf the WAVE activity (typically 2-3 weeks) to track teams’
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progress against action items established during their Surf’s Up event. Some teams held
“Paddle Out” parties to celebrate the launch of their Surfing of the WAVE, and decorated
their assigned workstations to advise drop-by visitors that they will not be found at their
assigned workstations while they were Surfing, and instructions on how to reach them.
These decorations included colorful posters, barricades, traffic cones, crime-scene tape,
and more. From a logistical standpoint, this was the phase in which the first survey was
administered (See ANOVA and t-test results, itemized below).
Surf the WAVE (Getting Going): During this stage, teams vacated their assigned
workstations for 4 weeks. They explored flexible work modes by working from diverse
locations such as hoteling stations, conference rooms, other office buildings, home,
customer sites, or any other alternative work site that supported business needs. In fact,
the only place that employees did not work was at their regular, assigned workstations.
“Surfers” documented any issues or lost productivity they experienced in a document that
was monitored by staff who could address issues in real time as needed.
Reach the Beach (Getting Confident/Expert): Post-Surf the WAVE activities
focused on identifying and communicating lessons learned and developing a strategy for
sustaining the agile practices and behaviors adopted throughout the WAVE. Activities to
support this goal included:
Debrief sessions with managers and employees
Post-Surf the WAVE surveys
Lessons learned reports to share with other organizations
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Sustainability activities such as engaging in additional performance and
technology training, reconfiguring space, properly archiving and disposing of
paper files, and further implementation of flexible work modes.
Summary of Time 0
While the change itself did not use the OLSM as the framework to implement the
change, the data captured for the purposes of this study was aligned to the six dyads of
the interchange media. As shown in Table 4.2, the data collected for Time 0 easily
aligned to the organizational learning subsystems of the OLSM - environmental interface,
action/ reflection, memory/ meaning, and dissemination/ diffusion - and they were all
managed centrally in a deliberate way. While the centralization of these efforts were key,
there were other key components of the organizational learning during Time 0 that
enabled the sustainability of the organizational learning moving forward. The strong
collaborative nature of the centralized PMO and the active solicitation of feedback, as
well as the willingness to adjust plans to accommodate that feedback, were all
components found in Time 0 that set sustainability of action learning up for success in
Time 1. Additionally, the stratified effort - representatives on the centralized change
team had the option of running their own change teams within their smaller
organizational groups - allowed some of the larger sub-organizational units to amplify the
centralized efforts; for example, creating an experiential change program for the
employees to practice the new behaviors.
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Table 4.2
Overview of Findings for Time 0
Dyad Time 0 - During the Change (2011-2013)
One - New information and goal reference knowledge
The impetus for the entire change was the head of the agency asking a powerful reflection question: “What would happen if we all moved into the headquarters building?”; leadership encouraged and modelled the idea of trying out new things, practicing, and failing fast; case studies of other organizations (in government and private industry) were used as examples and embedded in the business case; every routine is questioned and disrupted as needed to move towards the “new way of working”
Two - Structuring and goal reference knowledge
Once the decision was made to move forward, there was a program management office put into place that was responsible for managing the messaging and coordinating all of the parts of the organization; communication between the various layers of the organization was deliberately managed through message maps, change networks, and trickle down messaging; structures were flexible and subject to change based on feedback
Three - Structuring and new information
Best practices from external sources were used in “design labs” to see what would work within this agency - lessons learned from practice space informed the final design; even the business case was validated in a coordinated way at all levels of the organization - and then adjusted based on the feedback; the ability and encouragement for employees to practice and provide feedback was pervasive throughout all components of the change
Four - Structuring and sensemaking
Shared values, such as the need to be customer-centric, were pervasive in the change; tag lines that reinforced both the change and the shared values became part of the language in the agency: “new way of working”, “fail fast, fail forward”, “work is what you do, not where you are”; there were safe spaces and specific channels for employees to share their reservations and concerns about the change; change leaders “leaned in” to the resistance and encouraged employees to practice, learn, and adjust - and they were willing to adjust the plan as needed
Five - Goal reference knowledge and sensemaking
The reflection question that instigated the change, as well as subsequent reflection questions to further the change, were all designed to disrupt, or at least challenge, the status quo; the disruption was in several different areas - from paper-based filing, to mobile working, to increased use of technology, to space entitlement; several communication channels - from town halls to change networks to blog posts, videos, and emails - were all in support of helping the employee understand and relate to the future state
Six - New information and sensemaking
Basic assumptions are in complete alignment with the desired end state; information coming into the organization is fairly transparent - the filtering seems to happen in real time and with employee input once the information is brought into the organization; agency goals and desired end state were developed iteratively and there was a significant amount of effort put into making the messaging clear, concise, and relevant to the larger workforce
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Findings - Time 1 (Immediately Following the Change)
In Time 1, immediately following the change, the reader will notice a shift from
tight centralization. Instead of tights and deliberate centralization, the tasks of building
the new routines and helping employees adjust to institutionalize the change falls to the
frontline and middle managers, and the employees themselves. This shift is summarized
in Table 4.4. The data presented in Time 1 shows the centralized efforts to share best
practices, especially since the change was done in phases. However, once the changes
were complete, the centralized effort moved on to help other agencies recreate the
success and the employee support was decentralized down. The tenant satisfaction
surveys show how employees were still figuring out how to best operate in shared open
spaces, adjusting to the lack of temperature and lighting controls, as well as the noise and
distractions.
Sources Used
Post-Move Data Collection
About one year following the change, the Office of Customer Experience Focus
Groups were conducted, based on the results of the Pulse Survey, in order to understand
how people were reacting to the changes in the building and how to understand what
further improvements could be made. They identified five high-level findings (see
Figure 4.7) and made recommendations for changes on the above design principles. The
recommendations fit into five categories: physical, process, communication, culture, and
technology (see Figure 4.8).
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Figure 4.7 Five Findings from Post-Change Focus Groups
Figure 4.8 Recommendations Made by Office of Customer Experience
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In addition to the Office of Customer Experience Focus Groups to find
improvements to be made moving forward, other Change Champion Network Focus
Groups were conducted to identify the move experience and to capture best practices for
others who might do a similar change in the future. In these forums, the experiential
change programs were regularly brought up as a best practice. A typical comment from
an employee who did not have the opportunity to participate was, “I wish I had had the
opportunity to practice more before [the transition]. There’s a pretty big learning curve
and I know my productivity is not where it was.” In contrast, a typical comment from an
employee who did have the opportunity to participate was, “This [transition] would not
have gone as smoothly if it weren’t for the WAVE.”
Figure 4.9 shows the top words used when employees were asked to describe the
most successful parts of the change. By putting all of the focus group transcripts into a
word cloud generator and removing all of the small connector words (like at, and, the,
etc.), the word cloud was generated. While the colors are irrelevant, the bigger the word,
the more prevalent the word throughout the focus groups. The word “practice” relates to
the experiential change program and the work “Bookit” relates to the new IT tool that
needed to be learned to be successful in the new environment. “Crates” and “move” were
both related to the actual physical movement of office stuff from one location to another.
The word “teams” was typically used to describe the comradery as specific office teams
moved together and supported each other.
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Figure 4.9 Employees’ description of successful parts of the change
Document Reviews of Previous Studies
While this study was a historical case study, part of the organizational change
documents available for review were quantitative studies that explored supervisor support
and employee readiness throughout the change. Since this quantitative data was collected
during Time 1 and is useful in understanding the organizational learning and “state of
mind” during Time 1, this data is included here. This data was used to validate the
qualitative findings for Time 1, summarized in Table 4.4. While the case study
methodology of this study is purely qualitative, the following quantitative findings
provide an interesting component to the context of the change that is important to
include. Note that the statistics and quantitative analysis results were analyzed, no
quantitative analysis was done separately for the purposes of this study. Through the
previous quantitative analysis described below, it was found that employees who
participated in the WAVE program (described in Time 0, above) felt less prepared than
those who did not participated. However, they were more proficient in the tools and
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behaviors needed for success post-change and had a perception of a smoother move than
those who did not participate in the WAVE program. The conclusion of this analysis was
that the additional awareness provided by the change program gave them a perception of
being less prepared, since the group that did not participate did not know what they were
going to be experiencing soon, thereby overestimating their preparedness. For the
purpose of this study, this review of quantitative analysis both validates the importance
and impact of the WAVE program in Time 0. Additionally, this quantitative analysis,
when combined with the other qualitative data gathering immediately following the
change, validates the perception of the employees immediately post-move, as well as
their skill level and self-efficacy with some of the behaviors needed for long term success
in the new environment.
ANOVA Analysis of Employee Readiness and Supervisory Support. Data
was collected through an anonymous survey to all employees who participated in the
experiential change program. For this quantitative analysis, three survey questions were
averaged to obtain an “employee readiness” score; a score for supervisory support was
also used. The quantitative analysis, shown below, was completed immediately post-
move, and was peer-reviewed and selected to be presented at an Academy of Human
Resource Development conference (Barnes, 2013).
There was no significant effect of experiential change programs on employee
readiness F (1, 330) = .010, p = .922. There was no significant effect of supervisor
support on employee readiness F (1, 330) = 1.124, p = .290.
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Independent t-test Design - Employee Readiness. Data was collected through
an anonymous survey to all employees who were impacted by the change, regardless of
whether they had the opportunity to participate in an experiential change program or not.
For this analysis, one question was examined: “I am fully prepared for the transition.”
The analysis, shown below, was completed immediately post-move and presented at an
Academy of Human Resource Development conference (Barnes, 2013).
On average, participants whose organizations had the opportunity to participate in
an experiential change program (M = 2.9, SE = .041) felt less prepared than those who
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did not have the opportunity to participate (M = 3.15, SE = .034). This difference was
significant t (960) = -4.638, p<.001. However, the effect size was relatively low at r =
.148.
Additional Analysis of Quantitative Data. Based on the results above, Barnes
(2013) returned to the data collected and examined additional quantitative data to look for
context that might explain the results received.
Note that the frequency with which the various collaborative tools were used were
higher for those who had participated in the experiential change program (M = 3.60, SE =
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.022) compared to those who had not (M = 3.52, SE = .021). This difference was
significant t (960) = 2.540, p=.011. However, the effect size was relatively low at r =
.082.
Additionally, those who did not have the opportunity to participate in an
experiential change program (M = .43, SE = .022) requested more support than those who
did participate in an experiential change program (M = .29, SE = .022). This difference
was significant t (960) = -4.421, p < .001. The effect size was again relatively low at r =
.142.
This quantitative study confirmed the qualitative findings that those who had the
opportunity to participate in the experiential change program were more prepared for the
change and required less support because the self-efficacy gained through practice
empowered them to figure out any issues they came across.
“Pay It Forward” Lessons Learned
As the physical relocation was conducted in phases, each group of employees was
able to share their lessons learned from their moves to have an immediate benefit on the
group of employees moving next. Figure 4.10, illustrated on the following page,
provides a high-level summary of the top lessons learned shared by organizational groups
to help other groups who were scheduled for future moves. This chart was updated as
each group completed their move and added other lessons learned. Figure 4.10 is the final
iteration of the chart, finalized after the last group completed their move. This type of
centralized reflection was the key to continued success of the change, and was one of the
areas of change management that remained centralized longer than others.
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Figure 4.10. Pay It Forward: Lessons Learned and Shared During Phased Moves
Building Statistics
The facilities organization within the agency kept a “cheat sheet” of various
information about the building that provided some insight into the change that was posted
and information that was available to everyone. This information is outlined in the Table
4.3, below. This data was important for a few reasons. First, the consolidation and
sharing of this cheat sheet was another indication that the ability to share consistent
information was deemed important and given the attention it needed to be implemented.
Second, some of the data contained within this cheat sheet was important to
provide context around the scope of the change. The number of employees
accommodated by the building increased by more than 32% through this change. Usable
square footage per person was decreased by about a third. Only 17% of the employees in
the building had assigned seats; everyone else “booked” their seats each day that they
came into the office, thereby not taking up space when they were not in the building, or
spend the whole day in meetings. The financial business case for the change under
savings is as follows: $31.4M is saved annually in reduced rental and operation costs.
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The impact of the change to the workforce is also provided here. Before the change, only
14% of the workforce was able to continue working during a snow storm. This cost the
agency $1.5M in Administrative leave and unknown costs in lost productivity. However,
post-change, when OPM closed Federal agencies due to snow, 82% of employees were
able to report to work, and the agency only paid out $135k in Administrative leave. This
one statistic shows a real-life impact of the change. Finally, the sustainability facts are
interesting additional impact figures. While not completely relevant to this study, it does
align back with the initial goals of the change (zero environmental footprint) and shows
yet another example of how messaging was tightly aligned.
Table 4.3
Building Information
Category Information
Background Information
Building construction completed - 1917 Last major renovation - 1933, includes the addition of office space
on the 7th floor
Recent Move Timeline
Phase 1 Renovation and refresh completed - October 2013 Moves began in May 2013 and took place every weekend until
November 16th, 2013
Occupancy Change
Previous tenant headcount - approximately 2,500 Approximate headcount as of October 2016 - 3321 Building designed for approximately 4400 tenants
Post-Move Statistics
Space Allocation (projected for October 2016) = 3321 headcount / 454,404 usf = 136 usf / person
Space Allocation prior to transformation - 205 usf / person There are approximately 2,300 individual workstation seats in the
building, and about 4,400 seats total including conference and collaborative seating
There are approximately 400 assigned seats in the building, called “long term reservations” (roughly 17% of the overall seats)
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Construction Costs
Construction costs for the project (in gross square footage (all interior space contained in the exterior walls including vertical penetrations (e.g. stairwells, elevator shafts):
Phase 1 (added 50,000 usf to the overall building): $161M / 435,524 GSF = $370 per GSF
Refresh: $8M / 354,922 GSF = $22.54 per GSF Rough IT Costs = $8.85M = $11.20 / GSF; wireless and IPTV set
up = $4.11M = $5.19 / GSF
Other Costs
Furniture procurement - $10.34M / 454,404 usf = $23.07 per usf Per workstation cost = approximately $1100 per benching station IT configuration per workstation (22” monitor, keyboard, mouse,
port replicator) = $363.50
Savings Rental savings - $24.4 million annually Reduced leased SF is approx. 457,311 RSF Operation costs savings - approx. $7 million annually
Change in Telework
Every employee has a telework agreement. In 2010, when OPM announced a city-wide closure of federal
buildings, 14% of employees in the DC area were able to report for work
Agency issued $1.5 million in Administrative Leave On March 17, 2014, during another OPM announced closure -
82% of employees were able to report to work Agency issued only $135k in Administrative Leave
Sustainability
Energy down 2/3 from Baseline 100% Daylighting in Working Space LED in Hallways, Stairwells & Outside 100% Rainwater Capture into new Cisterns Solar Direct to Computer Servers (DC to DC; No Inverter) 100% Solar Hot Water Green roof to reduce heat load Energy - solar panels produce 700,000 KwH / year
Tenant Surveys - One and Two Years Post-Occupancy
In 2014, the organization conducted the first tenant satisfaction survey post-
occupancy. Figure 4.11 shows the key satisfaction findings from that first survey. In
2015, a second tenant satisfaction survey was conducted. Figure 4.12 shows the high-
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level findings from that survey. It is noteworthy by looking at the findings from the
initial tenant survey that the areas of struggle include individual and group work
effectiveness, and interaction and communication. The key findings from the second
tenant survey, while not comparable in terms of numeric values, shows that satisfaction
increased over the one year time period, suggesting that employees are getting more
accustomed to the new work environment. However, the interaction issues - disturbing
others while collaborating or the ability to hold a private conversation - are still areas of
concern for employees.
Figure 4.11 Key Findings - Tenant Survey One Year Post-Occupancy
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Figure 4.12 Overall findings - Tenant Survey Two Years Post-Occupancy
Summary of Time 1
Time 1 was the transition between the active change (Time 0) and the “new”
status quo (Time 2). Similar to Time 0, Table 4.4 summarizes the state of the
organizational learning immediately following the change by using OLSM as the
perspective and the respective dyads as the lens through which the change was analyzed.
Some subsystems, like Action/Reflection were still deliberately centralized. However,
others, like Meaning/Memory, were becoming more decentralized. The strong
collaboration and transparency observed in Time 0 was important in ensuring that the
transition to a more decentralized model, beginning in Time 1, did not disrupt the
organizational learning, thus possibly setting employees up for failure.
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Table 4.4
Overview of Findings for Time 1
Dyad Time 1 - Immediately Following the Change (2014-2015)
One - New information and goal reference knowledge
Reflection is still strong immediately following the change; “hot washes”, post-move surveys and focus groups, and other reflective exercises were completed; this reflection had two goals - ensure continuous improvement and help other agencies follow in the agency’s footsteps; reflection and feedback are still being actively encouraged and sought out as feedback
Two - Structuring and goal reference knowledge
Even with a change in top leadership before the change was completed, the new administrator doubled down on the vision and moved out into the open with his other top leadership and converted the historic office into conference space; deliberate communication slowed down significantly; norms were communicated via various print collateral on desktops, in shared or common spaces, and in conference rooms - how to use the technology and rules of engagement, for example; exceptions were beginning to be requested, especially by senior leadership as they tried to make the new way of working work for them; some adjustments were made - for example, most organizations ended up choosing at least one day where everyone would come into the office so face-to-face meetings were more doable
Three - Structuring and new information
There was a shift post-change where the agency stopped seeking outside case studies and started using this change as the case study for other customer agencies; “selling” the change process to other agencies was the purview of one subset of the organization; change networks and other structures were dissolved as the initial reflection post-change died down; people were individually responsible for reinforcing and continuing to adapt to the change
Four - Structuring and sensemaking
Senior leadership visibly supported the space reduction and transparency components of the change, such as sitting out in the open in small benching stations that were the same size everyone else had access to; exceptions to the rule for senior leaders in terms of permanent versus shared space became more prominent after the deliberate change efforts stopped; employees at all levels were making sense of what the new routine looked like in the new current state
Five - Goal reference knowledge and sensemaking
While there is still centralized reflection in terms of formal evaluations, the way supervisors and all levels of the organization were engaged in sharing the same messages and encouraging the same behaviors has stopped; leaders in each organization are responsible for individually helping employees reach or exceed former productivity levels and embed the new norms into the organization; employees are taking some ownership of this sensemaking themselves
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Six - New information and sensemaking
A large part of the agency’s mission is to deal with external organizations; because of the media attention and the agency’s marketing of the change to its customer agencies, employees found themselves fielding questions about how things are working; this “teaching” of others at a one-on-one level seemed to act as a reinforcement to the benefits of the change; external information from other agencies provided perspective the alternatives
Findings - Time 2 (Current-State - Five Years Post-Move)
In Time 2, the reader can see the long-term impact of the change. The
Engagement scores for select questions have, for the most part, increased year over year.
The interviews with the change agents and the focus groups with employees tell the story
of how employees see the organization as it is today and how they interpret the evolution
from Time 0 to today. At the end of this section, Table 4.10 summarizes the state of
organizational learning today (Time 2), and Table 4.11 provides an overview of the
findings at all three time periods, making the evolution of the organizational learning
within each time period clear.
One of the most interesting examples of how the strong centralization in Time 0
has survived over time and become part of the new status quo is the use of language.
There was very deliberate and aligned messaging in Time 0 and those words are still
being used to describe the change, even more than five years later - both by employees
who lived through the change and those who arrived to the organization after the change,
showing that the language is being transferred to new employees as they come onboard.
Sources Used
Engagement Surveys
The Federal Employee Viewpoint Survey (EVS) which is administered annually
by the OPM is one source of information that the agency uses to gauge the workforce
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perceptions related to the work environment. Additionally, the agency administers an
additional survey to gather a mid-year pulse of the workforce related to the focus areas
within the National Engagement Strategy. These mid-year pulse surveys are less-
regularly conducted, but do provide some information. EVS surveys from 2014 through
2017 were reviewed, as well as two pulse surveys from 2015 and 2016. Since the
historical EVS surveys are all several pages long, Table 4.5, below, shows select
questions, relevant to this case study, compared across all surveys.
Table 4.5
Employee Engagement Survey - Percent of Positive Responses (Agree/ Strongly Agree)
Question Theme 2014 2015 2016 2017
02 - Enough information to do job well
Access to Information
69.3% 71.2% 74.0% 76.0%
03 - Come up with new & better ways
Empowerment and Innovation
61.6% 62.7% 67.0% 71.0%
06 - Know what is expected
Understanding Expectations
77.9% 77.6% 80.0% 83.0%
08 - Looking for ways to do job better
Empowerment and Innovation
90.5% 90.5% 91.0% 92.0%
09 - Resources to get job done
Resources 50.9% 52.6% 56.0% 59.0%
14 - Physical conditions allow to perform job well
Resources 69.7% 70.6% 71.0% 73.0%
20 - People cooperate to get the job done
Working Together 78.3% 79.4% 81.0% 83.0%
26 - Employees share job knowledge
Working Together 78.6% 79.7% 81.0% 84.0%
27 - Skill level has improved in the past year
Quality Work 57.3% 59.8% 62.0% 68.0%
28 - Rate overall quality of work done
Quality Work 86.0% 86.8% 88.0% 90.0%
29 - Workforce has job-relevant knowledge and skills
Quality Work 69.1% 69.3% 71.0% 77.0%
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30 - Personal empowerment with work processes
Empowerment and Innovation
47.1% 48.1% 53.0% 59.0%
32 - Creativity & innovation are rewarded
Empowerment and Innovation
41.1% 43.0% 49.0% 54.0%
40 - Recommend my organization as a good place to work
Overall Satisfaction 67.1% 68.0% 72.0% 78.0%
41 - Survey results used to make agency results a better place to work
Listened to by Leadership
45.2% 45.9% 51.0% 57.0%
42 - Supports need to balance work and other life issues
Work Life Balance 84.9% 85.6% 87.0% 89.0%
48 - Listens to what I have to say
Listened to by Leadership
80.8% 81.6% 84.0% 85.0%
49 - Treats me with respect
Listened to by Leadership
84.9% 85.4% 87.0% 89.0%
58 - Promote communication among different work units
Working Together 60.6% 59.1% 63.0% 70.0%
59 - Support collaboration to accomplish work objectives
Working Together 63.9% 62.7% 66.0% 72.0%
62 - Senior leaders demonstrate support for Work/Life programs
Work Life Balance 65.5% 67.4% 71.0% 75.0%
63 - Satisfied with involvement with decisions that affect work
Listened to by Leadership
53.7% 55.1% 60.0% 65.0%
64 - Satisfied with information received on what's going on
Access to Information
52.6% 55.1% 61.0% 66.0%
69 - Satisfied with my job Overall Satisfaction 67.7% 68.8% 73.0% 76.0%
71 - Satisfied with your organization
Overall Satisfaction 60.2% 61.3% 67.0% 72.0%
In addition to the table of selected questions from the historical EVS, the two
charts below show the trends in a visual depiction, both by question and by theme. The
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2014 scores were lower across the board from previous years; 2014 was the first EVS
survey post-change. However, by looking at Figures 4.13 and 4.14, the overall upward
trend from 2014 to 2017 is clear. The engagement score of this federal agency tends to be
several points higher than the federal government overall. This agency regularly scores
in the “best places to work” as defined by the Partnership for Public Service. The impact
of the change on the 2014 engagement scores is clear; and the upward trend back to a
highly engaged workforce is also clear.
