MIS 696 2009 FINAL PROJECT

Toward a Definition of IS Identity

Proposing a prototype system for conducting objective, explorative research of the IS discipline

Dr. Jay F. Nunamaker, JrChris DillerXiming YuGray RossMing Yang

Jeffrey Jenkins

Contents

Introduction...................................................................................................................................4

Scope..........................................................................................................................................6

Theoretical Background.................................................................................................................8

The IS Identity in Literature........................................................................................................9

Past Projects................................................................................................................................ 10

Lessons Learned from Past Projects.........................................................................................13

The Essential Core as the Central Component of IS Research..............................................13

The Need of an Automatic Classification Algorithm.............................................................15

The Internal structure of the IS Discipline............................................................................15

The Internal Structure of the IS Discipline will Change Over Time.......................................20

Overview of Seminal Articles and Leading IS Researchers...........................................................22

Development of Prototype System..............................................................................................23

Test Data and Results.................................................................................................................. 27

Data Set 1: Key Words..........................................................................................................27

Data Set 2: Categories..........................................................................................................31

Implications of the Prototype......................................................................................................40

Technical Shortcomings........................................................................................................... 40

Analytical Shortcomings...........................................................................................................41

Future Research...........................................................................................................................41

Lessons Learned and Conclusion:................................................................................................42

Works Cited................................................................................................................................. 44

Appendix 1 – Code.......................................................................................................................48

Exhibit 1.A - Code - WordNet::Similarity Perl Scripts Sample...................................................48

Exhibit 1.B - Code - WordNet::Similarity Interface...................................................................49

Exhibit 1.C - Code - Self Organizing Map Interface...................................................................55

Appendix 2 – Key Words and Analyses........................................................................................55

Exhibit 2.A – Key Word Input Used for the Analysis.................................................................55

Exhibit 2.B - Seminal Article Keyword WordNet::Similarity Calculations.................................61

Exhibit 2.C – Category Sample Data from 2008......................................................................102

Introduction

The identity of the information systems (IS) discipline has been a topic of much debate

in academia and in past MIS 696 projects. Most past definitions of the IS identity have been

articulated from individual opinions, which are subjective and debatable by nature. Hence, a

widely accepted definition of the IS identity has not been found yet. To help overcome this

obstacle, we propose a prototype to perform an objective analysis of the IS discipline. The

advantage of a tool that provides an objective analysis is that the resulting definition of the IS

identity is subject to less debate. When in question, one can say, “this is what we did, and this is

what we found”.

Our prototype helps discover the IS identity by proving the means of performing a

within analysis of the discipline as well as an in-between analysis of the discipline and other

disciplines. The prototype accomplishes this by creating a self-organizing map. We briefly

describe each type of analysis below:

The within analysis answers the question of “what constitutes the IS discipline?” The

prototype uses a self-organizing map to generate clusters within the discipline. This helps us

understand the structure of the discipline (e.g., what major content topics are being studied)

and what elements IS studies share (e.g., rigor, relevance, IT artifacts, etc.). A graphical

depiction of a within analysis is shown below:

Figure 1: Within analysis of the IS discipline establishing the structure of the IS discipline

The in-between analysis answers the question of “what distinguishes IS research from

research of other disciplines?” Using the prototype, several separate disciplines can be mapped

into naturally occurring clusters. These clusters will demonstrate what the disciplines have in

common and how they are distinct. We refer to the factor(s) that distinguish IS research from

other research as the IS Essential Core. A graphical depiction of the in-between analysis is

shown in figure 2.

Figure 2: In-between analysis of the IS discipline determining the essential core of the discipline

Scope

This study is a proof-of-concept of using an objective, automated tool to help define the IS

identity. Hence, this study does not claim to have found the ultimate definition of the IS

identity, but rather provides a tool and justification for performing an objective analysis of the

IS discipline for future groups to utilize with more complete data sets. Hence the remaining of

our paper proceeds as follows:

1. We examine from a conceptual perspective the IS discipline. This allows us to develop

an understanding to gauge the success of our prototype in developing meaningful

clusters. We do this through a) examining theoretical perspectives of what constitutes

IS, b) we survey past IS literature discussing the IS identity, c) we examine past MIS 696

projects to see how past groups have defined information systems, and d) survey IS

seminal articles and leading IS researchers.