Figure 4.13 Annual Trends of EVS Questions - 2014 to 2017
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Figure 4.14 Annual Trends of EVS Themes - 2014 to 2017
Change Agent Interviews
Change agent interviews covered a lot of the same information as this study’s
focus groups, but interviewed people who were responsible for implementing the change,
either for the entire organization as a whole or a part of the organization. Figure 4.15
shows the demographics of this group. All change agents had been at the organization
for more than 6 years, meaning that they were well versed in the organization prior to the
change. Additionally, over half of them are still in roles that continue to reinforce the
“new way of working”. Nobody is in their same position because over the years the
agency has reorganized, and personnel have either moved on or been promoted.
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Figure 4.15 Change Agent Demographics
The information received in the change agent interviews was more detailed than
the information from the employee focus groups. The change agents were able to
respond with more confidence, presumably because of the increased level of context and
big picture view of the change. However, there were no themes that emerged from the
interviews that were not also present in this study’s focus groups. Interestingly enough,
even the comments that brought out the theme of an increasing divide between leadership
and the employees was found as a theme in both the study’s focus groups and change
agent interviews. So, the most significant value of the interviews from the change agent
was not, as expected, the unique perspectives and insights that were different from the
front line employees. Instead, it was the ability of the detailed responses during one-on-
one interviews to validate the themes at each time period. This type of cross-checking
and validation of the themes created provided both the researcher and the reader with
more confidence in the findings. Below is Table 4.6 that highlights some of the questions
6‐10years
11+years
YES
NO
0
1
2
3
4
5
6
7
YearsatGSA stillinarolethatactivelyreinforcesthe"newwayofworking"
ChangeAgentDemographics
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asked, and key quotes from the change interviews. The quotes listed either align to one
of the themes that are emerging, or provided additional context and information from the
data collected in the study’s focus groups.
Table 4.6
Summary of Change Agent Interviews
Interview Question
Representative Quotes Attributable to Emergent Themes
From your perspective, what are some of the changes that have since become "just the way we do things"?
"Managing ‘stuff’ was a huge concern prior to our move. Employees self-promoted their interests, hobbies, and values through their cubicle decorations. Filing cabinets dominated the hallways. You could tell a lot about a person's career path and job series, just by the textbooks and reading materials displayed in their space. It was amazing how many people were wound up over the stuff and how they would ever cope without it. Today, you rarely see paper - we use document sharing and cloud technology to share ideas and draft documents. Some people have a few small artifacts that they carry with them and display on their temporary (daily) work space. And introductions are far more important than the shelves of books. What seemed a significant hurdle was actually pretty seamless; but we just had to make the jump”
“[A] key issue was the loss of personal space - a seemingly big deal in the beginning that is no big deal now. Everywhere you go, you see employees camped out and holding impromptu conversations. Most people are thrilled to work ‘from anywhere’ and that plays out - the [common area with the best view] is crowded on a blue-sky day; kitchen areas and the high-top tables are a great place for collaboration; the comfy sofas and chairs throughout the building provide great privacy for calls"
“Using collaborative tech tools to stay connected or meet” “Having to check into conference rooms booked to avoid getting bumped from
the reservation” “Having shared supplies and no personal printers” “Mobile work is more the norm than the exception”
What changes were initiated during the change to the new way of working that didn't stand the test of time?
“Blended or communal working with other groups” “There were initially rules about food in the work space. Many voiced opinions
about the need to eat or store food in the kitchen areas only. But once the pace of the day kicks in, you see people eating power bars in the hallway or taking quick bites of salads between meetings. In the fast-paced environment we work in, such rigid rules just got overruled very early on”
“No assigned seats! Plenty of organizations have permanently assigned seats to execs and senior staff”
“I no longer work in [the building] but I understand that the requirement to reserve your desk through Book-it is not consistently utilized”
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Where do you think THE AGENCY is today versus immediately following the move regarding its awareness and responsiveness to the external environment?
“I believe we are always growing to learn and to adapt/accommodate new ways moving forward”
“I think we are incredibly more responsive to and respectful of our customer's environments...most people recognize that our environment is not the same as our customers, so it forces the conversation. ‘Tell me about the work that you do, how you do it, and what gets in the way’"
“The environment has encouraged greater agility and resourcefulness across the entire workforce that translates into the agency's ability to better respond to customer needs and shifting priorities”
“I think we have adapted how things work based on employee feedback yet still have overall stuck with the major plan of consolidation-by-sharing”
“I think we have probably gone backward, the current Administration does not seem to have the same interest / desire to promote the 'new ways of working' so people have returned to what is comfortable, keeping the new elements they liked and letting the more uncomfortable/challenging ones fall away. I think we have returned to being merely order takers for our client agencies rather than change agents to promote the new ways of working and bring other agencies along”
Do you think the change to the new way of working and the move had either a direct or indirect impact on this change? How so?
“Both -- working remotely requires much more flexibility and understanding” “The move had a direct impact on this. It forced a creativity and agility that
some people were lacking. Today, that agility is just part of our DNA” “Yes I do think the move to our new space/environment has impacted THE
AGENCY's ability to be more innovative or to be more entrepreneurial” “It was certainly easier to make the changes desired by making a physical
change in the space we work in, whether it was moving from one part of the building into a recently renovated space or from an different building entirely”
“I see the change as more related to changes in leadership and Administration priorities than as a result of THE AGENCY's move to a new way of working”
Where do you think THE AGENCY is today versus immediately following the change regarding its action and reflection on goals, learning, and innovation?
“I see a great deal of innovation and focus on goals. Employees are more engaged and involved in other parts of the organization, which is new since our move”
“I do think that since the change, THE AGENCY has moved to sell services to customer agencies that we've adopted and implemented into our everyday way of doing business... Reduced space, more collaborative seating, cloud computing, etc.”
“I think, as time goes on, we are constantly improving the way we work collaboratively by using technology and new ideas that have cropped up through our sharing”
“I think the agency is singularly focused on cost-savings at the expense of everything else, often innovation costs money and there is no appetite for that”
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Where do you think THE AGENCY is today versus immediately following the change regarding its dissemination and integration of roles, communications, leadership, and development?
“I believe we are the same in some ways still adapting/accommodating new ways of successfully moving forward”
“The need for clear communication and roles/responsibilities understanding is more palpable than ever. Unfortunately, I don't think that leadership has recognized that need or has responded to it”
“Since this change, I'd say THE AGENCY needs to be even more vigilant with communicating electronically to all employees because obtaining information in the office has become more difficult in our more dispersed, virtual work environment. The result is email/communication overload which has had a decreasing impact on getting a message across since employees are inundated through this medium”
“I think the information gets out there, but it goes out in so many different venues (e-mail, website, chatter, Google drive) that it's hard to keep up sometimes”
“I think we have gone backward; we currently lack visionary leadership and any appetite for risk taking or innovation. Directives and initiatives are top down and often do not involve staff in planning and decision making; employees are left to implement orders rather than lead with their expertise”
“I see the leadership as behaving largely the same way as before. Many of our leaders have assigned space and come in to that space 4 or 5 days out of the week. For them, other than the office walls, not much has changed so they haven't changed. Yet, for most employees, we move around the building several times a day and are rarely in the same spot. We rely on electronic communications to keep abreast of changes and keep our managers up-to-date. We are more comfortable with phone conversations, drive-by updates, or meetings via Adobe Connect or Google Hang-outs. But our leadership is stuck in the old ways of working. And that difference is creating a rift”
Where do you think THE AGENCY is today versus immediately following the change regarding its culture of development and innovation?
“Trust is growing among employees and deteriorating with leadership. Most employees are dedicated to the customer and demonstrating improvements both to themselves and the customer, with or without the support from leadership. And because of how we move around the space, you see new friendships and alliance on a regular basis. People introduce themselves and catch up as they trade out of conference space. It is really amazing, professional, and very family-like”
“I do think the organization puts less value on developing individuals than it did prior to the change, but not sure if the change impacted that difference or not. I do think the change has increased attention on raising the bar, encouraging new ideas & innovation, and allowing for mistakes in some parts of the agency but not all. I feel in some staff offices, the failure to embrace this new environment has caused leadership to draw inward and become less open to ideas and innovation due to the loss of a more traditional environment and definitely a greater lack of trust and empowerment”
“I think the leadership is trying, but with some employees, it's just never enough for them”
“Again, I think we have gone backward; we currently lack visionary leadership and any appetite for risk taking or innovation. We have become a risk averse organization and staff is not empowered to make decisions, innovate or deviate from prescribed leadership direction”
“I think the leadership reversion back to old ways was immediately recognized by employees and created mistrust. But, I think most employees recognize the impact of the changes to their productivity and are not hampered by their leadership, just disappointed in it”
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Employee Focus Groups
Four focus groups were conducted in real time for this research. Two focus
groups were conducted with employees who joined the organization after the move was
completed in September 2013, and two focus groups were conducted with employees
who “lived through” the change because they were onboard prior to the September 2013
date. All invitees were randomly selected from an employee listing of all employees who
had a duty station at the headquarters building, sorted by on-boarding date (before and
after September 2013). Fifty employees were invited to each focus group. For the newer
employees, 18 people participated in the focus group, which equaled an 18%
participation rate. For the employees who lived through the change, 47 people
participated in the focus group, which equaled a 47% participation rate.
Figure 4.16 below shows the demographic information about the 65 participants;
how many years they had been at the agency, whether they lived through the
transformation, if they have ever previously participated in a change program, and what
type of interaction they had with customers.
Figure 4.16 Demographic Information of Focus Group Participants
0‐2Years
3‐5Years
6‐10Years
11+Years
YesYes
NoNo
Internal
External
Both
None
0%
20%
40%
60%
80%
100%
YearsofServiceatAgency
LivedThroughTransformation
ParticipatedinChangeProgram
CustomerInteraction
FocusGroupDemographics
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The focus group was organized by OLSM subsystem. The researcher first asked
questions and facilitated discussion around the current state. Then, the discussion was
shifted to whether the subject of the question had increased, decreased, or stayed the
same since the move. Below are several charts that show the synthesis of this focus
group data. Figures 4.17 and 4.18 illustrate the focus group’s perceptions of the current
state of the organization. Based on the focus group responses, the majority of
participants felt as though the subsystems of the OLSM were present. The groups’
strongest consensus was around the components of dissemination and diffusion, while
there was less consensus around action and reflection. The focus groups were split when
asked if the organization had goals for developing new products and services. Some of
the responses seemed to indicate that the organization was goal oriented, but that the
goals did not focus on creating new products and services. Another question that had less
agreement was the idea of a strong culture supporting organizational or individual
development. The thought here was that this was much more dependent on an individual
supervisor, as opposed to consistency across the organization.
Figure 4.17 Focus Group Responses - Current State (Time 2) by Question
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Figure 4.18 Focus Group Responses - Current State (Time 2) by OLSM Subsystem
Figures 4.19 and 4.20 depict the feelings of the focus group on whether these
same elements discussed and depicted above have increased, decreased, or stayed the
same over the past several years. The majority of responses indicated that these
conditions have either increased or stayed the same over the past several years. There
was almost unanimous consensus across all groups on the importance placed on
customers and how the focus on customers has either increased or have always been of
utmost importance in the organization. The least amount of agreement was on the
concept of support for organizational and individual development. Not far behind were
the ideas of sharing information and collaboration. There was a theme that emerged that
identified a loss because of the change. Some used the word “family”. Others simply
spoke of more organic collaboration with peers. This sense of loss seemed to emerge in
the focus group as a decreased level of collaboration, sharing of information, and
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development support. Some of this language is evident in the open responses highlighted
in Tables 4.7 and 4.8.
Figure 4.19 Focus Group Responses - Change from the Past by Question
Figure 4.20 Focus Group Responses - Change from the Past by OLSM Subsystem
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In addition to the short answer components of the focus group, there were also
discussions pertaining to respective OLSM subsystems, as well as some higher-level
discussion questions and responses identified in Tables 4.7 and 4.8, respectively.
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Table 4.7
Focus Group Open Responses by Subsystem - Notes from the Focus Group, Reflective of Emergent Themes
Environmental Interface Action/ Reflection Memory/ Meaning Dissemination/ Diffusion
relationship with external environment highly dependent on industry - IT, yes; others, not so much
big difference in perceptions - individual versus organizational development, as well as both extremes with individual and organizational development -> leader and microculture dependent; based on specific orgs
"roller coaster" strong, almost unanimous voice that what customers say is critical to organizational success
external information is sought out based on specific projects or initiatives; reactive and ad hoc; not a regular process
goal setting and reflection/action is much more meaningful in smaller org components
EVS results drive working groups and increased comms
our revolving fund (versus annual appropriation from Congress) gives some parts of the organization more flexibility with change and trying new things
those who have easy knowledge sharing tools (like Slack) are more willing to and likely to share industry and other external information
performance-based metrics in place for every org, most have not yet gotten to measuring impact
ways to communicate have increased but that doesn't mean the effectiveness of comms has increased
as the workforce gets more dispersed, shared values seems to decrease (or become more fragmented)
when Slack groups and access grows to over 100 or 150, sharing seems to reduce - no longer as safe as space for informal sharing
communication is also leadership dependent - strong in pockets; weak in others
process improvements and innovations implemented in one part of the organization are not being institutionalized across org on a regular basis
some very broad shared values at the agency level (like customers being important) but other values are shared more at a smaller organization level
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benchmarking is one way that external data is used throughout the agency
dispersed work environment means that communication and development needs to be more deliberate
"we cannibalize our communication efficiencies"
mission stays constant but the espoused values needed to support the mission seem to change with every administration change
industry days are a common practice - project-based way to get external data to inform work
risk management is more important now
too many working groups - some are poorly led, others continuously tap the same people - "I am on three different working groups all with almost the same scope"
there does seem to be change fatigue in the workforce
administration priorities play a big role - when there is focus, more external data is sought and offered
most org goals are around implementation and buy-in, not on developing new products or services
working groups to develop plans seem to be effective - implementation and feedback falls short
norms are still being figured out in newly consolidated orgs - from a consolidation back in 2012
increased complexity leads to reaching out
scope needs to be targeted to be effective
Continuous change - is it necessary, or just a fact of life?
dispersed work environment makes sharing more important - and needs to be more deliberate - but not the only factor
feedback and focus/follow-through is key to success (and not common)
change programs don't extend past the end of the actual change - no deliberate reinforcement or nurturing
front line employees are so busy, they don't feel they have time - if leadership does scan the external environment, it may or may not trickle down - even if it does, employees may or may not absorb it
most communication is passive and requires action from employee - lots of content and context to unpack
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Table 4.8.
Focus Group Open Responses by High-Level Discussion Questions - Synthesis of Emergent Themes
Just the way we do things now Why it stuck What didn't stick
communication is more often Gchat or email compared with face to face or phone
no option to return (structuration) open telework days - orgs created in-office days for everyone to increase collaboration and knowledge sharing
knowledge sharing - files on the cloud, etc. high WIIFM for employees (sensemaking) < 10% will have dedicated space -> most org leaders and staff have permanent reservations (still in open space)
mobile workforce - telework, etc. leadership support
elevated leadership comms -> immediately following the change, there was an effort for deliberate communication at all levels, that has since decreased
non-mandatory source -> leads to customer focus
increased efficiencies (action/reflection)
Administrator working out in the open - lasted for 3 permanent (and more acting) administrators; current administrator renovated space to create enclosed office and meeting space just for her
data driven decision making could find better talent in less competitive markets (EI)
some specific tech tools - were replaced with something better
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collaborative IT tools used daily technology to support new ways of working available to all
you can sit anywhere in the building - "neighborhoods" are more protects by occupants, making others feel uncomfortable
allocation of shared resources
BookIt versus squatting - as more folks feel comfortable with mobility, they simply find open space to squat versus booking a conference room
communication is more deliberate - less ad hoc
sense of community/ family - less connected when everyone was in the office most days, sat in the same spot, etc.
harder to organically make connections at work
ability to create a team identity - in open, shared space, there is no opportunity to create an identity or shared motivation
measuring employee engagement fewer phone calls
goal was more organic collaboration, but might have had opposite effect
further consolidation of space not yet implemented
virtual work (100% telework) is being more strictly regulated now
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Direct Observation
The researcher conducted direct observation during the six-week data collection
period and notes were taken in regards to both the physical setting of the building and of
the individuals and their observed interactions. Below is a summary table of those
observations.
Table 4.9
Summary of Direct Observations by the Researcher
Observation Type
Summary of Researcher Observations
Physical Setting
work environment is separated between renovated and refreshed space refreshed space shares the same furniture, but is much more
compartmentalized, less airy and open renovated space is bright, open concept space both spaces have bench desks as the standard workstation conference rooms all have wall mounted TVs with connections for laptop
hookup and whiteboards; they vary in size from a small phone room for 1-2 people to a large training center for hundreds; conference rooms are dispersed throughout every floor and wing
lighting is sunlight or LED lighting renovated space has “smart” shades that go up and down, seemingly without
cause and can impact the quality of light when not behaving correctly (i.e. sunshades down when it is dark and cloudy outside)
temperature is comfortable in most areas with smart occupancy sensors in renovated space that monitor room capacity (air goes off or slows down when room is vacant); conditioning of space in renovated section turns off at 6pm nightly
temperature in the refreshed space is still conditioned by radiators and window units; temperature is locally controlled and some sensitive to temperature sit near the controls to “own” the temperature in that area
Employees & Interactions
observed employees in general in their workspace no notes of specific people or conversations were recorded teams tended to sit adjacent to each other in “neighborhoods” some days - especially Mondays and Fridays - the space was almost vacant
with most choosing to work remotely senior leadership was more likely to be in the office and at an assigned or
permanent space than the rest of the organization the new administrator built out an office and moved out of the common space
with the other senior leaders of the organization - this was the fourth administrator (not include acting) since the administrator who announced the
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change, and the first to revert back to an older style of working the culture/norms vary throughout the building; some areas are lively with
active collaboration and talking at full voice, others are quiet with people working individually wearing headphones
most interaction is initiated via chat first, unless it is an organic interaction in the hallway, which occurs frequently
the formality of the environment varies throughout the building - some teams are in business formal attire while others are business casual and still others are just casual; this tends to be dictated by both leadership example and customer interactions
when people “squat” in areas not typical for them, regular occupants in that area give them strategy looks, or even kick them out - there seems to be an unwritten rule to stick to your own “neighborhood”
most meeting invites, even at the senior leadership level, tends to have a virtual option included; however, unless the meeting is all virtual, the virtual attendees are at a disadvantage and they are easily forgotten
it is still the norm to request that everyone be in-person for “important” meetings, whenever possible
there are some groups who have truly dispersed teams of virtual people who collaborate effectively with rare or no in-person opportunities
there is a lot of mobility - a majority of people bring their laptops into a meeting and use the cloud to store documents - this leads to a comfort level in finding a place to “squat” in common or open spaces (or even a coffee shop or on the roof deck) in between meetings - folks can typically be productive anywhere with just their laptop, cell phone, and WiFi
most teams have a day(s) where folks are asked to come into the office to collaborate; other days are open for employee choice
the number of telework days seems to relate to several things - for some, it is the nature of the work; for others, it is personal preference; the biggest cultural factor is how much interaction the person has/needs with senior leadership - with most senior leaders having assigned desks and coming into the office every day, the immediate circle of senior leadership is the least changed group
middle managers seem to be the key to balancing the dispersed culture for front line employees and the in-person culture of senior leadership - they may telework less and be less mobile than their employees, but they have figured out how to effectively manage a dispersed workforce
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Summary of Time 2
As described in Table 4.10, the current state of the organization is no longer
focused on the change as a priority. In fact, new administration priorities have taken
over. At the same time, leadership is taking action that reverses some of the principles of
the change - the new administrator built herself an office that is more traditional and
behind closed doors, instead of sitting out in the open like her three predecessors.
Employees and the previous change agents have noticed a growing divide between
employees and leadership. This puts even more pressure on the middle managers who
are responsible for bridging that growing gap.
Table 4.10.
Overview of Findings for Time 2
Dyad Time 2 - Current State (2018, five years post-move)
One - New information and goal reference knowledge
Reflection is no longer deliberately done centrally; reflection occurs at the individual or team level based on a specific issue or project-based need; this reflection does inform actions and the change has made the ability to reflect and act on new information easier; employees’ ability to adapt based on input has increased, it is just done at a level further down in the organization
Two - Structuring and goal reference knowledge
The new Presidential Management Agenda (PMA) developed by the new Administration, and the priorities of the new administrator, nominated by the new President, means that the goals of this change are no longer as important; there have been some rule reversals, or at least tightening down on flexibilities (like 100% telework); there is a divide in communication between actions and expectations of senior leaders and actions and expectations of front line supervisors and employees; front line supervisors and middle managers are in a position of needing to balance that divide and help employees make sense of the direction
Three - Structuring and new information
Some of the new information coming into the organization is contradictory, with itself and with previous goals of this change (e.g. reduced costs are important, but virtual work is unlikely to be approved, even if at a cost benefit); communication is so pervasive that filtering all of the information to find relevant information is difficult and can be overwhelming
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Four - Structuring and sensemaking
The structuring and sensemaking process has solidified a few shared values agency wide, including the importance of serving the customer and the need to be agile; employees regularly get the reinforcement that the agency is miles ahead of other government agencies in their agility and flexibility; the individual branding of specific business lines has always been important, but there is an increased request from senior leadership to embraced shared services and think more enterprise-wide
Five - Goal reference knowledge and sensemaking
Recent leadership changes are specifically counter to the goals of this goal - like the Administrator moving from common, open space with her senior leadership team back into an exclusive, commonly locked wing of the building; employees who do not have a need to access the Administrator regularly just roll their eyes or may not even know the change has been made; however, the growing divide between senior leadership and the front line employees is breeding distrust; no deliberate efforts have been made to undo the values of risk-taking, transparency, agility, flexibility, and customer-focus; but, senior leadership actions seem to have this unintended consequence
Six - New information and sensemaking
External information is deliberately sought out at the operational level to inform project and programs; there seems to be less seeking out new information from a centralized perspective, unless it is a directive from the Administration; senior leadership is effective at converting the PMA into pithy statements that relate to the organization; other sensemaking occurs at the leadership level during the strategic planning process; the level to which this sensemaking gets pushed down to the front line varies significantly based on leadership, but is rarely very effective; most employees operate at the level they can control, bringing in knowledge, making sense of it, and applying it to the projects, programs, and processes they have control of
Synthesis of Findings across All Three Time Periods
Generally, there was an evolution of organizational learning between the three
time periods (Table 4.11). In Time 0, the organizational learning was centralized and
deliberate, while also focusing on inclusion, empowerment, and transparency. During
Time 1, the transition to a more decentralized effort began. Reflection was still
centralized, but other areas were decentralized, relying on empowerment and practice
from Time 0 to set employees up for success. Time 2 is the new status quo, five years
past the change. Leadership focus has moved on completely at this point, which has
created some challenges for the sustainability. Less focus is being placed on leadership
“leading the way” with the desired behavior, which is creating a divide that is noticeable
by some of the people interviewed for this study. However, other components have
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become status quo even without strong, visible leadership support because the middle
managers and front line employees are getting positive reinforcement from the positive
benefits of the change.
Table 4.11
Overview of Findings by Time and OLSM Dyad
Dyad Time 0 (During Change) Time 1 (Post-Change) Time 2 (Current Day)
One - New information and goal reference knowledge
new information and reflection are centralized and active
new information and reflection are centralized and scaling back
new information and reflection are decentralized and now done ad hoc down lower in the organization
Two - Structuring and goal reference knowledge
structuring managed centrally; strong communications alignment; structures are iterative based on feedback
strong leadership support; decentralizing structuring and communication; iterations tend to revert back to old ways
“new way of working” seen as status quo and not addressed by leadership; divide between senior leadership and operational employees; some specific undoing of goals
Three - Structuring and new information
centralized, active, and iterative structuring based on proactively sought out new information
decentralizing structuring based on ad hoc reactively sought out new information; centralized effort moved from “learning” to “selling as expert”
decentralized structuring based on overwhelming amounts of sometimes contradictory information
Four - Structuring and sensemaking
shared values; common language; safe environment for risk-taking and practice
espoused support from leadership; misalignment between leadership “doing” and “saying”; employees responsible for figuring out their own new routines
A few shared values solidified (customer-focus & agility); balancing individuality and an enterprise-focus seems to be next focus
Five - Goal reference knowledge and sensemaking
reflection questions deliberately disruptive of status quo; communications supported sensemaking process
sensemaking decentralized; therefore, less alignment in messaging and outcomes
sensemaking decentralized and divide growing between senior leadership and operational employees
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Six - New information and sensemaking
Assumptions and end state align; information is filtered and interpreted in a transparent way; feedback and iterative design were key components
Information is coming into the org in a decentralized, informal way; provides employees with perspective that reinforces benefits of change
Information is coming in at all levels; sensemaking occurs individually and in teams with some support from communications, depending on org; employees operate within their own span of control
A few shared values emerged; being customer-focused and agile are two of the
values that were unanimously shared across the focus groups. Additionally, the
decentralization of sensemaking and sorting of external information means that
information overload was a common comment by interviewees and focus groups. The
result is that most information and sensemaking is now done ad hoc on a project by
project basis and not as an ongoing effort. When retrospectively aligning the change and
findings to the OLSM subsystems, most are currently happening at the team or front-line
level and not at the larger organization level, causing a divide between leadership and the
front-line. The next chapter will explore the conclusions and interpretations of these
findings, and how the evolution of the organizational learning subsystems can help
inform other change initiatives.
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CHAPTER 5: Conclusions, Interpretations, and Recommendations
This chapter presents the conclusions, interpretations, and recommendations of
this case study. The purpose of this study was to explore how a government agency
developed and sustained organizational learning, using the Organizational Learning
Systems Model (OLSM) as a lens. To fulfill the purpose of this study, the following
research question addressed is: How did a government agency introduce and sustain
organizational learning during and after a planned change?
Conclusions and Interpretations
In an effort to answer the research question, the data from all of the various data
points were divided into three time periods: Time 0 - during the change; Time 1 - post-
change; and Time 2 - current day. Then, each time period was synthesized using the six
subsystem dyads of the OLSM: new information and goal reference knowledge;
structuring and goal reference knowledge; structuring and new information; structuring
and sensemaking; goal reference knowledge and sensemaking; and, new information and
sensemaking. Finally, the analysis completed retrospectively for each time period,
aligned to the six OLSM dyads, were compared to each other to show any change over
time.
It was the deep understanding of the data, and the synthesis of the data into time
periods and dyads, that informed the seven main conclusions that addressed the research
question: How did a government agency introduce and sustain organizational learning
during and after a planned change? Five conclusions were things that the organization
did throughout the change to support the sustainability of organizational learning. Two
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of the conclusions were things that challenged the sustainability of organizational
learning long term. The conclusions are outlined in Table 5.1.
Table 5.1
Seven Conclusions that Address the Research Question
Conclusions How it Relates to OLSM
1. The organization introduced and implemented organizational learning by centrally managing the different components of the learning subsystems during the change itself.
This conclusion relates to all subsystems and relationships as the change was initiated and implemented. By looking at Table 4.2, it is clear that all four learning subsystems were tightly, but collaboratively, managed during the change (Time 0).
2. The organization introduced and sustained organizational learning by involving, encouraging, and empowering employees and middle managers during the change.
This conclusion relates to all subsystems and relationships, but is more focused on Memory/ Meaning and Action/ Reflection learning subsystems with the sensemaking and goal reference knowledge interchange media. The collaboration and transparency when the change was initiated and implemented (Time 0) helped empower employees and middle managers in preparation for sustaining the change past the end of the change initiative, where they would have more responsibility for sustaining the change.
3. The organization introduced and implemented organizational learning by aligning all messaging from senior leadership to front-line employees during the change.
This was strongly aligned to the Memory/ Meaning learning subsystem. With the examination of Table 4.2, it is clear that sensemaking was centralized during the change and the strong alignment and transparency prevented mixed messages and built trust.
4. The organization implemented and sustained organizational learning by encouraging practice to learn the new behaviors and to iterate the change plan based on lessons learned.
This conclusion is closely aligned with the Dissemination/Diffusion learning subsystem and the structuration interchange media. As evidenced by Tables 4.2 and 4.4, some of the structuration was due to the nature of the change. Other structuration was due to the encouragement of practice and incorporating the lessons from that practice into the implementation and sustainability of the change (Time 0 and Time 1).
5. The organization sustained organizational learning by counting on middle managers to sustain sensemaking and organizational learning post-change.
This was strongly tied to the Action/ Reflection and Meaning/ Memory learning subsystems. Tables 4.4 and 4.10 show how the subsystems were decentralized after the change initiative was over (Time 1 and Time 2), sensemaking and goal reference knowledge became the responsibility of employees and middle managers.
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6. The organization was challenged in sustaining organizational learning because the specific change to a dispersed work environment has several unintended consequences that make it a tricky change.
This was an interesting impact on the learning subsystems. The structural change of reducing space and allowing workplace flexibility by changing policies meant that the Dissemination/ Diffusion learning sub-system was strong. However, the dispersed workforce that resulted from the structural change presented a barrier to the other three learning subsystems, especially during Time 1 and 2, when the efforts were more decentralized. (see Tables 4.4 and 4.10)
7. The organization was challenged in sustaining organizational learning because as senior leadership priorities move further away from the specific change, the organizational learning became more decentralized and fragmented.
This conclusion was another barrier to the sustainability of organizational learning. It mostly impacted the Environmental Interface, Action/ Reflection, and Memory/ Meaning learning subsystems. Without the centralized focus, new information, goal reference knowledge, and sensemaking were all implemented in a more fragmented way and the assistance employees had in Time 0 with making sense and moving forward was no longer presence. Table 4.10 shows how, in Time 2, Dissemination/ Diffusion learning subsystem was also impacted as some of the structural changes adopted in support of the change are beginning to be undone.
By looking at the strength and centralization of the four learning subsystems and
six interchange media in the OLSM, this retrospective case study shows a distinct
evolution of the status of the learning subsystems over time. In Time 0, the entire
learning subsystems had well-aligned and centrally managed elements. As the change
initiative wrapped up and the organization moved into Time 1, the learning subsystems,
specifically the Action/ Reflection and Memory/Meaning subsystems, remained
observable, but in a more decentralized way - middle managers and individual employees
were now responsible for adjusting and creating group norms that help them succeed in
the “new way of working”. Reflecting back from Time 2, the two barriers to the
sustainability of organizational learning and change emerged - the nature of the structural
change actually acted to disconnect and disperse the system and leadership focus moved
on before the “new way of working” was fully embedded into every layer of the
organization, making the other elements of organizational learning more difficult to
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sustain. Each conclusion listed below is addressed in depth and the contribution to
existing literature is examined.
1. The organization introduced and implemented organizational learning by
centrally managing the different components of the learning subsystems during the
change itself.
From the start of the change initiative, the change was iterative and collaborative.
The change was initiated by a disrupting question from the head of the agency to her
senior leadership, not a directive. The creation of the business case for change was
iterative and collaborative in nature. Every part of the change management process was,
while nominally top-down, transparent and participative. A centralized PMO for the
“Extreme Challenge” was put into place and members from all stakeholder groups were
made a part of that matrixed PMO for the life of the change initiative.
This strong centralization revealed itself in every dyad in Time 0, when viewed
through the OLSM lens. New information was brought in from all parts of the
organization, but curated and centrally shared out. The reflection on the new information
was also done centrally, which then informed of any messaging going out or iterative
changes to be made. Centralized sensemaking was apparent by the prolific use of
common language; even today, employees who lived through the change refer to the
change to the “new way of working”.
More than words and messaging, there was alignment between the behaviors
needed in the change (smart risk-taking, flexibility, agility, etc.) and the behaviors asked
for by senior leadership, especially in the critical time period during the change. While
this centralized management was only truly present in Time 0, all indications are that was
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where the centralized management was most important. As the change initiative moved
from being an active change initiative to a past, and then more distant past, initiative, the
centralization and focus dissolved and employees and middle managers were responsible
for picking up the slack and figuring out how to continue to iterate and adjust routines
and process to succeed in the new environment.
There was a portion of the change research that focused on offering advice based
on their own assumptions about the nature of change. Whether the advice focused on
maximum involvement of organizational members - developing a shared vision,
empowering others, allowing for improvement throughout the change, creating change
agent networks, and helping people with the paradox (Battilana & Casciaro, 2012; Chin
& Benne, 1989; Smets, Morris, & Greenwood, 2012; Smith & Lewis, 2011) - or dealing
with understanding and adapting to the complexity of change - encouraging pluralism,
questioning assumptions, planning for unanticipated consequences, and dealing with
acceleration of change (Glynn, Barr, & Dacin, 2000; Kilduff & Dougherty, 2000;
McKinley & Scherer, 2000; Pettigrew et al., 2001; Plowman et al., 2007) - the consensus
was that this “help” was centrally orchestrated for all parts of the organization going
through the change. The results from this case study largely support the research that
recommends maximum engagement of stakeholders or helping stakeholders deal with the
various complexities of change. The centralization of these efforts helps build a certain
amount of shared experiences, common language, and baseline understanding that
seemed to be a powerful force in sustaining the organizational learning and change across
the three time periods.
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2. The organization introduced and sustained organizational learning by involving,
encouraging, and empowering employees and middle managers during the change.
The participative, iterative, and transparent change management process that
involved select managers and employees, and encouraged the rest to get involved and
provide input, served an important purpose. This involvement from the beginning
seemed to empower and give confidence to those stakeholders, while growing their buy-
in as their feedback was iteratively incorporated into the change process. This confidence
and empowerment grew into self-efficacy, which enabled middle managers and front line
employees to keep the organizational learning alive once the organized, centralized
support dissolved post-change.
In Time 1, the data shows evidence that leadership is moving on; they are
claiming success and selling the experience to customers as the self-proclaimed experts,
the divide between what they say and what they do seems to be growing more apparent,
and the self-empowering, risk-taking messaging coming from top leadership has ceased.
Regardless, employees, and especially middle managers who have to straddle that
growing divide between leadership and employees, continue to embrace the principles
behind the change. Some of the less compelling, and perhaps more contrived, goals of
the change (like Zero Environmental Footprint) fall away, and employees rally around
the goals that make the most sense for the organization as a whole - values such as being
customer-centric and agile.
It is important to empower employees and middle managers to cope with the
paradox of the change - the need to adapt AND build new routines; the need to learn the
“new way of working” AND maintain the old level of customer service (or better); the
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importance of the “new way of working” to organizational success AND the fact that top
leadership is not agile as the rest of the workforce is becoming. Luscher and Lewis
(2008) compare the stages of coping with paradox - confronting, accepting, transcending
- with single-, double-, and triple-loop learning. This fits easily into the idea of
developing and sustaining organizational learning through a planned change. As
employees and middle managers learn how to make sense of, and live with, the paradox,
they are able to help others make sense of it as well. Making sure the structure of the
change program allows for that empowerment is one of the keys to sustainability.
If it were not for the structure and encouragement in Time 0, it is possible that as
the centralized support died down in Time 1, the employees and middle managers would
have reverted back to the old ways of doing things as much as possible. It is important to
note here that, since part of the change was a 50% reduction in space, fully reverting back
to the old way of doing this was not possible; there was not enough space. However, the
changes that have sustained long term are more than were required to maintain just
because of the space constraint. Tsoukas and Chia (2002) describe change as “reweaving
webs of beliefs and habits of action to accommodate new experiences obtained through
interactions” and describe organizations as sites of constantly evolving human action.
This philosophy of each interaction, and each person, being part of the organizational
change is consistent with the idea that empowering employees at all levels, but
specifically at the middle and front-line levels, is imperative to sustaining organizational
learning and change long term.
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3. The organization introduced and implemented organizational learning by
aligning all messaging from senior leadership to front-line employees during the
change.
The alignment of messaging, from the words and concepts shared internally and
externally from the head of the agency to the messaging sent to front-line employees
from their direct supervisor, was another factor in Time 0 that made the alignment to the
OLSM model so strong. This alignment was accomplished through a few specific tactics.
The first was the level of transparency and the involvement of the key stakeholders from
the beginning. This allowed representatives from each stakeholder group to share what
was most important, and most concerning, for the specific organizational sub-groups.
The second was the creation and constant updating of a transformation message map.
This message map allowed the messaging to align, but did not create a bottle neck where
organizational leaders at all levels were waiting for the messaging to trickle down.
However, the biggest impact for messaging alignment was the creation of change
networks. The centralized PMO created a change network for all stakeholders. This
group shared information on a weekly or bi-weekly basis throughout the change period.
Information flowed both ways in the change networks; this was the largest feedback
channel for the PMO and their iterative change process. For those stakeholders who had
larger groups that they were representing, they created their own change networks to
share information from the central PMO as well as help address any unique issues,
concerns, and needs that group needed. One of these unique needs was the “WAVE”
experiential change program led by one of these sub-networks.
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This striated model of networks provided several layers of channels to filter
information down and up throughout the organization and ensure messaging alignment
and a constant feedback loop. Not only did this change network model ensure alignment,
but it also meant that messaging could be catered to the specific audience and stakeholder
group so that messaging was as relevant and meaningful as it could be. This
communication alignment appeared to support to OLSM learning subsystems and dyads
in several different ways, from creating common language and shared values to assisting
with centralized sensemaking.
Proper change messaging - messaging that is useful, timely, and adequate - is an
important component of empowering employees and preparing them to change (Wanberg
and Banas, 2000). Kotter (1995) makes the claim that inadequate change communication
is one of the main reasons why organizational changes fail. A more recent study found
that the more useful, timely, and adequate the information about the change was in the
perception of the employees, the higher their support for the change (van den Heuvel,
Freese, Schalk, & van Assen, 2017). These findings are supported fully in this case
study. Not only was the messaging useful and timely, but it was also incredibly
consistent and shared at all levels of the organization. Interviews with the administrator
that were published in public articles were consistent with the information shared
internally by not only the administrator, but by all levels of the organization. This
consistency and alignment sent the employees a strong message and gave them a level of
confidence that the change was happening and the business case shared with them was
the truth. This trust manifested in things like developing a shared language - a way each
employee talked about the change that aligned with and reinforced the change messaging.
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4. The organization implemented and sustained organizational learning by
encouraging practice to learn the new behaviors and to iterate the change plan
based on lessons learned.
Whether an employee was, or was not, part of an organization that conducted a
structured experiential change program, the overall message was still clear: lean in, take
risks, and practice the new way of working. Practice was used in the form of “design
labs” to test out different space designs to see what the organization needed the most.
Practice was encouraged to learn how to be an effective teleworker and to collaborate
when the team is not collocated. Practice was used to develop the team and group norms
that would be needed in the “new way of working”. Finally, all of the lessons learned
from the practice were used to iterate and evolve the change process, and in some cases
the design plans, to ensure maximum success. These centralized efforts to help
employees learn and practice the needed behaviors supported several of the OLSM
learning subsystems and dyads. Practice helped with action and reflection, as well as
sensemaking and created group and team norms to support the new behavior moving
forward.
Research posits several benefits for experiential change programs, including
heightened organizational awareness, strengthened organizational culture and values,
increased job performance, increased organizational learning, and enhanced decision
making based on policies and procedures (Russ, 2010, 2011). The benefits were apparent
in this case study.
Practice enables the employee to have a heightened awareness of the implications
of the new way of working, and their proficiency with the behaviors needed to be
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successful in that new way of working. While less direct, this case study highlights the
solidification of shared values within the organization. While some that were espoused at
the beginning of the change did not sustain, those that did (like being agile and customer-
centric) have become “part of the DNA” of the organization. With the knowledge of what
behaviors were needed, and what the employee’s current proficiency was with those
behaviors, the employee was able to work on learning and building competence before
those behaviors were absolutely needed, thereby increasing job performance, or at least
reducing a drop in productivity post-change. The practice in the experiential change
program, in collaboration with the iterative nature of the change process, sustained
organizational learning throughout and long after the change and enhanced the decision
making regarding both the change process as well as changes needed in policies and
procedures. Russ (2008, 2010, 2011) posits that the high levels of interactivity embedded
within an experiential change program, one that encourages cognitive, affective, and
kinesthetic engagement, might be a reason for this level of success.
Armstrong (1982) found that even with evidence that an initiative worked for over
95 out of 100 people, that initiative was seldom used by others to change their own
behavior. However, people were often willing to generalize from their own experience to
say how they would act in the future and even to predict how others would act. This
finding indicates that the most rational and compelling business case (even one where, as
in this case, there is joint ownership of developing the business case) does less to
encourage change than letting people experience the benefits for themselves. In fact, the
main assumption of experiential learning is that one learns best by doing, especially adult
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learners who favor a learning-from-experience approach (Rollag & Parise, 2005; Walter
& Marks, 1981).
Based on the concept that the visceral engagement found in experience-based
methods is generally lacking in more traditional methods and the theoretical assumption
that change is most successful when stakeholders are treated as active learners, Russ
(2008, 2010, 2011) developed a conceptual framework to define participatory
Experiential Change Programs (ECP). The objective of the participatory ECP is
knowledge creation. Instead of specific, planned outcomes, the participatory method has
overarching learning objectives. Instead of blind compliance, the participatory method
emphasizes reflection and promotes process-driven change (Russ, 2010). This method
offers opportunity for employee engagement and feedback and is in line with the
experiences of this case study and the OLSM that focuses on reflection, structuring, and
sensemaking.
Experiential change programs have the capability to foster emotional conditions
that are likely to compel mid-level managers to make a concerted effort to bring about
change in organizational settings (Russ, 2011). This engagement of middle managers is
key since, in this case study, middle managers were the ones who bore the responsibility
of balancing the changing priorities and behaviors of senior leaders while still helping the
front line employees to make sense of and adopt the change.
5. The organization sustained organizational learning by counting on middle
managers to sustain sensemaking and organizational learning post-change.
Sensemaking is a concept that involves “ongoing retrospective development of
plausible images that rationalize what people are doing” (Weick et al., 2005, p. 409).
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Sensemaking is a process undergone in times of uncertainty to “interpret and create an
order for occurrences” (Luscher& Lewis, 2008, p. 221). It is also the interchange
medium associated with the Memory and Meaning learning subsystem in the OLSM
model (Schwandt & Marquardt, 2000). It includes the processes of scanning,
interpretation, and associated actions (Thomas, Clark, & Gioia, 1993). Employee and
managerial sensemaking could also be an outcome of change (Lockett, Currie, Finn,
Martin, & Waring, 2014; Luscher & Lewis, 2008; Mantere, Schildt, & Sillince, 2012;
Weick, 1995). Sensemaking is not just a cognitive process; it is also an emotional one,
where emotions of the individual doing the sensemaking influence the interpretation of
the event. This is one of the reasons why the alignment and centralized management of
messaging and the change process is so important at the beginning; the organization
wants to help direct individuals, and the organization as a whole, towards meanings that
are not rooted in the fear of the unknown or pure resistance to change.
However, once the centralized efforts ceased post-change, middle managers found
themselves in a position where the messaging from above and the needs and messaging
from below were not in alignment. Middle managers found themselves needing to
engage in “sensegiving” where they address the ambiguity experienced by others and
provide a renewed clarity for further action (Corley & Gioia, 2004). This process of
sensemaking–sensegiving has been related to instigating strategic change (Gioia &
Chittipeddi, 1991), identity change (Corley & Gioia, 2004), and drawing people into the
change process (Rouleau & Balogun, 2011). In this case, middle managers found
themselves in a position to balance the new priorities of senior leadership while also
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giving the employees what they need to continue to settle into a routine that supports the
new way of working.
By examining the dyads in Time 1 and Time 2 through the perspective of the
dyads, it is evident that the organizational learning related to this change became more
and more decentralized, and was only sustained through the efforts of middle
management navigating the divide between employee needs and leadership demands,
along with the self-efficacy of employees.
6. The organization was challenged in sustaining organizational learning because
the specific change to a dispersed work environment has several unintended
consequences that make it a tricky change.
While the previous five conclusions were more related to the reasons that the
organizational learning was sustained, the final two conclusions represent challenges to
the sustainability of the organizational learning and change long term. One of the themes
from the focus groups, interviews, and other documentation analyzed was the feeling
among employees that the organization has lost something in this change. Some call it a
“sense of family”, while others simply reference the lack of organic interactions and
bonding in the new way of working. Most attribute this loss to the dispersed work
environment. While the business case for the change to the new way of working
described space that would be customizable to anyone’s working style and that there
would be an increased level of organic collaboration and knowledge sharing, those
benefits were benefits found to be true in open spaces where employees all reported to
the office (Andriopoulos & Gotsi, 2001; Appel-Meulenbroek, Groenen, & Janssen, 2011;
Barber, Laing, & Simeone, 2005; Coradi, Heinzen, & Boutellier, 2015a, 2015b). The
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new way of working in this case included moving to the open, activity-based space while
simultaneously moving to an increasingly dispersed work environment with increased
telework and virtual work.
This challenge, even five years later, still has the organization grieving over a
time where meeting new people, hanging out with colleagues after work, coming up to
speed faster in a new role because of immediate access to mentors, and feeling a sense of
community was easier and more organic. There has been a lot of research over the past
several years on how the workspace impacts various components of human performance
and organizational culture (Andriopoulos & Gotsi, 2001; Appel-Meulenbroek et al.,
2011; Barber et al., 2005; Brown, 2009; Coradi et al., 2015a, 2015b; Ekstrand &
Damman, 2016; Ladinski, 2017; Martens, 2011; Peterson & Beard, 2004; Richter, 2001;
Roper & Juneja, 2007; Rothe & Heywood, 2015; Skogland, 2017; Skogland & Hansen,
2017). Many organizations are seeing the potential benefits of finding talent out of highly
competitive markets, reducing overhead costs by eliminating or reducing brick and
mortar buildings for their staff, as well as many others (Appel-Meulenbroek et al., 2011).
Coradi et al., (2015a, 2015b) have been researching the impact of workspace on
organizational learning and suggest that exploitation is supported by workspace design
where people are collocated, leading to faster feedback cycles and first-hand information.
Exploration, however, is supported by workspace design with high visibility across
teams, triggering more cross-functional interactions and thereby the variability of
knowledge. These goals of increased inter- and intra- team collaboration are echoed in
the goals of the change studied in this case. However, others have studied employee
impacts after the fact and found that there are some unintended consequences to activity-
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based workspaces, such as loss of productivity, dissatisfaction, and even illness.
Employees using the space differently than intended was the most common cause for
undesirable feedback (Appel-Meulenbroek et al., 2011).
Studies that examine the workspace and the impact of the workspace on
employees’ productivity, positive or negative, make the underlying assumption that the
employees come to the office regularly. Barber et al. (2005) noted the trend several years
ago that "organizations expect work to become more collaborative (both face-to-face and
virtually), information technology will enable growth in distributed working, and the
workplace will be re-designed to support collaboration rather than individual work
activity" (p. 211). Presumably, this trend has accelerated since this trend report over ten
years ago. This case study supports that assertion.
7. The organization was challenged in sustaining organizational learning because as
senior leadership priorities move further away from the specific change, the
organizational learning became more decentralized and fragmented.