2. We develop a prototype system for performing an objective within and in-between

analyses.

3. We perform a pilot study based on seminal IS articles selected in previous year projects

to perform only a within analysis of the IS discipline.

4. We discuss the implications of the prototype, future research, and lessons learned.

.

Figure 3: Progression of Research Project

Theoretical Background

We adopt an ontological view of the IS discipline. In other words, IS as a discipline exists

in reality. In schools with IS programs, the university administration recognizes information

systems as a distinct department. The IS discipline has its own journals, conferences, and

professional organizations. IS departments are distinct from computer science, business

management, accounting, and other related disciplines in terms of curriculum and emphases.

Given that information systems has organization and is distinct in practice, we propose

that theoretically the IS discipline must have an internal structure and an essential core that

distinguishes IS research from research in other disciplines. The internal structure can include

content subdomains, research standards (e.g., rigor and relevance), accepted methodologies,

etc. An essential core is the central, innermost part of a discipline that distinguishes the

discipline from other disciplines (Raghupathi & Friedman, 2009). The essential core is the set of

research elements that indentify the relevant and important research topics of a discipline.

The IS Identity in Literature

Defining what constitutes the IS identity has been largely debated in acedamia. Some

scholars posit that the essential core of information systems is the IT artifact and its immediate

nomological net (Benbasat & Zmud, 2003; Orlikowski & Iacono, 2001). The IT artifact is

conceptualized as the “application of IT to enable or support some task(s) embedded within a

structure(s) that itself is embedded with a context(s)” (Benbasat & Zmud, 2003, p. 186), or a

“bundle of material and cultural properties packaged in some socially recognizable form such as

hardware and/or software” (Orlikowski & Iacono, 2001, p. 121). The immediate nomological net

includes 1) how IT is conceived, constructed, and implemented, 2) how IT is used, supported,

and evolves, and 3) how IT impacts the contexts with which they are embedded (Benbasat &

Zmud, 2003). IT artifact and its immediate nomological net excludes factors such as online

customer behavior, trust-building, research methodology, online services delivery,

collaboration, decision making, knowledge management, resource allocation, online

communication, the context of the artifact, and supply chain management (Benbasat & Zmud,

2003).

However, there are several limitations of this definition of IS identity. First, much gray

area exists of what is an IT artifact and what is not an IT artifact (Whinston & Geng, 2004).

Second, the definition of the IT artifact and its immediate nomological net is a very narrow view

of IS identity. For this reason, Alter (2003) suggest that the “work system” is a more appropriate

definition of IS identity. A work system consist of humans and machines perform work using

technology and information (Alter, 2003). This perspective moves away from the technology-

only artifact to a system that includes people (Raghupathi & Friedman, 2009). This broader-

view of IS identity allows for a more diverse range of research to be classified as information

systems research including topics like outsourcing, collaboration, institutional changes, trust in

IT and so forth.

From examination of extant literature, however, it is obvious that an accurate or at least

agreed upon definition of IS identity has not yet been articulated. One reason for this is that

past definitions of the IS identity have been subjective in nature; they are one’s opinion of what

the essential core should be. For this purpose, we propose a tool that could aid in determining

the essential core of information systems through an objective analysis.

Past Projects

We now examine past MIS 696 projects to see how they can aid us in conceptually

understanding the IS core and help us understand the challenges that are impeding an agreed

upon definition of the IS core. Table 1 summarizes past year projects. Following the table, we

discuses lessons learned from past projects.

Table 1. Summary of past year projects

Year Summary2008 Utilizing analyses, models, and reports from previous classes, the class of 2008

categorized 185 research articles collected, built a database, populated it with the

articles in both PDF and text format, conducted a variety of statistical and data/text

mining analyses, and summarized their findings.