The leadership in this case followed a familiar path. There was initially a lot of
alignment, focus, and passion about the change to the new way of working. The initial
leadership was especially good in setting up a change process to usher the organization
through the change. However, as leadership changed and the organization moved further
away from the time period and priorities that initiated the change, the organizational
learning became more decentralized and fragmented.
This fragmentation presents a challenge for the organization and its ability to
sustain organizational learning long term. With such decentralized learning, the
information being circulated at any given time is so overwhelming, with almost no
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messaging “sticks”. While the process of the organizational learning can be seen in the
employee viewpoint survey trends and how the various responses, which had bottomed
out immediately post-change, have gone up every year, it is still notable that questions
related to empowerment and innovation, resources, and working together are all still
below 70% positive, despite three straight years of improvement.
It is certainly not practical to expect leadership to manage a change centrally,
even five years past the change, or even highlight the change in communications as a top
priority. However, one of the transitional pieces that seems to be missing is the
deliberate baton pass between the centralized effort and a more generalized but
decentralized organizational learning effort. As mentioned above, middle managers
landed into the sensegiving role, but without much, if any, deliberate support or guidance.
As Luscher and Lewis (2008) stated, middle managers need help understanding how they
can make sense of the change. Change is paradoxical in nature and as the transition from
a centrally-managed process to a more decentralized process occurred, it might have been
helpful to have support for middle managers in understanding their role moving forward.
A deliberate baton pass might have helped sustain organizational learning in a more
deliberate way. Perhaps a more deliberate transition between the specific change effort
and sustained organizational learning, with guidance, direction, and expectations for
middle managers, would have alleviated this challenge and helped prevent the
fragmentation that seems evident in Time 2, five years post-change.
Another interesting perspective is the idea that change leadership, in and of itself,
is an oxymoron; that scholars and practitioners alike are fostering myths of an “us” versus
“them” mentality - that there is somehow a shortage of leaders (By, Hughes, & Ford,
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2016). By looking at the most popular citations over the past several years, it is Kotter
(1996), with his perspectives on leading change, and Bass (2006), with his perspectives
on transformational leadership, which have dominated the debate. They both share a
common trait with Burns (1978), who first made the distinction between the concepts of
transformational and transactional leadership. However, if one considers leadership to be
a trait or role, not based on a position, the evolution of the organizational learning from a
centralized, top-down position to dispersed throughout the organization, as seen in this
case, the concept of leadership needed to lead the change stands. However, the
responsibility of leading is on all of those in the organization, not just those employees
who happen to be in a management position.
Implications for Theory
Augmenting the Organizational Learning Systems Model
Even though the OLSM was not part of the information used to implement and/or
sustain the change and was only applied as a theoretical framework after the fact, use of
the model in this retrospective view proved to be a very useful way to capture all of the
moving parts of the system during and after a planned change. The actions and concepts
the researcher deemed to be of key importance from the data analysis fit seamlessly into
the OLSM. Conversely, this researcher can see how it could be a useful model when
looking to manage and sustain a change from the beginning.
However, in order for the OLSM to be truly useful as a tool to guide the initiation
and sustainability of an organizational change, time - and how the dyads evolve over time
- needs to be incorporated in the model. This case study shows that part of the success of
the studied change was the strong alignment and deliberate management of the learning
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subsystems captured in the six dyads, even if inadvertently. But, the nature of how the
dyads manifested in the organization evolves over time, the further the organization got
away from the actual change initiative.
Change is inevitable; it is unrealistic to assume that every change initiative, even
large transformational ones, will remain centrally managed and the organization’s top
priority in perpetuity. Instead, the interchange needs to somehow be transferred into all
levels of the organization over time. In this case study, where the organizational learning
was most successfully sustained, the alignment remained and the actions descriptive of
each dyad were decentralized and shared throughout networks. Where the sustainability
of the organizational learning was least successful, the decentralization occurred without
maintaining a certain level of alignment and the organizational learning became so
fragmented that it made it hard for any learning to filter back into the organization as a
whole.
Based on this case study and the findings when sorted by dyad and time, the
researcher is proposing a conceptual model on how each dyad should evolve for
maximum sustainability over time.
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Table 5.2 Conceptual Model to Augment OLSM
Dyad During Change 1-2 Years Post-Change 3-5 Years Post-Change
One - New information and goal reference knowledge
new information and reflection are centralized and active
new information and reflection are centralized but scaling back
new information and reflection are decentralized but shared widely through various organizational networks
Two - Structuring and goal reference knowledge
structuring managed centrally; strong communications alignment; structures are iterative based on feedback
strong leadership support for new behaviors and capabilities; decentralizing structuring and communication
change now seen as status quo; alignment between behaviors/ capabilities and organizational measures and what is valued
Three - Structuring and new information
centralized, active, and iterative structuring based on proactively sought out new information
decentralizing structuring but new information sought out proactively at all levels
decentralized structuring but new information sought out proactively at all levels and shared widely through networks
Four - Structuring and sensemaking
shared values; common language; safe environment for risk-taking and practice
alignment between leadership “doing” and “saying”; employees empowered to figure out their own new routines
shared values solidified; “new” routines are now second nature; leadership moving on to next focus, which builds on past changes
Five - Goal reference knowledge and sensemaking
reflection questions deliberately disruptive of status quo; communications support sensemaking process
reflection and sensemaking transferred to middle management; support provided to middle management
reflection and sensemaking now part of routines and done at all levels of the organization and shared among networks
Six - New information and sensemaking
alignment between assumptions and end state; information is filtered and interpreted in a transparent way; feedback used to iteratively update change plan
information comes into the organization in formal and informal ways at all levels; ideally, information helps reinforce change behaviors; all levels open to feedback
information comes into the organization in formal and informal ways at all levels; sensemaking occurs individually and within teams/ networks
Recommendations for Practice
Since this research was conducted through a pragmatic lens, a lot of the
conclusions and discussions to this point have been relevant for practice. In fact, the
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recommendations for practice are relevant to several different stakeholders within the
organization. For that reason, the recommendations for practice section has been divided
into six separate sections, each section focusing on tips for a different organizational
stakeholder.
The first section focuses on recommendations for change leaders who are looking
to implement and sustain a successful organizational change. The second section focuses
on tips specifically for those in a Chief Learning Officer role. The third section addresses
tips for managers living through a change. The fourth and fifth sections focus on
organizational roles that played a part in the specific change studied in this case: Chief
Information Officers and Facility Managers, respectively. The final section provides tips
to other scholar-practitioners looking to do research within their own organization.
Each section is depicted in both paragraph form and graphic form below. The
recommendations for practice came from not only the findings and discussion of this case
study, but also from the data analysis and researcher notes that may not have been
relevant to answer the research question of this study, but still held relevant lessons for
organizational stakeholders.
Recommendations for Change Leaders
This section includes seven factors that this researcher has identified as critical
success factors in the implementation and sustainability of the organizational learning
and change studied in the case.
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Figure 5.1 Recommendations for Practice - Change Leaders
1. Use the OLSM to Guide the Development of a Change Program.
The change studied in this case did not deliberately follow the OLSM from the
outset of the change. Instead, it was applied retrospectively as a theoretical framework.
However, the alignment between the actions of the change team and the OLSM shows
how the four learning subsystems (Environment Interface, Action and Reflection,
Memory and Meaning, and Dissemination and Diffusion) and the six Interchange Dyads
(new information and goal reference knowledge; structuring and goal reference
knowledge; structuring and new information; structuring and sensemaking; goal
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reference knowledge and sensemaking; and, new information and sensemaking) can be
used to ensure all aspects of the change system are accounted for in a change plan.
Further, the augmentation to the OLSM proposed in this research (see Table 5.1)
provides a road map as to how the different dyads could look during, after, and long after
the change. This is particularly useful if sustaining organizational learning and change is
an important component of the change.
2. Create a Centralized Program Management Office that aligns all components of the
OLSM.
The centralized program management office (PMO) was a key component of the
change. It had several key characteristics. Membership was open to all stakeholders and
the control of those stakeholders was loose. The PMO ensured alignment and
consistency, but did not act a bottle neck or roadblock for stakeholders who wanted to do
additional change management work. On the contrary, the centralized PMO was
interested in sharing lessons learned and incorporating those lessons into the larger
change initiative. This aligned-but-collaborative approach worked to engage
stakeholders to get their buy-in while also improving the overall change process.
3. Utilize Change Networks at all Levels of the Organization to Help Implement the
Change.
Change networks were a powerful feedback mechanism and communication
channel for the studied change effort. In this case, there were two levels of change
networks. The network that was aligned with the centralized PMO consisted of one or
two representatives from each internal stakeholder group and was focused mostly on
expressing the needs of the various stakeholders to the PMO, helping with language for
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the messaging that would resonate with the stakeholders, and collaboratively creating
documents, such as the business case.
The second level of network was at the stakeholder level. Some of the larger
stakeholder groups, who were representing thousands of impacted employees, created
their own change agent networks to actually support the needed behavior changes for a
successful change. Typically, the lead of the stakeholder network was the representative
of the stakeholder on the centralized PMO. The two levels of change networks were
aligned through common goals, defined messaging, and transparent collaboration.
However, the stakeholder network groups were much more tactical and “hands-on” with
the impacted employees.
This striated organization and alignment between the groups allowed the network
at the agency level to benefit from “hands-on” interactions, without having to manage
that for the larger organization. These change networks were resource intensive, but very
effective in enabling and sustaining organizational learning and change.
4. Utilize Experiential Change Programs to Help Employees Practice New Behaviors.
The post-change surveys validated the importance of discreet experiential change
opportunities. The program that one of the stakeholder networks conducted was provided
to the rest of the stakeholders as a model. One of the findings from the document review
was that the perception of readiness by employees who had not gone through the change
was high; they did not know what they did not know. In contrast, those who did go
through the change had a lower perceived readiness score. However, in the post-change
surveys, the responses flipped. Those who had gone through the experiential change
program felt the change was smooth and there was minimal loss of productivity. Those
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who had not gone through the experiential change program regretted that fact and
acknowledged that practice might have reduced or eliminated the loss in productivity
they were sure was the case.
5. Develop Programs that Support and Empower Middle Managers During and After
the Change.
This implication was a lesson learned from this case study. Middle managers
became the group of employees responsible for bridging the gap between leadership, who
tends to move on to the next priority quickly, and employees, who might still be
struggling and learning how to operate in the new environment. Because the alignment
and support was so strong in Time 0 for this case, middle managers, for the most part,
seemed to be able to bridge this gap fairly seamlessly. However, if the transition from
centralized change effort to decentralized management at the organization level was more
deliberate, with specific engagement, training, and support for middle management, the
sustainability of organizational learning and change may have been even more successful
and certainly less stressful for those middle managers.
6. Foster an Open Process that is Transparent, Collaborative, and Iterative.
The change in the case study was a transparent, collaborative, and iterative
process from the very beginning. This is not a common phenomenon in large
bureaucratic institutions, especially in federal organizations. Whether it is because of
union considerations or worry about the media impressions or something else,
transparency is something that is often discussed but rarely achieved in the federal space.
This change was the exception, and that is part of the reason for its success. From the
first “what if” question, input was solicited and the plan was created with input from
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stakeholders, and it evolved as it needed to. It should be clear that this did not mean there
were not resistance voices from various stakeholders. But, those voices were welcomed
to the table to provide input with a “this is happening, but if you want to help design how
it happens, you are welcome” attitude. The “this is happening” message was strong and
never wavered, despite the naysayers. But, everyone was welcome to collaborate to
make the change process better. This open process helped engender buy in from the
outset and made the change process much better than originally envisioned.
7. Align Messaging and Brand the Change Externally and Internally, from the Top
Down.
Words matter. And, the federal organizations tend to use ten words when one will
do. However, in this case, a lot of attention was spent on how the change was described
and the words were used very strategically. “Extreme Challenge” was a way of
acknowledging the difficulty, while still sending the message that change was coming.
“New Way of Working” was a concise way of labeling a very complex and multi-faceted
change. “Work is what you do, not where you are” was a pithy way of expressing the
philosophical change that was underway. These words and phrases, once decided on,
became the drumbeat words that everyone used. They were placed on the message map.
The head of the agency used them in her blogs to employees and in interviews to the
media. They became the brand of the change; a common language that meant something
to all of the stakeholders, and that stakeholders could use to describe the change to others.
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Recommendations for Chief Learning Officers
This section includes seven recommendation for those in Chief Learning Officer,
or similar, roles that are responsible for formulating the strategy to drive corporate
learning direction, goals, and policies within an organization.
Figure 5.2 Recommendations for Practice - Chief Learning Officers
1. Set the vision for the organization and make sure it is understood by everyone.
This case study focused on sustaining a tangible planned change through
organizational learning and examined that learning by retrospectively using the
Organizational Learning Systems Model. Those in Chief Learning Officer, or similar,
roles are responsible for delivering something slightly less tangible. Even so, the impetus
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for change in this study was the Administrator asking a disrupting question, which
eventually became the vision for the change initiative. This vision was clear and the
messaging around it was aligned from the top leader all the way down to the front line
employee, including external media. This clear vision acted as the catalyst for the change
explored in this study. Building the strategy and capacity for organizational learning is
less tangible than reducing the office footprint and increasing telework. For that reason, it
is even more important that the vision be clear and understood by all of the stakeholders
in the same way.
2. Enlist senior leadership to actively support and model the defined vision.
The organization’s leadership sets larger organizational strategy and develops
measures, metrics, and other recognition systems that either support or detract from that
vision. The support needed for a successful change is much more than simply espoused
support from leadership. This study showed that true leadership support – where all
leaders were expected to help implement the change, were living through the change
themselves, and were modeling the new behaviors – was an important part of the
implementation success. The study also showed that as the priorities changed and
leadership moved on to new initiatives, even reverting back to old ways in some
instances, a divide grew in the workforce. The support – with words and actions – is a
key factor for success.
3. Create measurable goals for the organization to strive for.
The change in this study was easy to measure in terms of reduced square footage,
reduced filing space, increased use of telework, etc. these were measures that had both
individual and organizational implications. Most of these measures were also tangible
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enough that an individual could judge their own success – is the individual utilizing less
square footage, less filing space, more telework? The ideal behaviors and benchmarks
were well defined and provided to employees as their benchmark of success. If looking
to build a learning culture or other similarly intangible goal, converting the ideal future
state into tangible behaviors and goals that employees can judge for themselves is going
to be a key for success.
4. Define the benefits of the end state in a way that everyone can measure.
Similar to goals that individuals in the organization can measure themselves, the
benefits need to be individualized as well. The benefits in this study were pivotal in
sustaining the change. They provided an immediate reinforcement of the behaviors and
gave each individual an incentive to adopt new behaviors. Especially if the change is less
tangible, the ability for all actors in an organization to be able relate to – and desire – the
benefits of the change will be an important part of any successful change.
5. Practice is key and may need to be guided initially.
Once the benefits and goals are clear, the organization may need help getting
jumpstarted in practicing the new behaviors. In this study, and experiential change
program was used to guide practice in a meaningful way. It was not the only way
employees were able to practice, but it was a way the change leaders could guide practice
and set up good norms and behaviors from the start. It also provided a resource for
employees as they were going through the transition. The same is true when looking at
any change that will require new behaviors from the organization.
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6. Encourage two-way communication to capture and respond to feedback.
Change is personal. Even organizational changes are subject to individual
reactions. The only way to be aware of, and adapt to, those reactions is to have a way to
capture and respond to feedback. One of the success factors in this study was the willing
ness of the change leaders to adjust messaging, tactics, and more in order to respond to
individual reactions to the change. This gave everyone a sense of being heard and acted
to empower employees, especially middle managers. This message of empowerment
then became critical to sustaining the change after leadership moved on to the next
initiative.
7. Be willing to adjust course in order to incorporate feedback.
While the ultimate goal in the change being studied never changed, the change
leaders were willing to adjust tactics, some timing and order of change initiatives, and
more to incorporate employee feedback. While this meant that the planning phase of the
change initiative was a little longer, it helped with long-term employee buy-in and
reducing the amount of employee resistance. Additionally, if listening to feedback
empowered the workforce, actually utilizing the feedback to make changes to the
approach empowered the workforce that much more. As change leaders, it is sometimes
hard to let go of the best-laid plans and adjust based on the whims of the employees.
However, letting go of that perception and engaging the workforce in designing their own
change program through the feedback process creates benefits that would otherwise not
exist.
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Recommendation for Practice - Managers
Figure 5.3 Recommendations for Practice - Managers
1. Understand your role – you are the key to sustained success in an organizational
change.
This research showed that managers are the keystone to a successfully sustained
change. Once all of the formal change initiatives are through and employees are left to
their own devices, this case study showed that it was up to the managers to help
employees continue to adjust and succeed post-change. As a manager, it is important to
recognize the role you play and empower yourself to be successful in that role. Keep
yourself educated about the initiative. Read the messaging that comes out about the
change. Talk to your peers about the positive and negative impacts of the change and
what you will need to do to keep your employees happy and performing well. Whether
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you initially agreed with the change or not, your responsibility to your employees is to
figure out how to succeed and keep moving forward, and support your employees to do
the same.
2. Translate impact and messaging to your employees.
Sometimes the messaging coming from the senior leadership is purposely vague
in order to apply to everyone. This can mean that the “so what” for a specific team may
not be clear. The manager’s responsibility is to translate those generic messages for the
team to make it real. Let your employees know how an organizational change will impact
them directly – what processes will change, what people (if any) are moving, etc. This
case study showed a change where the messaging was really well aligned and driven
down to the front line supervisor. This messaging was distributed at the front line
supervisor level because the organization determined that the employees were more
likely to open an email from their direct supervisor. Employees want to hear from the
people they work with on a daily basis. The manager plays a key role in helping make
sense of the change for his or her employees.
3. Avoid resisting the change in front of your employees.
Sometimes, change agents forget that managers are employees too. It is unlikely
that a manager will wholeheartedly support every organizational change that impacts
them throughout their career. However, resisting the change in front of the team can be
detrimental. As mentioned above, managers play a pivotal role in implementing and
sustaining the change. If the manager is seen resisting, even slightly, it sends a message
that breeds distrust in the change. The distrust remains even after the manager has gotten
onboard with the change. In this case study, there were managers that were just as
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resistant as some employees in the change. In order to engage the managers, the change
agents invited the managers to provide feedback and participate in creating elements of
the change program. By empowering the managers and giving them a place to express
their concerns, the resistance did not “infect” the employee population and the managers
were given the tools they needed to bring their people along with them.
4. Allow ample time to practice – and to fail.
This case study focused on a government agency that had a large portion of the
workforce that was not funded through appropriations. This meant that, just like a for-
profit business, the lost productivity when an employee is more concerned with a change
rather than a customer impacts the larger business. The “WAVE”, an experiential change
program to support employees, was designed to allow practice prior to the change so that
employees would not lose total focus on the customer during the change. Whether the
change initiative has a formal experiential change program or not, practicing the new
behaviors needed post-change can be a really powerful way for managers to support their
employees and empower them so they are more resilient throughout the change. Part of
practice is figuring out what works, and what does not work. This case study showed that
some things developed as norms in the practice stage were not sustained after the change.
Sometimes this was because other things had changed; other times it was because the
plan did not work in reality. Having the flexibility to adjust as needed and learn from the
practice – even when the idea did not work – is an important part of a successful change.
5. Align your messaging to the leadership message.
Message alignment was a critical success factor in this case study. Messaging
was so clearly aligned that it was part of the branding of the change. The common
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language that was used to talk about the change was a powerful way to get everyone on
the same page. Even if leadership is not aligning messaging about the change as closely,
the manager can accomplish some of the same benefits for their teams. Mentioned above
was the idea of interpreting the impact – the “so what” – for the team. Here, the
recommendation is to take the messaging about the change sent out by leadership and
using the same words as the communications are drafted for the team. Notice phrases,
justifications, and other words that the leadership uses to talk about the change. Use
those same phrases, justifications, and words as you craft your own messaging to inform
and direct your team. Using the same language can help brand the change and empower
employees to resonate more with senior leadership because the language is familiar.
Recommendation for Practice - Chief Information Officers
Figure 5.4 Recommendations for Practice - Chief Information Officers
1. Use the knowledge of agile development and apply it to change management.
The iterative, progressive nature of agile development mirrors the iterative,
collaborative nature of the implementation of change in this case study. While not a
perfect metaphor, the sprint-release-feedback-iterate process of agile development is
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similar to the process of developing a change management plan, soliciting and
incorporating feedback, and continuing to manage change with the improved plan.
Technology played a significant role in this case study, enabling the new behaviors that
were required post-change. As the CIO in an organization is looking at the possibility of
implementing an IT change, they would be served well by their understanding and
implementation of agile principles.
2. Ensure that the IT solution being introduced actually solves a problem that is visible
to the end user.
One of the findings in this research was that the self-evident benefits actually
served to help sustain the change once it got started. This is an important concept that the
Chief Information Officer can learn from. From a business perspective, information
technology is an enabler a business strategy. In this case study, the technology played an
important role in allowing the continued collaboration within a dispersed workforce. In
order for a change, especially a change in technology, to be successfully sustained, it is
important that it actually solves a problem and that value is shared with all employees. It
is also important that the value highlighted be a value that the employee can see and
measure for themselves. While it is true that the change in this research resulted in
reduced carbon footprint and a savings of tens of millions of taxpayer dollars, the benefits
that actually helped to sustain the change were the benefits employees could see and feel
on a daily basis. That does not make the environmental and financial benefits any less
important, it just means it is not as compelling for sustaining individual behavior on a day
to day basis.
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3. Allow for time to practice and adjust processes.
The first two recommendations relate to being collaborative in the change
management and solving a compelling problem for the end user. However, it is important
to remember that IT is a business process enabler. No matter how antiquated the
technology is, any IT tool or application in use has business processes that interact with
that tool. That means that no matter how collaborative, no matter how many problems it
solves, there is still going to be some resistance because a change in an IT tool most
likely includes a change in at least minor business processes that help the employee
accomplish their mission. Acknowledging this up front and incorporating time into the
schedule to allow for practice and the development of the new business processes will
help the actual change implementation go much more smoothly. In this case study, the
technology changes were just one part of a larger change. So, the process and practice
work was handled by the larger change management implementation. Even if the
technology change is a standalone change, allowing time for practice and process change
will make the change go that much more smoothly.
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Recommendation for Practice - Facility Managers
Figure 5.5 Recommendations for Practice - Facility Managers
1. Remember that space design does not occur in a vacuum. Think bigger.
One of the recommendations for future research in this study is to look at how
open space design interacts when also inhabited by a dispersed workforce. As discussed
below, most research around the benefits of open workspace has an underlying
assumption that the workforce comes into the office on a daily basis. This was not the
case in this case study. The needs for the space needed to be adjusted to allow for more
conference and collaborative space and less individual workstations because of the
nomadic quality of the workforce. So, as facility managers look at redesigning the space,
make sure to consider the big picture and not just the behavior of people who sit in the
space.
2. Moving employees is all about the details.
One of the data sources in this case study showed how important the detailed and
active management of the actual physical move was to the workforce. Table 4.3 shows
how the move was phased and conducted every weekend for six and a half months. The
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concept was that the employee packed everything up in a bin by Thursday afternoon
before the move, the employee then worked from home on Friday and, by the time they
showed up for work on Monday, the bins they had backed on Thursday were in their new
home, ready and waiting for them to unload them and get back to work. In addition to the
orchestrated ballet of the phased moves, there was also onsite support to help with any
issues that arose. This level of detailed management of the move was frequently pointed
to as one of the successful components that made the change overall so smooth. In
addition to the move itself, there was a concerted effort to support the reduction of stuff
prior to the move – there was support to help people scan and digitize documents, there
were additional burn bins and recycle bins to get rid of paper that could be disposed of,
and there was even a collection of all hoarded office supplies to help stock the centralized
supply room in the new location. Every detail was carefully thought through and actively
managed, providing a smooth transition for employees.
3. Invite stakeholders to participate in the design.
Architects do not know everything. Part of the iterative and collaborative nature
of the change in this study was to invite stakeholders to help define their needs with the
architecture firm. This was an important part of getting initial buy in from employees, in
addition to making sure the new space worked for the employees. Making sure that
stakeholder needs are solicited and that the architecture firm is open and willing to
making adjustments based on stakeholder feedback are important components of a
successful change the includes the work space.
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Recommendation for Practice - Internal Researchers
Figure 5.6 Recommendations for Practice - Internal Researchers
This case study was conducted by an internal researcher and was able to do so
successfully for a few specific reasons, as shared below. Note that the need for managing
bias was not included in these recommendations since that was covered at length in the
Trustworthiness section above.
1. Get approvals to do the research early in the process.
Most organizations will have their own internal approval process to do research
within the organization. One of the lessons learned for this case study was to get those
approvals early, because it can take longer than you expect, especially if research is not
typically done in the organization. The first hurdle this researcher came across was that
nobody was quite sure what the process was. That meant that the approval request
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bounced around from one leader to another, then to the legal department and back again
before finally getting approved. It was also important to get the approval from the
organization before getting any external review completed. The legal department in the
organization requested a few changes to the methodology that did not change anything
substantial, but might have caused an issue with the university’s review board had this
research not been deemed exempt.
2. If you do not have name recognition within the organization, use a sponsor that
does.
The next tip for internal researchers is the concept of name recognition. Because
of the position of this researcher, most employees in the employee population being
studied at least recognized my name and my position identified in the signature block.
This meant that the emails sent in support of this research were actually opened and the
acceptance rate for invitations to participate was high. If this is not the case, the
recommendation is to find an organizational sponsor who does have that recognition to
sponsor the research and allow his or her email to be used to send out invitations. At least
in the organization studied in this case study, everyone is bombarded with hundreds of
emails a day and emails from someone they recognize is much more likely to be opened
and read than an email from someone they do not know.
3. Use a model to organize the data.
While the OLSM model was not used as part of the change management process
itself, it was an incredibly helpful tool to organize all of the data after the fact. The good
news about being an internal researcher is the amount of access the researcher has to data.
The bad news is that all of that data can actually lead to a bit of overwhelm. Without a
188
model to act as the organizing framework, the sheer abundance of data can be hard to
manage. The model helps the research make decisions on the relevance of the data point,
how it should be organized, and helps to answer the research question. Just like the
OLSM in this case study, the model should meet several criteria (Burke & Noumair,
2015). First, the researcher should choose a model that they fully understand and that is
comfortable to work with. Second, the chosen model should fit the organization being
researched as closely as possible. And finally, the model should be comprehensive
enough to facilitate the collection of data to address the research question.
4. Make sure you tell the organization what is in it for them.
Doing internal research can be a powerful win-win scenario for the researcher and
the organization. However, some organizations are hesitant to agree to be a research cite
at first. To help the organization approve the request, make sure to define explicitly the
benefits they will receive. In this case, the researcher agreed to provide a synopsis of the
findings to the organization. This synopsis would provide practical implications to the
study and help improve future change management initiatives. The benefit provided to
the organization will be different, depending on the type of research and the research
question being explored. However, finding a way to offer a practical benefit to the
organization in exchange for being a research cite is a great way to get organizational
approval for the study.
5. Recognize that participating in your study is not billable work.
One of the reasons for providing additional practical benefits to the organization
in the previous recommendation is because the organization is giving the researcher
permission to distract a certain number of employees from their daily work. Participating
189
in research is not “billable” work – it is not work that they are traditionally paid for or the
directly supports the mission. As the data collection plan is developed, keep this fact front
of mind. In this case study, the research held interviews and focus groups mostly on
Fridays, a slower day of the week. Capturing as much data as possible around the lunch
hour prevents a conflict between data collection and the employee’s mission-oriented
work. The organization is much more likely to approve the research, and appreciate the
results, if the data collection is not disruptive to the core business.
Recommendations for Future Research
Given the conclusions and interpretations of this case study, there are several
ways this topic could be explored further in future research. The details of the future
research recommendations are outlined below.
Table 5.3
Recommendations for Future Research
Recommendations for Future Research
1. Explore the Impact of a Dispersed Work Environment on Organizational Learning and Change
2. Use Social Network Analysis to Identify the Change in the Depth and Breadth of Networks After Moving to a Dispersed Work Environment
3. Conduct Action Research to Test the Conceptual Model to Augment OLSM (Table 5.2) Helps with a Successful Transformation
4. Explore the Impact of a Dispersed Work Environment on Open Space Office Design
5. Compare the Transformation to an Open Office Space Design and/or Dispersed Work Environment Across Industries
190
1. Explore Impact of Dispersed Work Environment on Organizational Learning and
Change
This case study focused on sustaining organizational learning and change over
time, but did not specifically focus on the impact the dispersed work environment had on
the workforce’s ability to learn and change. Since one of the conclusions was the need to
have messaging and implementation closely aligned and centralized, it would be
interesting to examine how being in a dispersed work environment impacts the ability to
centralize and align and if that, in turn, impacts organizational learning and change.
Research could again focus on a specific case, multiple cases, or on employees’
experiences at the individual level.
2. Use Social Network Analysis to Identify the Change in the Depth and Breadth of
Networks after Moving to a Dispersed Work Environment
It would be interesting to explore how the breadth and depth of the employee
networks changed throughout this transformation. While social network analysis has been
around in its current form since the 1970s, and in a more simplistic form since the 1930s,
advances in social network analysis have been quite rapid, mostly with an aim to make
social network analysis accessible to those with a more limited mathematical background
(Scott, 2017).
Several researchers have been recently taking on the examination of
organizational learning through various social network analyses (Skerlavaj, Dimovski, &
Desouza, 2010; Vohra & Thomas, 2016; Zappa & Robins, 2016). Skerlavaj et al. (2010)
drew on concepts from cognitive theories, theories of homophily and proximity, theories
of social exchange, the theory of generalized exchange, small-worlds theory, and social
191
process theory to study patterns and structures of intra-organizational learning networks.
Vohra and Thomas (2016) argue that social network theory can be used to “capture
organizational learning at multiple levels, to capture relational data (expressed as linkages
between actors), and can yield actionable insights for changes within the organization"
(p. 587).
Since organizational learning, especially through the lens of a systems view
model, like the OLSM, is based on reflecting, adapting, and learning based on
interactions with internal and external information (presumably information from
people), looking at the OLSM with a focus on the social networks might produce some
information that would be really compelling for scholar-practitioners who are looking to
use this type of information in setting organizations, and the people within them, up for
success.
3. Conduct Action Research to Test the Conceptual Model to Augment OLSM
This case study resulted in a conceptual model to augment the OLSM model by
incorporating the element of time and defining how each dyad should look at various
time periods during, after, and long after the change intervention (see Table 5.2).
Conducting research to test this conceptual model to see if the concepts and
recommendation is sound would add value to the literature. Testing a change model
concept is hard to do after the fact. This conceptual idea is best tested through an action
learning intervention where the OLSM change model is utilized and evaluated in real
time.
192
4. Impact of Dispersed Work Environment on Open Space Office Design
The majority of current literature on open space design makes the underlying
assumption that employees regularly come into the office (Andriopoulos & Gotsi, 2001;
Appel-Meulenbroek, Groenen, & Janssen, 2011; Barber, Laing, & Simeone, 2005;
Coradi, Heinzen, & Boutellier, 2015a, 2015b). This case study highlighted the fact that
moving to an open office space concept while at the same time moving to a more
dispersed work environment had unique challenges. Looking at the relationship between
these two concepts would be helpful and relevant to the current workforce trends.
Since the literature is fairly aligned with the benefits and potential drawbacks with
open office space, research using those elements could be either quantitative through
surveys or more qualitative through interviews and focus groups. Research could either
focus on a specific case, could conduct a multiple case study to explore the differences
between multiple organizations going through similar changes, or could focus more on
the individual level by surveying or interviewing employees who have experienced that
type of change, regardless of the organization.
5. Compare the Transformation to an Open Office Space Design and/or Dispersed
Work Environment across Industries
This case study focused specifically on one organization in the U.S. Federal
Government. While there may be some similarities between the federal government and
large, bureaucratic organizations, small businesses or organizations in different industries
may not have the same experience. One of the comments the researcher heard from
leadership during the change as well as during the data collection for this case study was
that private companies would not have spent as much time and effort on the change,
193
compared to our efforts. While this is just anecdotal evidence, comparing the
experiences of this type of change in different industries would provide a balance of
information that would serve a larger audience than this specific historical case study can.
Concluding Remarks
This research started as an exploration into a planned change to see how, and to
what extent, organizational learning was sustained after a planned change. At the end, it
is clear to the researcher that the change was, in fact, successful in most areas. Some of
the success was by luck; some by design. However, through this in-depth, historical case
study, the researcher has identified several conclusions that supported the sustainability
of organizational learning and change, a couple of conclusions that interfered with the
sustainability of organizational learning and change, a proposed conceptual model to
augment the OLSM theory to incorporate change and time, and a handful of implications
for practice to help inform future change efforts. There are four main areas where this
study has made an impact on theory and practice.
First, this historical case study provided a unique look into developing and
sustaining organizational learning in a government agency. Whether for access or
logistical reasons, there are very few studies that explore an organization through the
development and sustaining periods of organizational learning or change. This case
study did just that. It gave a rare look into how when viewed through OLSM subsystems,
organizational learning morphs over time as the organization and its leadership move
further away from the actual change implementation.
Second, this research extends the scholarly research on organizational learning
and change by using a systems view. A large portion of the research on organizational
194
learning and change focuses on just one or two variables within a larger system. While
this is helpful, the paradox scholars discuss how organizational change cannot be
understood alone (Battilana & Casciaro, 2012); that coping with the paradox of change
relates to the process of single-, double-, and triple-loop learning (Luscher & Lewis,
2008); and that perception - leading to individual understanding and conceptualization,
and then leading to organizational knowledge - are both occurring in organizations at the
same time (Tsoukas & Chia, 2002). In this world of paradox, it is important to look at
organizational learning and change through the systems lens, like this study has, to be
able to capture the nuances of the paradox.
Third, this historical case study looked at a change initiative over an extended
period of time, covering over five years during and after the change. Pettigrew, et al.
(2001) mentions that one of the six areas where research is lacking is in research that
incorporates time, process, history, and action. By exploring how the organizational
learning process evolved over time, this case study did address this gap and helped to
bridge the gap between research and practice.
Finally, the exploration of change in federal organizations is a context that is not
widely documented. Whether because of access to conduct the research or because of
another reason, exploring a change and learning initiative within the federal government
context is not common in literature. And, when there are studies to be found, they are
more likely to be studies that are not from a systems or historical view. Because of the
historical nature and systems lens used, this study provides a rare look into a successful
change in a federal government organization. Mohrman and Lawler (2012) state that in
order to achieve relevance, researchers need to work with, and learn from, practitioners
195
and colleagues from other disciplines. The hope of this researcher is that this historical
look into an organizational learning and change initiative provides insights in this way.
This study was designed to address gaps between theory and practice, as well as
gaps in the literature, based on the identified areas of this study’s significance. “Research
is used when it connects to practice and fits the context of practitioners’ experience”
(Mohrman & Lawler, 2012, p. 49). By addressing the gaps identified in this study, the
findings are more relevant and actionable for other government agencies looking to
undergo the same transformation. Ultimately, the hope of this researcher is that there are
both scholarly and pragmatic “ah-ha” moments in this study that can fuel future research,
as well as other successful organizational learning and change initiatives for practitioners.
196
References
Aarons, G. A., Wells, R. S., Zagursky, K., Fettes, D. L., & Palinkas, L. A. (2009).
Implementing evidence-based practice in community mental health agencies: A
multiple stakeholder analysis. American Journal of Public Health, 99(11), 2087-
95.
Abel, C. F., & Sementelli, A. J. (2005). Evolutionary critical theory, metaphor, and
organizational change. Journal of Management Development, 24(5), 443-458.
Adams, J. R. (2009). Using Winnie the Pooh characters to illustrate the transactional
analysis ego states. Journal of Creativity in Mental Health, 4(3), 237-248.
Adenfelt, M., & Lagerström, K. (2006). Enabling knowledge creation and sharing in
transnational projects. International journal of project management, 24(3), 191-
198.
Adler, P. & Heckscher, C. (2013). The collaborative, ambidextrous Enterprise/La
empresacolaborativa y ambidiestra.Universia Business Review, (40), 34-51.
Aggestam, L. (2006). Learning organization or knowledge management: Which came
first, the chicken or the egg? Information Technology and Control, 35(3), 295-
302.
Aitken, L. (2012). Improving the translation of evidence into practice. International
Journal of Nursing Practice, 18, 3.
Akgün, A. E., Byrne, J. & Keskin, H. (2007). Organizational intelligence: A structuration
view. Journal of Organizational Change Management, 20(3), 272-289.
197
Akhtar, N. & Khan, R.A. (2011). Exploring the paradox of organizational learning and
learning organization. Interdisciplinary Journal of Contemporary Research in
Business, 2(9), 257-270.
Alänge, S., & Steiber, A. (2009). The board's role in sustaining major organizational
change. International Journal of Quality and Service Sciences, 1(3), 280-293.
Albert, M., & Picq, T. (2004). Knowledge-based organizations: Perspectives from San
Francisco Bay Area companies. European Journal of Innovation Management,
7(3), 169-177.
Alpander, G. G., & Lee, C. R. (1995). Culture, strategy and teamwork: The keys to
organizational change. Journal of Management Development, 14(8), 4-18.
Amburgey, T. L., Kelly, D. & Barnett, W. P. (1993). Resetting the clock: The dynamics
of change and failure. Administrative Science Quarterly. 38, 51-73.
Ament, S. M. C., Gillissen, F., Maessen, J. M. C., Dirksen, C. D., van der Weijden, T., &
von Meyenfeldt, M. F. (2012). Sustainability of healthcare innovations (SUSHI):
Long term effects of two implemented surgical care programmes (protocol). BMC
Health Services Research, 12, n/a-423.
Andriopoulos, C., & Gotsi, M. (2001). 'Living' the corporate identity: Case studies from
the creative industry. Corporate Reputation Review, 4(2), 144-154.
Appel-Meulenbroek, R., Groenen, P., & Janssen, I. (2011). An end-user's perspective on
activity-based office concepts. Journal of Corporate Real Estate, 13(2), 122-135.
Argote, L., & Miron-Spektor, E. (2011). Organizational learning: From experience to
knowledge. Organization Science, 22(5), 1123-1137.
198
Argyris, C. & Schön, D.A. (1978). Organizational learning: A theory of action
perspective. London: Addison-Wesley.
Argyris, C. (1982). Reasoning, learning, and action: Individual and organizational.
Jossey-Bass.
Armstrong, J. S. (1982). Strategies for implementing change: An experiential approach.
Group & Organization Studies (pre-1986), 7(4), 457-475.
Auster, E. R., & Ruebottom, T. (2013). Navigating the politics and emotions of change.
MIT Sloan Management Review, 54(4), 31-36.
Austin, J., & Currie, B. (2003). Changing organisations for a knowledge economy: The
theory and practice of change management. Journal of Facilities Management,
2(3), 229-243.
Bain, A., Walker, A., & Chan, A. (2011). Self-organisation and capacity building:
Sustaining the change. Journal of Educational Administration, 49(6), 701-719.
Barber, C., Laing, A., & Simeone, M. (2005). Global workplace trends: A North
American and European comparison. Journal of Corporate Real Estate, 7(3),
210-221.
Barley, S. R. & Tolbert, P. S. (1997). Institutionalism and structuration; Studying the
links between action and institution. Organization Studies, 18(1), 93-117.
Barnes, M. (2013). Experiential learning: Helping to facilitate organizational change.
Unpublished manuscript, George Washington University, Washington, DC.
Bartunek, J. M., Rousseau, D. M., Rudolph, J. W., & DePalma, J. A. (2006). On the
receiving end: Sensemaking, emotion, and assessments of an organizational
199
change initiated by others. The Journal of Applied Behavioral Science, 42(2),
182-206.
Bass, B. M. & Riggio, R. E. (2006). Transformational leadership (2nd ed.). Mahwah, NJ:
Lawrence Erlbaum Associates Inc/Psychology Press.
Battilana, J. & Casciaro, T. (2012). Change agents, networks, and institutions: A
contingency theory of organizational change. Academy of Management Journal,
55 (2), 381-398.
Bean, C. J., & Eisenberg, E. M. (2006). Employee sensemaking in the transition to
nomadic work. Journal of Organizational Change Management, 19(2), 210-222.
Beer, M. & Nohira, N. (2000). Breaking the code of change. Harvard Business School
Press.
Beverungen, D. (2014). Exploring the interplay of the design and emergence of business
processes as organizational routines. Business & Information Systems
Engineering, 6(4), 191-202.
Bin Taher, N. A., Krotov, V., & Silva, L. (2015). A framework for leading change in the
UAE public sector. International Journal of Organizational Analysis, 23(3), 348-
363.
Bloodgood, J. M. & Bongsug, C. (2010). Organizational paradoxes: Dynamic shifting
and integrative management. Management Decision, 48(1), 85-104.
Boeteng, R. (2011). Do organizations learn when employees learn: The link between
individual and organizational learning. Development and Learning in
Organizations, 25(6), 6-9.
Brown, A. D. & Starkey, K. (2000). Organizational identity and learning: A
200
psychodynamic perspective. Academy of Management Review, 25(1), 102-120.
Brown, A. D. (2000). Making sense of inquiry sensemaking. Journal of Management
Studies, 37(1).
Brown, A. S. (2009). BUILDING a place for INNOVATION. Mechanical Engineering,
131(11), 38-43.
Brown, C., Smith, P., Arduengo, N., & Taylor, M. (2016). Trusting telework in the
federal government. The Qualitative Report, 21(1), 87-101.
Brown, S. L. & Eisenhardt, K. M. (1997). The art of continuous change: Linking
complexity theory and time-paced evolution in relentlessly shifting organizations.
Administrative Science Quarterly, 42(1), 1-34.
Bruns, H. (2014). HR development in local government: How and why does HR strategy
matter in organizational change and development? Business Research, 7(1), 1-49.
Buchanan, D., Fitzgerald, L., Ketley, D., Gollop, R., Jones, J. L., Lamont, S. S. &
Whitby, E. (2005). No going back: A review of the literature on sustaining
organizational change. International Journal of Management Reviews, 7(3), 189-
205.
Buckley, W. (1968). Society as a complex adaptive system. In W. Buckley (Ed.), Modern
systems research for the behavioral scientist (pp. 490-513). Chicago, IL: Aldine.
Burke, W. W. & Noumair, D. A. (2015). Organization development: A process of
learning and changing. FT Press.
Burke, W. W. (2011). A perspective on the field of organization development and
change: The Zeigarnik effect. The Journal of Applied Behavioral Science, 47(2),
143-167.
201
Burnes, B. (2004). Kurt Lewin and the planned approach to change: a re‐appraisal.
Journal of Management studies, 41(6), 977-1002.
Burnes, B. (2009). Managing change, 5th ed, London: FT/Prentice Hall.
By, R. T., Hughes, M., & Ford, J. (2016). Change leadership: Oxymoron and myths.
Journal of Change Management, 16(1), 8-17.
Callahan, J. L. (2004). Reversing a conspicuous absence: Mindful inclusion of emotion in
structuration theory. Human Relations, 57(11), 1427-1448.
Candy, V. (2013). Managing Planned Change: The Transition From A Nationalized
Organization To A Fragmented Network. American Journal of Health
Sciences, 4(2), 55.
Cannaerts, N., Segers, J., & Henderickx, E. (2016). Ambidextrous design and public
organizations: A comparative case study. The International Journal of Public
Sector Management, 29(7), 708-724.
Cao, G. & McHugh, M.A. (2005). Systemic view of change management and its
conceptual underpinnings. Systemic Practice and Action Research, 18(5), 475-
490.
Carleton, J. R., & Lineberry, C. (2004). Achieving post-merger success: a stakeholder's
guide to cultural due diligence, assessment, and integration. John Wiley & Sons.
Carter, T. M. (2014). Assessment and change leadership in an academic library
department: A case study. Reference Services Review, 42(1), 148-164.
Casebeer, A., Popp, J., & Scott, C. (2009). Positively deviant networks: What are they
and why do we need them? Journal of Health Organization and Management,
23(6), 610-26.
202
Casey, A. (2005). Enhancing individual and organizational learning: A sociological
model. Management learning, 36(2), 131-147.
Chalofsky, N. (2004). Human and Organization Studies: The Discipline of HRD. Online
Submission.
Chapman, J. A. (2002). A framework for transformational change in
organisations. Leadership & Organization Development Journal, 23(1), 16-25.
Chenhall, R. H., & Langfield-Smith, K. (2003). Performance measurement and reward
systems, trust, and strategic change. Journal of Management Accounting
Research, 15, 117-143.
Chidiac, M. (2013). An organisational change approach based on gestalt psychotherapy
theory and practice. Journal of Organizational Change Management, 26(3), 458-
474.
Chin, R. & Benne, K. D. (1989). General strategies for effecting changes in human
systems. In W. G. Bennis, K. D. Benne & R. Chin (Eds.), The planning of change
(4th ed., pp. 22-45). Fort Worth, TX: Harcourt Brace Jovanovich College
Publishers.
Clark, B. R. (2003). Sustaining change in universities: Continuities in case studies and
concepts. Tertiary Education and Management, 9(2), 99.
Clark, C. E., Cavanaugh, N. C., Brown, C. V., & Sambamurthy, V. (1997). Building
change-readiness capabilities in the IS organization: Insights from the Bell
Atlantic experience. MIS Quarterly, 21(4), 425-455.
203
Clark, E., & Geppert, M. (2011). Subsidiary integration as identity construction and
institution building: A political sensemaking approach. Journal of Management
Studies, 48(2), 395-416.
Clarke, M., & Meldrum, M. (1999). Creating change from below: Early lessons for
agents of change. Leadership & Organization Development Journal, 20(2), 70-80.
Clarke, V. & Braun, V. (2014) Thematic analysis. In A. C. Michalos (Ed.),
Encyclopaedia of Quality of Life and Well-BeingResearch (pp. 6626-6628).
Springer, Dordrecht, Netherlands: Springer.
Coburn, C. E. (2003). Rethinking scale: Moving beyond numbers to deep and lasting
change. Educational Researcher, 32(6), 3-12.
Collins, D. (2005). Book Review: Making Sense of Change. Organization, 12(1), 140-
142.
Cooper, D. (2001). Against the current: Social pathways and the pursuit of enduring
change. Feminist Legal Studies, 9(2), 119-148.
Cope, M. (2003). The seven C’s of consulting (2nd ed.). London: Financial
Times/Prentice-Hall
Coradi, A., Heinzen, M., & Boutellier, R. (2015a). A longitudinal study of workspace
design for knowledge exploration and exploitation in the research and
development process. Creativity and Innovation Management, 24(1), 55-71.
Coradi, A., Heinzen, M., & Boutellier, R. (2015b). Designing workspaces for cross-
functional knowledge-sharing in R&D: The "co-location pilot" of novartis.
Journal of Knowledge Management, 19(2), 236-256.
Corley, K. G. & Gioia, D. A. (2004). Identity ambiguity and change in the wake of a
204
corporate spin-off. Administrative Science Quarterly, 49, 173-208.
Cornelissen, J. P. (2012). Sensemaking under pressure: The influence of professional
roles and social accountability on the creation of sense. Organization
Science, 23(1), 118-137.
Creswell, J. W. (2012). Educational research (4th ed.). Boston, MA: Pearson.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods
approaches (4th ed.). Washington, DC: Sage.
Crossan, M. M., Lane, H. W., & White, R. E. (1999), An organizational learning
framework: From intuition to institution, Academy of Management Review, 24(3),
522-27.
Crotty, M. (2011). The foundations of social research: Meaning and perspective in the
research process. Washington, DC: Sage.
Curry, B., Lowery, L. M., & Loftus, D. (2010). What a community will bear: leadership
and the change process. International Journal of Educational Management, 24(5),
404-417.
Cyert, R. M., & March, J. G. (1963). A behavioral theory of the firm. Englewood Cliffs,
NJ, 2, 169-187.
Daft, R. L., & Weick, K. E. (1984). Toward a model of organizations as interpretation
systems. Academy of management review, 9(2), 284-295.
Dale, B. G., Boaden, R. J., Wilcox, M., & McQuater, R. E. (1997). Sustaining total
quality management: what are the key issues?. The TQM Magazine, 9(5), 372-
380.
Danowitz, M. A., Hanappi-Egger, E., & Hofmann, R. (2009). The development and
205
implementation of a diversity management curriculum. The International Journal
of Educational Management, 23(7), 590-603.
Datnow, A., & Stringfield, S. (2000). Working together for reliable school
reform. Journal of Education for Students Placed at Risk (JESPAR), 5(1-2), 183-
204.
De Bernardis, L., & Giustiniano, L. (2015). Evolution of multiple organisational
identities after an M&A event: A case study from Europe. Journal of
Organizational Change Management, 28(3), 333-355.
Denscombe, M. (2014). The good research guide: for small-scale social research
projects. McGraw-Hill Education (UK).
Dewey, J. (1938). Experience and Education. New York, NY: Touchstone.
DiBella, A. J. & Nevis, E. (1998). How organizations learn: An integrated strategy for
building learning capability. San Francisco: Jossey-Bass.
DiBella, A. J. (1995). Developing learning organizations: A matter of perspective.
Academy of Management Journal, 287-290.
Dixon, N. (1992). Organizational learning: A review of the literature with implications
for HRD professionals. Human Resource Development Quarterly, 3(1), 29-49.
Dodgson, M. (1993). Organizational learning: a review of some literatures. Organization
studies, 14(3), 375-394.
Duffy, F. M. (2003). Dancing on ice: Navigating change to create whole-district school
improvement. Organization Development Journal, 21(1), 36.
Dumay, J. C. (2008). Narrative disclosure of intellectual capital. Management Research
News, 31(7), 518-537.
206
Easterby-Smith, M. (1997). Disciplines of organizational learning: contributions and
critiques. Human relations, 50(9), 1085-1113.
Easterby-Smith, M., & Lyles, M. (2011). The evolving field of organizational learning
and knowledge management. Handbook of Organizational Learning and
Knowledge Management (1-20). Chichester: Wiley.
Easterby-Smith, M., Araujo, L., & Burgoyne, J. (Eds.). (1999). Organizational learning
and the learning organization: Developments in theory and practice. Sage.
Easterby-Smith, M., Burgoyne, J., & Araujo, L. (Eds.). (1999). Organizational learning
and the learning organization: Developments in theory and practice. Thousand
Oaks, CA: Sage.
Edwards, T. (2000). Innovation and organizational change: Developments towards an
interactive process perspective. Technology Analysis & Strategic Management,
12(4), 445-464.
Ekstrand, M., & Damman, S. (2016). Front and backstage in the workplace. Journal of
Facilities Management, 14(2), 188-202.
Espedal, B. (2006). Do organizational routines change as experience changes? The
Journal of Applied Behavioral Science, 42(4), 468-490.
Feldman, M. S. (2004). Resources in emerging structures and processes of change.
Organization Science, 15(3), 295-309.
Finger, M., & Brand, S. B. (1999). The concept of the learning organization applied to
the transformation of the public sector: Conceptual contributions for theory
development. Organizational learning and the learning organization:
Developments in theory and practice, 130-156.
207
Fiol, C. M., & Lyles, M. A. (1985). Organizational learning. Academy of management
review, 10(4), 803-813.
Ford, M. W. & Greer, B. M. (2005). Implementing planned change: An empirical
comparison of theoretical perspectives. Mid - American Journal of Business,
20(2), 59-69.
Ford, R. (2006). Organizational learning, change and power: toward a practice-theory
framework. The Learning Organization, 13(5), 495-524.
Forrester, J. P., & Adams, G. B. (1997). Budgetary reform through organizational
learning: Toward an organizational theory of budgeting. Administration &
Society, 28(4), 466-488.
Fry, B. & Griswold, J.S. (2003). Defining and implementing the learning organization:
Some strategic limitations. Public Administration Quarterly, 27(3), 311-335.
Garcia, D., & Gluesing, J. C. (2013). Qualitative research methods in international
organizational change research. Journal of Organizational Change
Management, 26(2), 423-444.
Garcias, F., Dalmasso, C., & Sardas, J. (2015). Paradoxical tensions in learning
processes: Exploration, exploitation and exploitative learning. M@n@gement,
18(2), 156-178.
Garvin, D. A., Edmondson, A. C., & Gino, F. (2008). Is yours a learning organization?.
Harvard business review, 86(3), 109.
Gersick, C. (1994). Pacing strategic change: The case of a new venture. Academy of
Management Journal, 37(1), 9-45.
208
Gersick, C. J. (1991). Revolutionary change theories: A multilevel exploration of the
punctuated equilibrium paradigm. Academy of Management Review, 16(1), 10-36.
Giddens, A. (1976). New Rules of Sociological Method. London: Hutchinson.
Giddens, A. (1979). Central Problems in Social Theory. Basingstoke, UK: Macmillan.
Giddens, A. (1984). The constitution of society. Los Angeles: University of California
Press.
Giddens, A. (1991). Structuration theory. Past, Present and Future. In: Bryant, C. and
Jary, D.(eds.). Giddens’ Theory of Structuration. A Critical Appreciation.
London: Routledge.
Giddens, A. (1993). New Rules of Sociological Method (2nd ed.). Cambridge, UK: Policy
Press.
Gilstrap, D. (2010). Complexity and philosophy: Critical reflection as an irreversible
process: Epicurus, the arrow of time, and an ontology for organizational learning
phenomena. Emergence: Complexity and Organization, 12(4), 95-117.
Gioia, D. A., & Chittipeddi, K. (1991). Sensemaking and sensegiving in strategic change
initiation. Strategic management journal, 12(6), 433-448.
Gleick, J. (2000). Faster. New York, NY: Hachette
Glynn, M. A., Barr, P. S., &Dacin, M. T. (2000). Pluralism and the problem of variety.
Academy of Management Review, 25(4), 726-734.
Goldberg, K. (2012). Reflective journaling: Building bridges between theory and
practice. Journal of Homeland Security Education, 1(1), 63-69.
209
Golembiewski, R. T., Billingsley, K., & Yeager, S. (1976). Measuring change and
persistence in human affairs: types of change generated by OD designs. Journal
of Applied Behavioral Sciences, 12, 33-57.
Graham, P., & Kormanik, M. (2004). Bridging the conference gap: A challenge to
enhance the research–practice dialogue. Human Resource Development
International, 7(3), 391-393.
Greiner, L. E. (1967). Successful organization change: The ingredients that make it stick.
Management Review, 56(8), 48-55.
Grieves, J. (2000). Images of change: The new organizational development. Journal of
Management Development, 19(5), 396-406.
Hammer, M. & Champy, J. (1993). Reengineering the corporation: A manifesto for
business revolution. London: Nicholas Brearly.
Hannan, M.T. & Freeman, J. (1984). Structural inertia and organizational change.
American Sociological Review, 49(2), 149-164.
Hargreaves, A. (2007). Sustainable professional learning communities. Professional
learning communities: Divergence, depth and dilemmas, 181-195.
Hargreaves, A., & Fink, D. (2006). The ripple effect. Educational leadership, 63(8), 16-
20.
Hazlett, S. & Hill, F. (2000). Policy and practice: An investigation of organizational
change for service quality in the public sector in northern Ireland. Total Quality
Management, 11(4-6), S515-S520.
210
Hedberg, B. (1981). How organizations learn and unlearn? In Nystrom, P.C. and
Starbuck, W.H. (eds.). Handbook of organizational design. London: Oxford
University Press.
Helms Mills, J., Thurlow, A., & Mills, A. J. (2010). Making sense of sensemaking: the
critical sensemaking approach. Qualitative Research in Organizations and
Management: An International Journal, 5(2), 182-195.
Hennink, M. M. (2014). Focus group discussions: Understanding qualitative research.
New York, NY: Oxford.
Hernes, T., & Maitlis, S. (Eds.). (2010). Process, sensemaking, and organizing (Vol. 1).
Oxford University Press.
Hilden, S. & Tikkamäki, K. (2013). Reflective practice as a fuel for organizational
learning. Administrative Sciences, 3(3), 76-95.
Holmqvist, M. (2004). Experiential learning processes of exploitation and exploration
within and between organizations: An empirical study of product development.
Organization Science, 15(1), 70-81.
Howard, D. C., & Howard, P. A. (2000). Towards sustainability of human services:
Assessing community self-determination and self-reliance. The Canadian Journal
of Program Evaluation, 15(1), 25.
Howard-Grenville, J. A. (2005). The persistence of flexible organizational routines: The
role of agency and organizational context. Organization Science, 16(6), 618-636.
Hsu, P. & Sharma, P. (2006). A systemic plan of technology integration. Journal of
Educational Technology & Society, 9(4).
211
Huber, G. P. (1991). Organizational learning: The contributing processes and the
literatures. Organization science, 2(1), 88-115.
Hughes, M. (2011). Do 70% of all organizational change initiatives really fail? Journal of
Change Management. 11 (4). 451-464.
Hussenot, A. (2008). Between structuration and translation: An approach of ICT
appropriation. Journal of Organizational Change Management, 21(3), 335-347.
Hylmö, A. (2006). Telecommuting and the contestability of choice: Employee strategies
to legitimize personal decisions to work in a preferred location. Management
Communication Quarterly, 19(4), 541-569.
Jacobs, C. D., & Heracleous, L. T. (2006). Constructing shared understanding: The role
of embodied metaphors in organization development. The Journal of Applied
Behavioral Science, 42(2), 207-226.
Jacobs, R. L. (2002). Institutionalizing organizational change through cascade
training. Journal of European Industrial Training, 26(2/3/4), 177-182.
Jansson, N. (2013). Organizational change as practice: A critical analysis. Journal of
Organizational Change Management, 26(6), 1003-1019.
Jansson, N. (2014). Discourse phronesis in organizational change: a narrative
analysis. Journal of Organizational Change Management, 27(5), 769-779.
Jian, G. (2007). Unpacking unintended consequences in planned organizational change:
A process model. Management Communication Quarterly, 21(1), 5-11, 13-28.
Johnson, R.B. (1997). Examining the validity structure of qualitative research. Education,
118(2), 282 – 292.
212
Johnston, J. A. (1990). Building and sustaining change in the culture of secondary
schools. Educational Leadership, 47(8), 46-48.
Jones, C. (2005). Firm transformation: Advancing a Darwinian perspective. Management
Decision, 43(1), 13-25.
Jørgensen, H. H., Owen, L., & Neus, A. (2009). Stop improvising change management!
Strategy & Leadership, 37(2), 38-44.
Juciute, R. (2009). ICT implementation in the health-care sector: Effective stakeholders'
engagement as the main precondition of change sustainability. AI & Society,
23(1), 131-137.
Judge, W. Q. & Blocker, C. P. (2008). Organizational capacity for change and strategic
ambidexterity. European Journal of Marketing, 42(9/10), 915-926.
Julian, D. A., & Kombarakaran, F. (2006). Assessment of quality of outcomes within a
local United Way organization: Implications for sustaining system level
change. American journal of community psychology, 38(3-4), 153-164.
Kahn, L., Hurth, J., Kasprzak, C. M., Diefendorf, M. J., Goode, S. E., & Ringwalt, S. S.
(2009). The national early childhood technical assistance center model for long-
term systems change. Topics in Early Childhood Special Education, 29(1), 24-39.
Kamensky, J. M. (1996). Role of the "reinventing government" movement in federal
management reform. Public Administration Review, 56(3), 247.
Kaplan, S. A., Calman, N. S., Golub, M., Ruddock, C., & Billings, J. (2006). Fostering
organizational change through a community-based initiative. Health promotion
practice, 7(3_suppl), 181S-190S.
213
Karataş‐Özkan, M., & Murphy, W. D. (2010). Critical theorist, postmodernist and social
constructionist paradigms in organizational analysis: A paradigmatic review of
organizational learning literature. International Journal of Management Reviews,
12(4), 453-465.
Karp, T. (2004). Learning the steps of the dance of change: Improving change
capabilities by integrating futures studies and positive organisational scholarship.
Foresight : The Journal of Futures Studies, Strategic Thinking and Policy, 6(6),
349-355.
Karp, T. (2006). Transforming organisations for organic growth: The DNA of change
leadership. Journal of Change Management, 6(1), 3-20.
Karrer, D. & Fleck, D. (2015). Organizing for ambidexterity: A paradox-based typology
of ambidexterity-related organizational states. Brazilian Administration Review,
12(4), 365-I.
Katz, D. & Kahn, R. L. (1978). The social psychology of organizations (2nded.). New
York (NY): John Wiley & Sons.
Keefer, J., & Yap, R. (2007). Is HRD research making a difference in practice?. Human
Resource Development Quarterly, 18(4), 449-455.
Keller, S. & Aiken, C. (2009). The inconvenient truth about change management.
McKinsey and company, retrieved October 4, 2014 from:
http://www.mckinsey.com/App_Media/Reports/Financial_Services/The_Inconven
ient_Truth_About_Change_Management.pdf
Keyton, J. (2003). Teaching a pig to sing? Management Communication Quarterly,
16(3), 453-458.
214
Kezar, A. (2013). Understanding sensemaking/sensegiving in transformational change
processes from the bottom up. Higher Education, 65(6), 761-780.
Kilduff, M. & Dougherty, D. (2000). Change and development in a pluralistic world: The
view from the classics. Academy of Management Review, 25(4), 777-782.
Kim, G. & Huh, M. (2015). Exploration and organizational longevity: The moderating
role of strategy and environment. Asia Pacific Journal of Management, 32(2),
389-414.
Kim, S. & Yoon, G. (2015). An innovation-driven culture in local government: Do senior
manager's transformational leadership and the climate for creativity matter?
Public Personnel Management, 44(2), 147-168.
Klarner, P. & Raisch, S. (2013). Move to the beat-rhythms of change and firm
performance, Academy of Management Journal, 56(1), 160-184.
Knapp-Philo, J., Corso, R. M., Brekken, L. J., & Heal, H. B. (2004). Training to make
and sustain change: The Hilton/Early head start program. Infants and Young
Children, 17(2), 171-183.
Knudstorp, J. V., Maskus, K., Teece, D., & Christensen, B. J. (2017). Business on
Globalization—A Panel. In Globalization (pp. 587-600). Springer Berlin
Heidelberg.
Koch, H. (1992). Sustaining commitment. Managing Service Quality, 2(3), 157.
Kontoghiorghes, C., Awbrey, S., & Feurig, P. (2005). Examining the relationship
between learning organization characteristics and change adaptation, innovation,
and organizational performance. Human Resource Development Quarterly, 16(2),
185-211.
215
Kotter, J. P. (2008). A sense of urgency. Boston, MA: Harvard Business School Press.
Kotter, J. P. (1995). Leading change: Why transformation efforts fail. Harvard Business
Review, 73(2), 44–56.
Kotter, J. P. (1996). Leading Change. Boston, MA: Harvard Business School Press.
Krefting, L. (1991) Rigor in qualitative research. The American Journal of Occupational
Therapy, 45(3), 214 – 222.
Krueger, R. A. (1998a). Developing questions for focus groups: Focus group kit 3.
Thousand Oaks, CA: Sage.
Krueger, R. A. (1998b). Moderating focus groups: Focus group kit 4. Thousand Oaks,
CA: Sage.
Krueger, R. A., & Casey, M. A. (2000). Focus groups (Vol. 610). Thousand Oaks, CA:
Sage.
Kuntz, J. R., & Gomes, J. F. (2012). Transformational change in organisations: a self-
regulation approach. Journal of Organizational Change Management, 25(1), 143-
162.
Kyriakidou, O. (2011). Relational perspectives on the construction of meaning: A
network model of change interpretation. Journal of Organizational Change
Management, 24(5), 572-592.
Ladinski, V. (2017). Designing for adaptability: The gateshead civic centre. International
Journal of Building Pathology and Adaptation, 35(4), 380-396.
Laiken, M. E. (2003). Models of organizational learning: Paradoxes and best practices in
the postindustrial workplace. Organization Development Journal, 21(1), 8.
Landau, D. & Drori, I. (2008). Narratives as sensemaking accounts: The case of an R&D
216
laboratory. Journal of Organizational Change Management, 21(6), 701-720.
Law, S. (2009). Learning from employee communication during technological change.
Journal of Workplace Learning, 21(5), 384-397.
Lawrenz, F., Huffman, D., & Lavoie, B. (2005). Implementing and sustaining standards-
based curricular reform. National Association of Secondary School Principals.
NASSP Bulletin, 89(643), 2-16.
Levitt, B., & March, J. G. (1988). Organizational learning. Annual review of
sociology, 14(1), 319-338.
Lewin, K. (1951) Problems of research in social psychology. In D. Cartwright et al. Field
Theory in Social Science. New York: Harper & Brothers.
Lewis, M. W. (2000). Exploring paradox: Toward a more comprehensive guide. Academy
of Management Review, 25(4), 760-776.
Lichtenstein, B. M. B. (2000). Generative knowledge and self-organized learning:
reflecting on Don Schön's research. Journal of Management Inquiry, 9(1), 47-54.
Lines, R. (2005). How social accounts and participation during change affect
organizational learning. Journal of Workplace Learning, 17(3/4), 157-177.
Lopez-Yanez, J., & Sanchez-Moreno, M. (2013). Levers for sustainable improvement of
spanish schools in challenging contexts. Journal of Educational Change, 14(2),
203-232.
Luscher, L. S. & Lewis, M. W. (2008) Organizational change and managerial
sensemaking: Working through paradox. Academy of Management Journal,
51(2), 221-240.
Lyytinen, K., Rose, G., &Yoo, Y. (2010). Learning routines and disruptive technological
217
change. Information Technology & People, 23(2), 165-192.
Maitlis, S. (2005). The social processes of organizational sensemaking. Academy of
Management Journal, 48(1), 21-49.
Mantere, S., Schildt, H. A., & Sillince, A. A. (2012) Reversal of strategic change.
Academy of Management Journal, 55(1), 172-196.
March, J. G. (1991). Exploration and exploitation in organizational learning.
Organization Science, 2(1), 71-87.
March, J. G., & Olsen, J. P. (1975). The uncertainty of the past: Organizational learning
under ambiguity. European journal of political research, 3(2), 147-171.
March, J. G., & Simon, H. A. (1958). Organizations.
March. J. G. (1981). Footnotes to organizational change. Administrative Science
Quarterly, 26(4), 563-577.
Marquardt, M. J. (2011). Building the Learning organization: Achieving strategic
advantage through a commitment to learning (3rd ed.). Boston, MA: Nicholas
Brealey Pub.
Marshak, R. J. (1993). Lewin meets Confucius: a review of the OD model of change. The
Journal of applied behavioral science, 29(4), 393-415.
Marshall, C. & Rossman, G.B. (2011). Designing qualitative research (5th ed.).
Thousand Oaks, CA: Sage.
Marsick, V. & Watkins, K. (1999). Looking again at the learning organization: A tool
that can turn into a weapon! The Learning Organization, 6(5), 207-211.
Martens, Y. (2011). Creative workplace: Instrumental and symbolic support for
creativity. Facilities, 29(1/2), 63-79.
218
Martin-Rios, C. (2016). Sensemaking of organizational innovation and change in public
research organizations. International Journal of Organizational Analysis, 24(3),
516-531.
Maurer, R. (2010). Applying what we’ve learned about change. The Journal for Quality
and Participation. 33(2), 35-38.
McCaslin, M. L. & Scott, K. W. (2003). The five-question method. The Qualitative
Report 8(3), 447 – 461.
McKinsey. (2010). Making it work in government. The McKinsey Quarterly. Available
at http://www.mckinseyquarterly.com
McPhee, R. D. (2004). Text, agency, and organization in the light of structuration theory.
Organization, 11(3), 355-371.
McShan, C. G. & King, J. J. (1995). On the threshold of change in government. The
Government Accountants Journal, 43(4), 11.
Merriam, S. B. (2009). Qualitative case study research. Qualitative research: A guide to
design and implementation, 39-54.
Mezirow, J. (1990). How critical reflection triggers transformative learning. Fostering
critical reflection in adulthood, 1, 20.
Michel, A. (2014). The mutual constitution of persons and organizations: An ontological
perspective on organizational change. Organization Science, 25(4), 1082-1110.
Miles, M. B. & Huberman, A. M. (1994). Qualitative data analysis (2nd ed.). Thousand
Oaks, CA: Sage.
Miles, R. E. & Snow, C. C. (2003). Organizational strategy, structure, and process (pp.
3-30 and 68-80). Stanford, CA: Stanford University Press.
219
Miller, G. E. (2003). Making sense of organizational change. Personnel Psychology,
56(4), 1060-1064.
Mills, D. Q. & Friesen, B. (1992). The learning organization. European Management
Journal, 10(2), 146-156.
Mohrman, S. A. & Lawler, E. (2012). Generating knowledge that drives change.
Academy of Management Perspectives, 26(1), 41-51.
Monin, P., Noorderhaven, N., Vaara, E., & Kroon, D. (2013). Giving sense to and
making sense of justice in post merger integration. Academy of Management
Journal, 56(1), 256-284.
Moon, M. Y. (2009). Making sense of common sense for change management buy-in.
Management Decision, 47(3), 518-532.
Moran, P., Simoni, M. & Vagnani, G. (2011). Becoming the best: By beating or ignoring
the best? Toward an expanded view of the role of managerial selection in
complex and turbulent environments. Journal of Management & Governance,
15(3), 447-481.
Morrison, E. W. & Milliken, F. J. (2000). Organizational silence: A barrier to change and
development in a pluralistic world. Academy of Management Review, 25(4), 706-
725.
Nasim, S., & Sushil. (2010). Managing continuity and change: a new approach for
strategizing in e-government. Transforming Government: People, Process and
Policy, 4(4), 338-364.
220
Navis, C., & Glynn, M. A. (2011). Legitimate distinctiveness and the entrepreneurial
identity: Influence on investor judgments of new venture plausibility. Academy of
Management Review, 36(3), 479-499.
Nevis, E., DeBella, A., & Gould, J. (1995). Understanding organizations as learning
systems. Sloan Management Review, (winter), 73-85.
Nonaka, I. & Takeuchi, H. (1995). The knowledge-creating company. New York, NY:
Oxford University Press.
Nonaka, I. (1991). The knowledge-creating company. Harvard Business Review (Nov-
Dec), 96-104.
Nonaka, I. (2000). A dynamic theory of organizational knowledge creation.
In Knowledge, groupware and the internet (pp. 3-42).
O'Hara, S. (1996). Organizational change through individual learning. Career
Development International, 1(4), 38.
Onesti, T., Angiola, N., & Bianchi, P. (2016). Learning by using performance measures
in local governments: The perspective of public managers. Public Administration
Quarterly, 40(4), 842-881.
O'Reilly, C. A. & Tushman, M. L. (2013). Organizational ambidexterity: Past, present,
and future. Academy of Management Perspectives, 27(4), 324-338.
Ormerod, R. (2006). The history and ideas of pragmatism. The Journal of the
Operational Research Society, 57(8), 892-909.
Örtenblad, A. (2002). A typology of the idea of learning organization. Management
Learning, 33, 213-230.
221
Örtenblad, A. (2013). Handbook of research on the learning organization: Adaptation and
context. Northampton, MA: Edward Elgar Publishing, Inc.
Parsons, T. (1951). The Social System. New York and London: The Free Press and
Collier Macmillan.
Parsons, T., & Shils, E. A. (1951). Values, motives, and systems of action. Toward a
general theory of action, 33, 247-275.
Patora-Wysocka, Z. (2016). The institutionalization of practice: A processual perspective
on value co-creation 1. Economics and Business Review, 2(2), 113-126.
Patton, M. Q. (1990). Qualitative evaluation and research methods (2nd ed.) Newbury
Park, CA: Sage.
Perkins, K. M. (2012). Sustainability and innovation: Creating change that engages the
workforce. The Journal of Corporate Citizenship, (46), 175-187.
Peters, B. G. & Savoie, D. J. (1996). Managing incoherence: The coordination and
empowerment conundrum. Public Administration Review, 56(3), 281.
Peterson, T. O. & Beard, J. W. (2004). Workspace technology's impact on individual
privacy and team interaction. Team Performance Management, 10(7/8), 163-172.
Pettigrew, A. M., Woodman, R. W., & Cameron, K. S. (2001). Studying organizational
challenges for future research. Academy of Management Journal, 44(4), 697-713.
Piao, M. (2014). A long life after exploitation and exploration. European Journal of
Innovation Management, 17(2), 209-228.
Piderit, S. K. (2000). Rethinking resistance and recognizing ambivalence: A
multidimensional view of attitudes toward an organizational change. Academy of
Management Review, 25(4), 783-794.
222
Plowman, D. A., Baker, L. T., Beck, T. E., Kulkarni, M., Solansky, S. T., & Travis, D. V.
(2007). Radical change accidentally: The emergence and amplification of small
change. Academy of Management Journal, 50(3), 515-543.
Pokharel, M. P. & Hult, K. M. (2010). Varieties of organizational learning. Journal of
Workplace Learning, 22(4), 249-270.
Pokharel, M. P., & Choi, S. O. (2015). Exploring the relationships between the learning
organization and organizational performance. Management Research Review,
38(2), 126-148.
Porras, J. I. & Silvers, R. C. (1991). Organizational development and transformation.
Annual Review of Psychology, 42, 51-78.
Porras, J. I., & Robertson, P. J. (1992). Organizational development: Theory, practice,
and research. Consulting Psychologists Press.
Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganizational
collaboration and the locus of innovation: Networks of learning in biotechnology.
Administrative Science Quarterly, 41, 116-145.
Probst, G., & Raisch, S. (2005). Organizational crisis: The logic of failure. The academy
of management executive, 19(1), 90-105.
Rainey, H. G. (1999). Using comparisons of public and private organizations to assess
innovative attitudes among members of organizations. Public Productivity &
Management Review, 23(2), 130-149.
Reissner, S. C. (2010). Change, meaning and identity at the workplace. Journal of
Organizational Change Management, 23(3), 287-299.
223
Richter, C. (2001). Workplace design: A laboratory for inventiveness. The Journal for
Quality and Participation, 24(2), 52-55.
Rimmer, M., Macneil, J., Chenhall, R., Smith, K., & Watts, L. (1996). Reinventing
competitiveness: Achieving best practices in Australia. South Melbourne: Pitman.
Rogers, P., Meehan, P. & Tanner, S. (2006). Building a winning culture, Boston, MA:
Bain and Company.
Rollag, K. & Parise, S. (2005). The bikestuff simulation: Experiencing the challenge of
organizational change. Journal of Management Education, 29(5), 769-787.
Romanelli, E. & Tushman, M. (1994). Organizational transformation as punctuated
equilibrium: An empirical test. Academy of Management Journal, 37(5), 1141-
1166.
Roper, K. O. & Juneja, P. (2007). Valuation of AW: Modeling the impacts of
distractions. Facilities, 25(13/14), 536-553.
Rothe, P. & Heywood, C. (2015). Demystifying the short-distance relocation process: 5
cases from finland. Journal of Corporate Real Estate, 17(3), 160-177.
Rouleau, L. & Balogun, J. (2011). Middle managers, strategic sensemaking, and
discursive competence. Journal of Management Studies, 48, 953-983.
Rubin, H. J. & Rubin, I. S. (2012). Qualitative interviewing: The art of hearing data.
Thousand Oaks, CA: Sage.
Rudolph, J. W., Morrison, J. B., & Carroll, J. S. (2009). The dynamics of action-oriented
problem solving: Linking interpretation and choice. Academy of Management
Review, 34(4), 733-756.
Rusaw, A. C. (1997). Reinventing local government: A case study of organizational
224
change through community learning. Public Administration Quarterly, 20(4),
419-432.
Rusaw, A. C. (2005). How downsizing affects organizational memory in government:
Some implications for professional and organizational development. Public
Administration Quarterly, 28(3), 482-500.
Rusaw, A. C., & Fisher, V. D. (2017). Promoting training and professional development
in government: The origins and early contributions of SPOD. Public
Administration Quarterly, 41(2), 216-232.
Russ, T. L. (2008). Communicating change: A review and critical analysis of
programmatic and participatory implementation approaches. Journal of Change
Management, 8, 199-211.
Russ, T. L. (2010). Programmatic and participatory: Two frameworks for classifying
experiential change implementation methods. Simulation Gaming, 41(5), 767-
786.
Russ, T. L. (2011). An exploratory study of an experiential change program’s impact on
participants’ affective outcomes. Leadership & Organization Development
Journal, 32(5), 493-509.
Rynes, S. L., & Bartunek, J. M. (2017). Evidence-based management: Foundations,
development, controversies and future. Annual Review of Organizational
Psychology and Organizational Behavior, 4, 235-261.
Rynes, S. L., Bartunek, J. M., & Daft, R. L. (2001). Across the great divide: Knowledge
creation and transfer between practitioners and academics. Academy of
management Journal, 44(2), 340-355.
225
Saldaña, J. (2009). The coding manual for qualitative researchers. Thousand Oaks, CA:
Sage.
San Francisco, CA: Jossey-Bass.
Sarason, Y. (1995, August). A model of organizational transformation: The incorporation
of organizational identity into a structuration theory framework. In Academy of
Management Proceedings (Vol. 1995, No. 1, pp. 47-51).
Saunders, M. D. (2003). Institutionalizing retention activity: Toward a theory-based
model. Journal of College Student Retention, 4(4), 329-335.
Schein, E. H. (1991). What is culture. Newbury Park, CA: Sage Publications, 243-253.
Schein, E. H. (1999). Kurt Lewin’s change theory in the field and in the classroom: Notes
toward a model of managed learning. Reflections, 1(1), 59-74.
Schein, E. H. (2017). Organization development: A Jossey-Bass reader. John Wiley &
Sons.
Schön, D. A. (1987). Educating the reflective practitioner: Toward a new design for
teaching and learning in the professions. Jossey-Bass.
Schwandt, D. & Szabla, D. (2013). Structuration theories and complex adaptive social
systems: Inroads to describing human interaction dynamics. Emergence:
Complexity and Organization, 15(4), 1-20.
Schwandt, D. R. (1993). Organizational learning: a dynamic integrative
construct. Unpublished Manuscript.
Schwandt, D. R. (1997). Integrating strategy and organizational learning: A theory of
action perspective. Advances in strategic management, 14, 337-360.
226
Schwandt, D., & Marquardt, M. (2000). Organizational learning: From world-class
theories to global best practices. Boca Raton, FL: St. Lucie Press.
Scott, J. (2017). Social network analysis. Sage.
Seidman, I. (2006). Interviewing as qualitative research: A guide for researchers in
education and the social sciences (3rd ed.). New York, NY: Teachers College
Press.
Seidman, W., & McCauley, M. (2009). A scientific model for grassroots O.D.
Organization Development Journal, 27(2), 27-37.
Seig, M. T., & Bubp, K. (2008). The culture of empowerment: Driving and sustaining
change at Conner Prairie. Curator: The Museum Journal, 51(2), 203-220.
Selcer, A. & Decker, P. (2012). The structuration of ambidexterity: An urge for caution
in organizational design. International Journal of Organizational Innovation,
5(1), 65-96.
Senge, P. (1990). The fifth discipline: The art and science of the learning
organization. New York: Currency Doubleday.
Senge, P. M. (2006). The fifth discipline: The art and practice of the learning
organization (3rd ed.). New York, NY: Doubleday.
Senge, P. M., & Kaeufer, K. H. (2000). Creating change. Executive excellence, 17(10), 4-
4.
Senge, P., Kleiner, A., Roberts, C., Ross, R., Roth, G., Smith, B., &Guman, E. C. (1999).
The dance of change: The challenges to sustaining momentum in learning
organizations.
227
Senturia, T., Flees, I., & Maceda, M. (2008). Leading change management requires
sticking to the plot. London: Bain and Company.
Skerlavaj, M., Dimovski, V., & Desouza, K. C. (2010). Patterns and structures of intra-
organizational learning networks within a knowledge-intensive organization.
Journal of Information Technology, 25(2), 189-204.
Skogland, M. A. C. & Hansen, G. K. (2017). Change your space, change your culture:
Exploring spatial change management strategies. Journal of Corporate Real
Estate, 19(2), 95-110. Ansari, S., Munir, K. & Gregg, T. (2012). Impact at the
‘bottom of the pyramid: the role of social capital in capability development and
community empowerment. Journal of Management Studies, 49, 813-842.
Skogland, M. A. C. (2017). A spatial approach to transformational change. Journal of
Corporate Real Estate, 19(4), 285-299.
Smets, M., Morris, T., & Greenwood, R. (2012). From practice to field: A multilevel
model of Practice-driven institutional change. Academy of Management Journal,
55(4), 877-904.
Smith, P. A., &Sharicz, C. A. (2013). The bi-modal organization: Balancing autopoiesis
and fluid social networks for sustainability. The Learning Organization, 20(2),
134-152.
Smith, W. K. & Lewis, M. W. (2011). Towards a theory of paradox: A dynamic
equilibrium model of organizing. Academy of Management Review, 36(2), 381-
403.
228
Snyder, K. M. (2007). The european education quality benchmark system: Helping
teachers to work with information to sustain change. European Journal of
Education, 42(3), 425.
Sonenshein, S. (2007). The role of construction, intuition, and justification in responding
to ethical issues at work: The sensemaking-intuition model. Academy of
Management Review, 32(4), 1022-1040.
Sotirakou, T. & Zeppou, M. (2004). The "MATE" model: A strategic knowledge
management technique on the chessboard of public-sector modernization.
Management Decision, 42(1), 69-88.
Srimai, S., Damsaman, N., & Bangchokdee, S. (2011). Performance measurement,
organizational learning and strategic alignment: An exploratory study in thai
public sector. Measuring Business Excellence, 15(2), 57-69.
Staber, U. & Sydow, J. (2002). Organizational adaptive capacity: A structuration
perspective. Journal of Management Inquiry, 11(4), 408-424.
Stake, R. E. (1995). The art of case study research. Thousand Oaks, CA: Sage.
Stata, R. (1989). Organizational learning: The key to management innovation. Sloan
Management Review, (spring), 63-74.
Steenekamp, K., Botha, G., & Moloi, K. C. (2012). Sustaining change in a learning
organization. Africa Education Review, 9(2), 380.
Steigenberger, N. (2015). Emotions in sensemaking: A change management perspective.
Journal of Organizational Change Management, 28(3), 432-451.
Stensaker, I. & Falkenberg, J. (2007). Making sense of different responses to corporate
change. Human Relations, 60(1), 137-177.
229
Stjernberg, T., & Philips, A. (1993). Organizational innovations in a long-term
perspective: Legitimacy and souls-of-fire as critical factors of change and
viability. Human Relations, 46(10), 1193-1219.
Suss, D. (2015). T4 MAP™: A Scholar‐Practitioner Model for Performance
Improvement. Performance Improvement Quarterly, 27(4), 49-75.
Sutcliffe, K. M. (2013). Sensemaking. The Palgrave encyclopedia of strategic
management. Basingstoke: Palgrave Macmillan. Advance online publication.
Retrieved from http://www. palgraveconnect.
com/pc/doifinder/10.1057/9781137294678.0623.
Tajeddini, K. (2016). Analyzing the influence of learning orientation and innovativeness
on performance of public organizations. The Journal of Management
Development, 35(2), 134-153.
Taylor, S. S. (1999). Making sense of revolutionary change: Differences in members'
stories. Journal of Organizational Change Management, 12(6), 524-539.
Templeton, G. F., & Dowdy, J. F. (2012). CASE-mediated organizational and deutero
learning at NASA. Information Systems Frontiers, 14(3), 741-764.
Thomas, J. B., Clark, S. M., & Gioia, D. A. (1993). Strategic sensemaking and
organizational performance: Linkages among scanning, interpretation, action, and
outcomes. Academy of Management Journal, 36, 239-270.
Thomas, R., Sargent, L. D., & Hardy, C. (2011). Managing organizational change:
Negotiating meaning and power-resistance relations. Organization Science, 22(1),
22-41.
Thompson, J. R. & Ingraham, P. W. (1996). The reinvention game. Public Administration
230
Review, 56(3), 291.
Thompson, J. R. (1999). Devising administrative reform that works: The example of the
reinvention lab program. Public Administration Review, 59(4), 283-292.
Thompson, J. R. (2000). Reinvention as reform: Assessing the national performance
review. Public Administration Review, 60(6), 508-521.
Tosey, P. (2005). The hunting of the learning organization: A paradoxical journey.
Management Learning, 36(3), 335-352.
Trautlein, B. A. (2013). Change Intelligence: Use the Power of CQ to Lead Change That
Sticks. Greenleaf Book Group.
Tsang, E. W. K. (1997). Organizational learning and the learning organization: A
dichotomy between descriptive and prescriptive research. Human Relations 50(1),
73-89.
Tsasis, P., Evans, J.M., Rush, L., & Diamond, J. (2013). Learning to learn: Towards a
relational and transformational model of learning for improved integrated care
delivery. Administrative Sciences, 3(2), 9-31.
Tsoukas, H. & Chia, R. (2002). On organizational becoming: Rethinking organizational
change. Organization Science, 13(5), 567-582.
Tucker, D.A., Hendy, J., & Barlow, J. (2015). The importance of role sending in the
sensemaking of change agent roles. Journal of Health Organization and
Management, 29(7), 1047-1064.
Turner, B. S., & Holton, R. J. (2014). Talcott Parsons on Economy and Society (RLE
Social Theory). Routledge.
231
Vales, E. (2007). Employees CAN make a difference! Involving employees in change at
Allstate Insurance. Organization Development Journal, 25(4), P27.
vanBuuren, A. & Edelenbos, J. (2013). Organizational competence development in two
public agencies in the netherlands: The effectiveness of in-company training
versus learning by doing. Public Personnel Management, 42(3), 385-402.
Van de Ven, A. & Poole, M. (1995). Explaining development and change in
organizations. Academy of Management Review,20(3), 510-540.
Van de Ven, A. H., & Huber, G. P. (1990). Longitudinal field research methods for
studying processes of organizational change. Organization science, 1(3), 213-219.
Van den Heuvel, S., Freese, C., Schalk, R., & van Assen, M. (2017). How change
information influences attitudes toward change and turnover intention. Leadership
& Organization Development Journal, 38(3), 398-418.
Van den Heuvel, M., Demerouti, E., Schreurs, B. H. J., Bakker, A. B., & Schaufeli, W. B.
(2009). Does meaning-making help during organizational change? Career
Development International, 14(6), 508-533.
van der Heijden, A., Cramer, J. M., & Driessen, P. P. (2012). Change agent sensemaking
for sustainability in a multinational subsidiary. Journal of Organizational Change
Management, 25(4), 535-559.
Van der Voet, J., Kuipers, B., & Groeneveld, S. (2015). Held back and pushed forward:
Leading change in a complex public sector environment. Journal of
Organizational Change Management, 28(2), 290-300.
232
Vidović, V. V., & Bjeliš, A. (2006). Entrepreneurialism at the University of Zagreb:
managing the sustainability of change. Higher Education in Europe, 31(2), 157-
193.
Vohra, N. & Thomas, N. (2016). Investigating organizational learning through social
network analysis: The case of a consultancy firm in india. Thunderbird
International Business Review, 58(6), 587-600.
Vora, M. K. (2013). Business excellence through sustainable change management. TQM
Journal, 25(6), 625-640.
Walston, S. L., & Chadwick, C. (2003). Perceptions and misperceptions of major
organizational changes in hospitals: Do change efforts fail because of inconsistent
organizational perceptions of restructuring and reengineering?. International
Journal of Public Administration, 26(14), 1581-1605.
Walter, G. A., & Marks, S. E. (1981). Experiential learning and change. New York, NY:
John Wiley & Sons.
Wanberg, C.R. & Banas, J.T. (2000). Predictors and outcomes of openness to changes in
a reorganizing workplace. Journal of Applied Psychology, 85(1), 132-142.
Weaver, G. R., & Gioia, D. A. (1994). Paradigms lost: incommensurability vs
structurationist inquiry. Organization Studies, 15(4), 565-589.
Weber, P. S. & Manning, M. R. (2001). Cause maps, sensemaking, and planned
organizational change. The Journal of Applied Behavioral Science, 37(2), 227-
251.
Weick, K. E. (1988). Enacted sensemaking in crisis situations [1]. Journal of
management studies, 25(4), 305-317.
233
Weick, K. E. (1990). Technology as equivoque: sensemaking in new technologies.
Weick, K. E. (1993). The collapse of sensemaking in organizations: The Mann Gulch
disaster. Administrative science quarterly, 628-652.
Weick, K. E. (1995). Sensemaking in organizations (pp. 1-62). Thousand Oaks, CA:
Sage.
Weick, K. E., Sutcliffe, K. M., & Obstfeld, D. (2005). Organizing and the process of
sensemaking. Organization Science, 16(4), 409-421.
Weiss, R. S. (1994). Learning from strangers: The art and method of qualitative
interview studies. New York, NY: The Free Press.
West, P. (1994). The concept of the learning organization. Journal of European
Industrial Training, 18(1), 15-30.
Whiteman, G., & Cooper, W. H. (2011). Ecological sensemaking. Academy of
Management Journal, 54(5), 889-911.
Wischnevsky, J. D. (2004). Change as the winds change: The impact of organizational
transformation on firm survival in a shifting environment. Organizational
Analysis, 12(4), 361-377.
Wise, C. R. (2006). Organizing for homeland security after katrina: Is adaptive
management what's missing? Public Administration Review, 66(3), 302.
Woodman, R. W. (1993). Observations on the field of organizational change and
development from the lunatic fringe. Organization Development Journal, 11(2),
71-75.
234
Yanchus, N. J., Shoda, E. A., Derickson, R., & Osatuke, K. (2015). Organizational
change and sensemaking in the veterans health administration. Journal of
Organizational Psychology, 15(1), 74-89.
Yeo, R. K. (2006). Learning institution to learning organization. Journal of European
Industrial Training, 30(5), 396-419.
Yeo, R. K. & Marquardt, M. J. (2015). Think before you act: Organizing structures of
action in technology-induced change. Journal of Organizational Change
Management, 28(4), 511-528.
Yin, R.K. (2014). Case study research: Design and methods (5th ed.). Newbury Park,
CA: Sage.
Zappa, P. & Robins, G. (2016). Organizational learning across multi-level networks.
Social Networks, 44, 295.
Zhang, X. (2016). Co-evolution between institutional environments and organizational
change. Journal of Organizational Change Management, 29(3), 381-403.
Zhou, K. Z., Tse, D. K., & Li, J. J. (2006). Organizational changes in emerging
economies: Drivers and consequences. Journal of International Business Studies,
37(2), 248.
235
Appendix A: Invitation to Participate In Study
Date_______
Dear (name),
I am writing today to invite you and to participate in a research study I am
conducting for my doctoral dissertation at The George Washington University. As an
organizational development and change professional with over 20 years of experience
leading people, projects, and change, I am asking for your assistance as a colleague so
that I can include your voice to my research study.
The focus of my study is to understand how organizational learning takes place
and is sustained after a planned change. The planned change that I am specifically
focusing on is the change from traditional work space to a more nomadic, dispersed work
environment.
I will be collecting several data points from which your interview is a very
important component. In addition to hearing your reflections, thoughts, and lessons
learned from your experience as a change agent in the change being studied, I will also be
conducting employee focus groups, looking at various organizational data (like BookIt!
data and the Federal Employee Viewpoint Survey) and doing some onsite observations as
well.
You will receive summarized results from this study, which you can use as you
see fit in your work to facilitate this transition across government. In all cases, your
name, and the names of any employee involved in this study will not be disclosed.
Pseudonym names and consolidated data will appear in my doctoral dissertation and any
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subsequent published works. The advances of technology combined with the need to
reduce space and space-related costs means that organizations, both public and private,
are looking to make some transition to a more cost-efficient work space environment. By
participating in this study you are contributing to an under-served area of research that is
greatly needed and findings from your insights will help inform industry practices.
I would like to ask for your commitment and participation with this important
study. If you are willing to participate, please reply to: [email protected] or contact
Mary Barnes at 571-340-1059 by (date). If you are unable or unwilling to participate,
please let me know. If I don’t hear back from you in the coming week, I’ll follow up with
you to see if you are interested.
Thank you for your consideration!
Very Respectfully,
Mary Barnes
Doctoral Candidate
The George Washington University
571-340-1059
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Appendix B: Individual Interview Guide Date & Time: Participant Name & Role
Interview reminders:
Conversational & informal
Direct, easy questions
Short segues
One concept at-a-time
Language appropriate for audience
Use “Think back…”
Avoid “Why?”
Avoid providing examples
Probe judiciously
Serendipitous Q’s at the end if time allows
Neutral verbal and body language responses to participant comments
Answer participant questions on study swiftly
Housekeeping:
Silence phones
Keep track of time
Paper & pen
Participant thank you note
Small Talk Prior to Starting:
Current role and what they have been up to
Personal updates (family, travel, etc.)
Researcher Use Only. Am I hearing what I need to hear?
How does THE AGENCY exhibit adaptation learning, from the change agent’s perspective (now and then)?
o sharing information o aware of industry trends o tracking external best practices o deliberate evaluation of external information
How does THE AGENCY exhibit goal learning, from the change agent’s perspective (now and then)?
o goals for innovation/ new products/ services o using org structure to share ideas o goals for individual and org learning
How does THE AGENCY exhibit integration learning, from the change agent’s perspective (now and then)?
o opportunities for KSA development o leadership supported communications o knowledge sharing systems in place for SOPs o use of collaborative arrangements to facilitate change
How does THE AGENCY exhibit latency learning, from the change agent’s perspective (now and then)?
o implementing ideas and innovations from employees o believes continuous change is necessary o strong culture that supports individual and
organizational development o customer input is viewed as critical to achieving org
goals
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Introduction
[Opening: Purpose is to welcome participant, explain the interview format,
introduce the research, and establish the environment for the next hour].
Hello and welcome! Thank you for taking the time to join me today as we talk
about organizational learning and change in the agency, focusing specifically on the
change to a more dispersed work environment that has been occurring over the past few
years. More importantly, I’m glad to just have an excuse to catch up with you and get
your thoughts on how the change has been going.
Currently, I am working on completing my doctoral dissertation at George
Washington University where I’m researching how organizational learning and change is
sustained in the agency. I thought focusing on the change to a dispersed work
environment would be a good subject to study, and I might be able to provide some
insights to THE AGENCY as well.
You were selected to participate in this interview because you had a change agent
role during the change and are still at the agency in one capacity or another. I really
appreciate you taking the time to share with me today. I want to hear from you. There are
no right or wrong answers to the questions we go over today and no quotes will be
attributed to individuals in any of my reports (all quotes will be anonymous and stripped
of any identifying information), so feel free to be as open and honest as you like.
Since we know each other professionally, the interview is obviously not
anonymous. However, I will be using a pseudonym for this interview so only you and I
will be able to attribute any comments back to you.
239
My role is to ask questions and listen. I’ll also be moving the conversation along
to ensure that we stay within our 1-hour time frame - I want to make sure I respect your
valuable time and don’t keep you past that hour.
Let’s quickly go over how this interview will proceed. The interview has two
parts. This first part I will ask straightforward questions about your perception of the
change. The second part, I’ll ask you to think back to immediately after the change and
compare then to now in order to answer the questions. Because I would like to be able to
focus on listening and asking follow up questions, I’d like to record our session so I can
go back later to take more complete notes. Is that okay?
What am I going to do with the information from this group? I’m conducting up
to 10 interviews with change agents from the initial change. I am also conducting focus
groups with employees and collecting other documents and observations as secondary
data points. I will take the information and insights I gain from all of the various data
points and synthesize them. Ultimately, I hope to learn how well we have been able to
sustain the organizational learning and change from the point where we really started to
move towards this more dispersed work environment. Not only will the data feed my
dissertation, I also hope it will provide some very practical insights for the agency to use
as we continue to learn and change to adjust to the seemingly ever-changing government
environment. I’ll eventually share these findings to leadership, and might even share
more broadly to other government agencies.
As a reminder, your responses will be reported anonymously and in aggregate - so
we encourage you to openly share your thoughts and opinions!
Any questions before we get started?
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Part 1: General Questions
1. What was your role during the change to a more dispersed work environment? 2. Are you still in a role that actively reinforces the “new way of working”?
a. If not, what is your new role? 3. From your perspective, what are some of the changes that have since become
“just the way we do things”? a. What do you think contributed to that?
4. What changes were initiated during the change to the new way of working that didn’t stand the test of time?
a. Why do you think that is?
Part 2: Now vs Then Questions
For the next questions, I’m asking you to think about the organization back when
the change was just completed and compare that to where the organization is today.
5. Where do you think the organization is today versus immediately following the change regarding its awareness and responsiveness to the external environment?
a. By this, I mean an awareness of what customers’ needs, what industry best practices and trends are, how and why to share knowledge with external stakeholders, etc.
b. Do you think the change to the new way of working had either a direct or indirect impact on this change? How so?
6. Where do you think the organization is today versus immediately following the change regarding its action and reflection on goals, learning, and innovation?
a. By this, I mean a deliberate focus on goals regarding innovating new products or services, effectively using organizational structures to share ideas, setting org and individual goals for development
b. Do you think the change to the new way of working had either a direct or indirect impact on this change? How so?
7. Where do you think the organization is today versus immediately following the change regarding its dissemination and integration of roles, communications, leadership, and development?
a. By this, I mean taking opportunities for developing knowledge, skills, and abilities, sharing new insights, and collaborating at all levels of the organization
241
b. Do you think the change to the new way of working had either a direct or indirect impact on this change? How so?
8. Where do you think the organization is today versus immediately following the change regarding its culture of development and innovation?
a. By this, I mean valuing individual and organizational development, viewing mistakes as learning opportunities, consistently raising the bar/ measure of success, creating a climate of trust and responsibility
b. Do you think the change to the new way of working had either a direct or indirect impact on this change? How so?
That’s it. We’ve reached the end of our discussion today. I would like to thank
you for your time, your candor, and the stories that you’ve shared with me today. I will
be interviewing others from the old crew over the next week or so. To ensure they share
their perspectives like you did today, kindly refrain from discussing our conversation
today. Thanks so much for doing this - I know how busy you are. I will be sharing out my
draft findings as a “thank you” for taking time out of your day. Hopefully, there will be
some practical nuggets you can use. If you have more interest in the full research
analysis or have other questions, you know where to find me. Thanks again!
Interview Reflection for Researcher’s Journal Notes:
• Most important themes or ideas that surfaced?
• How did these differ from what was expected?
• How did these differ from earlier interviews in this restaurant? From other
restaurants?
• What long quotes resonated with me that should be used in the report?
• Were there any unexpected findings?
• General feeling / emotion / attitude of the interviewee?
• Ease of providing examples / rich detail?
242
• Difference among job roles (FOH vs. BOH)?
• What should I do differently next time?
243
Appendix C: Focus Group Interview Protocol Introduction
[Start 0:00]
Good afternoon everyone! Thank you for joining. We will wait a little bit longer
to let others sign on.
Just a reminder -- you may remain anonymous during this session. If you see your
name in the chat box and prefer to be anonymous, please log back in as a “GUEST.”
[When we’re ready to go]
[Start 0:03]
[Opening: Purpose is to welcome participants, explain the focus group interview
format, introduce the researcher, and establish the environment for the next hour].
Hello and welcome! Thank you for taking the time to join me today as we talk
about organizational learning and change in the agency, focusing specifically on the
change to a more dispersed work environment that has been occurring over the past few
years. My name is Mary Barnes. Since 2008, I’ve had the pleasure of working in the
agency with you and, I am currently completing my doctoral dissertation at George
Washington University where I’m researching how organizational learning and change is
sustained in the agency.
You were selected randomly to participate in this focus group, and I really
appreciate you taking the time to share with me today. I want to hear from you. There are
no right or wrong answers to the questions we’re going over today, and no quotes will be
attributed to individuals in any of my reports (all quotes will be anonymous and stripped
of any identifying information), so feel free to be as open and honest as you like.
244
This group discussion is virtual to allow for anonymity, if you so choose, and
because it is a familiar and convenient way to have meetings in our dispersed work
environment. That allows us to participate in many ways. There will be some polling
questions for simple demographic questions. You can always use the chat box to
contribute without have to speak on the phone, and I hope we can also have a discussion
over the phone as well. Positive and negative comments are equally helpful - like I said,
there are no right or wrong answers here.
My role is to ask questions and listen. I’ll also be moving the conversation along
to ensure that we stay within our 1-hour time frame. There can be a tendency for some
people to be very descriptive with their stories while others may be brief and to the point.
I will try to mix up the flow of conversation so that quiet participants have an opportunity
to share their experiences as well.
Let’s quickly go over how this focus group will proceed. We’re going to take
about 50 minutes to ask a series of questions about learning and change. We’ll talk about
your perceptions of learning and change in today’s environment and ask you to think
back to when we were in more traditional office space and less dispersed. Some of them
will be open ended, and I invite you to answer using the group chat in MeetingSpace. Be
prepared though! I may ask you some follow-up questions.
I’ll also ask you some polling questions - for these, simply select your answer,
and if you’d like to add context, feel free to write any comments in the chat.
What am I going to do with the information from this group? I’m going to hold a
series of at least 4 focus groups. I will take the information and insights I gain from the
245
focus groups and combine it with other data I’ve gathered from other interviews, past
surveys, and other data. Ultimately, I hope to learn how well we have been able to
sustain the organizational learning and change from the point where we really started to
move towards this more dispersed work environment. Not only will the data feed my
dissertation, I also hope it will provide some very practical insights for the agency to use
as we continue to learn and change to adjust to the seemingly ever-changing government
environment. I’ll eventually share these findings to leadership, and might even share
more broadly to other government agencies.
As a reminder, your responses will be reported in anonymously and in aggregate -
so we encourage you to openly share your thoughts and opinions!
Any questions before we get started?
[Start 0:05]
Single Select - Polling Question
1. Let’s start with an easy one to break the ice: how many years have you been with THE AGENCY?
a. 0-2 years b. 3-5 years c. 6-10 years d. 11+ years
Environmental Interface
[Start 0:07]
OK, we’re going to switch to some open ended questions. For each question, I
ask that you answer it based on the current environment today. Then, I’ll ask you to
think about whether this has increased, decreased, or stayed the same over the past two
years and for your thoughts on how and why.
246
2. Do you and your colleagues share external information? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why? 3. Does your organization predict the changes occurring in industry?
a. Has this increased, decreased, or stayed the same over the past two years? How? Why?
4. Does your organization continuously track how others improve similar products, services, and operations? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why? 5. Does your organization deliberately reflect upon and evaluate external
information? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why?
Single Select - Polling Question
6. Phew! Are you hanging in there? Thank you so much for your thoughtful responses. I’ve got another easy one for you: Do you work in a service or staff office?
a. Service b. Staff office
Action/ Reflection
[Start 0:19]
Now, let’s talk a little more about your organizations. The same format stands.
First, think about the current state, and then think about if it has changed over the past
two years. Ready?
7. Does your organization have set goals for researching and/or developing new products/services? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why? 8. Do members of your organization effectively use org structures (like chain of
command or personal networks) when sharing ideas and innovations? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why?
247
9. Does your organization have clear goals for individual and organizational development? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why?
Single Select - Polling Question
10. Time for another polling question: Did you live through the transition from traditional office space to hoteling, and increased telework within the agency?
a. YES b. NO
Dissemination/ Diffusion
[Start 0:31]
We’re at the midpoint now. I appreciate you guys sticking with me. There have
been some really insightful comments that will be very helpful to my research. The same
format stands for the next questions as well. First, think about the current state, and then
think about if it has changed over the past two years. Ready?
11. Do your organization’s leaders support quick and accurate communication among all employees? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why? 12. Are there systems in place to share new operational processes and procedures
throughout the organization? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why? 13. Does this organization establish working groups, networks, or other collaborative
arrangements to help the organization change? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why?
Single Select - Polling Question
14. Time for another polling question: As you were going through the “new way of working change”, or any other change at the agency, had you participated in a
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change management program (like a change agent network or the WAVE program)?
a. YES, I participated in the WAVE program b. YES, I participated in a change agent network c. YES, I participated in another type of change program (please explain) d. NO, I have not participated in a change management program
Memory/ Meaning
[Start 0:43]
We’re almost there. The same format stands for the next questions as well. First,
think about the current state, and then think about if it has changed over the past two
years. Ready?
15. Does your organization use ideas and suggestions from its employees? a. Has this increased, decreased, or stayed the same over the past two years?
How? Why? 16. Do you think that this organization believes that continuous change is necessary?
a. Has this increased, decreased, or stayed the same over the past two years? How? Why?
17. Do you think this organization has a strong culture of shared values, beliefs, and norms that support individual and organizational development?
a. Has this increased, decreased, or stayed the same over the past two years? How? Why?
18. Do you think people in this organization believe that evaluating what customers say is critical to reaching organizational goals?
a. Has this increased, decreased, or stayed the same over the past two years? How? Why?
Single Select - Polling Question
19. Speaking of customers, I’ve got another quick polling question for you: Do you interact with customers directly in your current role?
a. YES, I interact with external customers (outside of THE AGENCY) b. YES, I interact with internal customers (within THE AGENCY) c. YES, I interact with both internal and external customers d. NO, my current role does not involve direct interaction with customers
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Change in General
[Start 0:55]
To finish up the focus group, I have two larger picture questions about the change
from traditional office space to the more dispersed work environment of hoteling:
20. What is the biggest or most impactful change you have seen over the past few years that was once new but has now become “just the way we do things”? Why do you think this change “stuck”?
21. What changes were initiated during the change to the “new way of working” but didn’t seem to stand the test of time? Why do you think that is?
Closing
We're almost out of time. I’ll leave the chat space open for any final thoughts
you’d like to share regarding change and learning at THE AGENCY. Thank you again
for your participation! I will be sharing a summary of the results of the focus group once
compiled, in case it is helpful for future org change initiatives in your organizations.
Everyone invited to the focus groups will get a copy. If you are interested to hear more
about my research and results, or have any other suggestions or further questions, please
email me at [email protected].
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Appendix D: Direct Observation Guide Setting:
Description of Activities:
Date / Start & End Time: Event Observing: Participants: Researcher Reminders – Observing What Ties Back to OLSM 1. Environmental Interface - Those aspects of the action system that are aimed at allowing and/or
disallowing information to enter the learning system a. This function is manifested in organizational actions that scan or test the
environment and selects inputs to the organization 2. Action/ Reflection - Those organizational actions that are aimed at satisfying learning needs or
goals of the learning system a. This function is manifested in organizational actions such as experimentation,
research, evaluations, critical thinking, decision-making and problem-solving processes, and clarifying discussions
3. Dissemination and Diffusion - Those organizational actions directed at coordinating the elements of the learning system
a. This function is manifested in the implementation of organizational roles, leadership processes, structural manipulations, and communications that enhance the movement of information and knowledge
4. Memory and Meaning - The aspect of actions that aims at or consists of maintaining the general learning system’s patterns of actions - it creates and stores the meaning or sensemaking control processes for the learning system.
a. This function is manifested in organizational actions such as reasoning processes, comparisons, making of policy and procedures, creation of symbols reflecting org values, language, artifacts, basic assumptions, and the storing and retrieval of knowledge
The Physical Setting: What is the environment like (space, lighting, temperature, noise)? How is the space designed? What objects/technology present in the space?
Participants: General - Are entire teams together or just individuals? Are front line employees there, but no supervisors? No collection of individual or team names.
Interactions: What’s going on? Is there a sequence to the activities? How are people interacting with one another? Are there norms or rules – spoken or unspoken guiding behavior? How long does the interaction last? When did the activity happen in context of the operation? Are there handouts, product samples, tastings, etc.?
Subtle Factors: Formality of event. Insider information / insider jokes. Nonverbal communication. What didn’t happen that ought to have happened?
Researcher Behavior: What was my role? What did I do or say? What are my thoughts about what’s going on?
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Appendix E: Individual Interview Consent Form Understanding the Sustainability of a Planned Change Through an Organizational Learning Lens
IRB #031810 Principal Investigator: Dr. Michael J. Marquardt, 571.553.3764
Sponsor: George Washington University
You are invited to take part in a research study being conducted by Dr. Michael J. Marquardt and Mary Barnes, sponsored by The George Washington University, Graduate School of Education
and Human Development.
You are being asked if you want to take part in this study because of your change agent role as part of the move to 1800 F Street and the “new way of working”. Please read this form and ask us any questions that will help you decide if you want to be in the study. Taking part is completely voluntary and even if you decide you want to, you can quit at any time. Your employment status will not be affected in any way should you choose not to take part or to withdraw at any time. Even if you decide to take part and then change your mind, you can quit at any time. You are 1 of about 15 people being invited to an individual interview for this study. There will also be 4 or 5 employee focus groups and other data collection as well, all in an effort to answer the research question: How did a government agency introduce and sustain organizational learning after a planned change? Purpose The purpose of this qualitative case study is to explore how a medium-sized government agency developed and sustained organizational learning. I want to see how the organization learned -and sustained that learning - in order to sustain the planned change, which was a change that required behavioral and procedural change in the organization. The study examines the organization as a whole through pre-existing data, documents, and records as well as interviews, focus groups, and observation in a work environment. No information obtained will be recorded in such a way that individuals will be identifiable, and the focus groups will be in a virtual setting with pseudonyms, so that confidentiality is preserved. My interest is in the aggregate organization, not individuals. Procedures The total amount of time you will spend in this study is approximately 2 hours over the course of one meeting for the interview, and a follow-up review. In addition to our one hour meeting, I will provide you with a transcription of your interview for you to review for accuracy and edit, as needed. That is the extent of your time commitment if you choose to participate.
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Risks & Confidentiality The study has the following risks: Risks of participation in this study are minimal since all requests for information are about behaviors and observations in a work environment, where there is not an expectation of privacy. Additionally, no personal data will be recorded, so there is no risk of loss of privacy. There is an unlikely risk that there is a loss of confidentiality. There is a small chance that someone not on our research team could find out that you took part in the study or somehow connect your name with the information we collect about you. However, the following steps are being taken to reduce this risk: Interviews are being recorded, and the recordings will be kept on the Cloud under password protection. Once the dissertation is successfully defended, all recordings will be destroyed. The records of this study will be kept private. In any published articles or presentations, we will not include any information that will make it possible to identify you as a subject; all data from interviews and focus groups will be synthesized and presented from an organizational perspective with no unique identifiers. Your individual answers (without a unique identifier) from the interview may be reviewed by members of my dissertation committee and by departments of the University responsible for overseeing research safety and compliance. Benefits While there is most likely no direct benefit for you as a result of participating in this study, you will be contributing to research and helping to provide data that has the potential to add to our theoretical and practical knowledge base. At the conclusion of the research, I will be providing the agency with a copy of the practical implications as a result of the study. These findings may provide value to future organizational change and organizational learning work, and may even provide meaningful information in our efforts to help other agencies with this type of change. Questions Contact Mary Barnes (571-340-1059, [email protected]) if you have questions, concerns, complaints, or if you think you have been harmed. For questions regarding your rights as a participant in human research, contact the GWU Office of Human Research at 202-994-2715. Documentation of Consent If you agree to take part in this study, please sign below. After you sign this Consent Form, the research team will provide you with a copy. Please keep it in case you want to read it again or call someone about the study. _________________________________________________ ___________________________ Sign Name Date
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Appendix F: Non-People Data Collection Details
Type of Data What do we need to know? Other Comments Space Reduction In Square feet? However they captured it is fine, I'm assuming
by square feet - we might also get a cost savings number
VOIP Number of Accounts, Hours Used Common Printers Number of available printers (is the
alternative office specific or private printers?) - combine this with pages printed. How is it correlated?
Each person in CC used to have their own individual printers. Either a % of people who have personal printers then vs now or a number
Universal Docking Stations
This is just an observational data point - we went from direct hook up at our permanent desks to specific docking stations with the weird connection on the bottom to universal docking stations as we continued to adapt and improve the technology to meet the new way of working
Telework Rates Increased in the signed agreements, number of days
This we can get from ETAMS - a trend of number of telework days over the past several years
Google Drive Utlization
Has this increased from the I-Drive? What does this say about dispersed workforce?
meeting space use Hours? Yes - I think the contract is paid by the amount of usage so we should have this data somewhere
travel dollars spent
Percentage utilization of budget spent on travel (is there an additional data point about increased technology?)
reasonable accommodation
Special use chairs or other reasonable accommodation data (was it needed or was it a reaction to change? Do those who require special accommodation work more from home? Has the building evolved to accommodate modern workforce needs (e.g., standing desks) Have they left?))
This might be tricky but I'm hoping we get some high level data - when we first moved over, everyone wanted to keep their own special chair, needed a dark, quiet space, etc. I'm wondering if the number of accommodation requests has decreased over time, either because it wasn't needed, those needing accommodations could WAH, or because those needing accommodations attrited
Attrition Get data trend BookIt usage Frequency of usage for conference
rooms, also for workstations? Total Frequency?
Whatever trends they can give us. Trends over time for things like: how many reservations got bumped; how many complaint/help calls; workstation and conference room trends; percentage of available space booked each day (Avg for Monday vs Tuesday, etc.)
Change in telework policy
Mary observed it - it changed. Also in email archives
Another observational data point - it did.
Pages Printed Simple data point over time
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18F tours Done as we were moving - PBS might have data for themselves. FAS offered as part of the WAVE - we have this data. Could this be an interview data point? (Interview Lisa, Marci)
This was something that was done prior to the move by PBS to give folks a feel for what 18F would look like. Not sure if PBS has any data. I think I have some data on the groups from FAS we organized to do the tours
PBS Org for federal change
This is the group in PBS who sells this transformation to other customer agencies - I'd like any data on the work they've done with other agencies since this whole thing started
Messaging: - Administrator XZ
How does the messaging trickle down from the A-suite down. What happened with the transition to Dan?
This is looking for any information in the media that Martha Johnston shared as this was getting started as well as any internal messaging. Also, when Dan Tangerlini took over, the messaging he sent out (internally and externally) to continue the change - also his actions - he took it one step further than Martha and moved out into the POD as well. This might be something we ask in the focus groups for those who lived through it - what messages do they remember seeing, either internally or externally, from Martha or Dan?
- Commissioners Same thing for the Commissioners - ACs/RCs ditto - Change Agent Network for FAS and for all of THE AGENCY
Mary has these lists ditto
WAVE messaging
I have this
External News internet research Find this THE AGENCY blogs / articles
Are these each requesting news sharing? e.g. the number of THE AGENCY blogs that were published on the planned change?
It’s not just the quantitative number of blogs, but also the messaging that was shared versus the reality that exists today
Chatter Are these each requesting news sharing? Same as blogs Emails Are these each requesting news sharing? Same as blogs Conference room - Usage Is this also BookIt data? How has the
ratio from conference rooms to workstations worked?
Yes, but also maybe observational re: drop in rooms
- Signage Observational and Focus Group question
This is an observational data point - it might also be a focus group question regarding how the signage has changed since we first moved in
- Technology Observational and Focus Group question
same ^
- Phone Room Usage
Observational and Focus Group question
this will have to be observational since these are not on BookIt
- Pods Mobile work stations
Observational and Focus Group question.
same ^
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- Rollaways and lockers (storage space)
Increase in order or rollaways and lockers
Travel Funds Total travel budget I think this is a separate data point - travel
budgets versus dollars spent - budgets for travel have reduced significantly, although that was also related to the Vegas incident, not all because of the way we work
Guards and Janitorial Staff
Cost over time I think cost would be a better/easier data point here - both are contracted out
Office Supplies Total Budget? Are people hoarding in the same way.
Yes - I think the trend of spend here would be interesting. Also, the observational data point in the change - from each office ordering their own and hoarding supplies to centralizing it - Lisa's observations and stories about how many office supplies she reclaimed as people left CC that she didn't need to make an order to initially stock the supply closet in 18F. Also, I'm sure their processes have changed as they've settled in - that would be an interview question for Lisa
Utilities Total Budget? Total spend IT Hardware Assigned IT (e.g. desk phones, cell
phones, VOIP, laptops v desktop, monitors, etc.)
Floor monitors Human beings who monitor the floor - interview point and a focus group of the floor monitors
Supply Rooms Include in office supply story - could it be related to decentralization / access?
Conference room etiquette / evolution /. usage
Observational and fg question
Google Drive utilization
See above
Meeting space Utilization
See above
WAVE event - Post WAVE changes
Archival data that Mary has
FEVS All Scores? Workspace specific, telework, and overall scores
We used to ask some tw questions, but mostly just the trends of the overall score and maybe some workspace specific questions
TW Data See above Pre-vs post-WAVE surveys
See above I have not only the raw data scores of these surveys, I have already completed the analysis of this data and even presented a paper about it at SHRM, AOM, and AHRD
Tenant Satisfaction and other surveys
Ask Lisa for more information on what information was collected and for the data