2007 Took the first steps toward automating the classification of MIS research by

developing an algorithm and decision tree to aid readers in defining and identifying

key MIS research articles and how they fit within the MIS continuum.

2006 Extended the previous projects by exploring various research methodologies and

methodological paradigms. They discussed positivist and interpretivist research

paradigms, and seventeen research methodologies.

2005 Compiled the models of MIS from 2002, 2003, and 2004 into one comprehensive

model and identified key researches. In addition, they included charts explaining the

quantitative contribution of research in each subdomain.

2004 Added to the body of knowledge by identifying U.S. departments of key researchers

and their corresponding key research. They also represented the MIS domain visually

with observation, experimentation, theory building, and systems development at the

core, surrounded by sub-domains and reference disciplines

2003 Identified the top 101 MIS researchers, categorizing them by nine subdomains. The

class of 2003 also presented a three-dimensional model of MIS research

characteristics with axes representing behavior vs. technical, application vs. theory,

and rigor vs. relevance. Each seminal work was mapped onto the three-dimensional

model for enhanced visualization. In addition, profiles of researchers with key

contributions were identified. The Class of 2003 developed an Endnote reference

library of the research articles that they had collected.

2002 Re-categorized MIS into nine subdomains with a visual representation of the

subdomain relationships. They represented the MIS domain visually with observation,

experimentation, theory building, and systems development at the core, surrounded

by sub-domains and reference disciplines.

2001 Identified key researchers in MIS based on eight subdomains defined and they

presented a timeline of events in MIS.

2000 Expanded the research domains to 15—listing 90 key researchers and highlighting key

research contributions for each researcher. They represented sub-domains of the MIS

field through Venn diagram, capturing relationship of MIS with reference disciplines.

1999 Identified ten research areas in MIS:

Economics of information/decision science/operations research, Knowledge

management/artificial intelligence/information retrieval, Human-computer

interaction/psychology/visualization/communication, International

information systems, Social/ethics of information systems, Databases, Group

support systems, Data communications/security, Systems analysis and design,

Electronic commerce

Created a list of 47 key researchers in MIS and grouped by these ten research areas.

The 1999 class also created a three-dimensional representation for MIS subdomains –

behavioral vs. technical, rigor vs. relevance, emerging vs. contracting trends.

1998 Listed seven subdomains of MIS:

Overall MIS, Database technology, Software development and engineering,

Technology, Human-computer interaction, Organizational/behavioral,

Decision sciences

They listed over 45 influential researchers and provided a one-paragraph biography

for each researcher.

Lessons Learned from Past Projects

The Essential Core as the Central Component of IS Research

We learn that for research to be categorized as IS research, it must have the IS essential

core. Several past projects have suggested that the essential core is what “ties” subdomains of

IS research together and have classified influential researchers and seminal articles in

subdomains based on the research topic (e.g., collaboration, artificial intelligence, databases,

etc.). For example, the 2003 project proposed a circular model with the middle representing

the essential core. All of the subdomains of information systems radiated outward from the

essential core suggesting the identifying component of information systems research is the

essential core. The 2007 project suggests that essential core is the IT component represented as

a box between the other disciplines and applied MIS research. These models are shown in

figure 4.

Systems Analysis& Design

ArtificialIntelligence

Database

DecisionSciences

Human-ComputerInteraction

Collaboration

Economics ofInformatics

Engineering

ComputerScience

AppliedMathematics Psychology

Communication

SocialScience

Management

MIS Foundations

MISSub-domains

SocialInformatics

Economics

Figure 4: The 2003 and 2007 suggesting an essential core as the common factor of IS research

However, providing a robust definition of the IS essential core was not in the scope of

these past studies. For example, the class of 2003 intentionally left the middle of their circular

model representing the essential core empty. They acknowledge that the core does not exist in

their model, however, they recognize that defining this essential core is beyond the resources

and time-allotment of their project. Our project helps fill this gap by providing a means to

objectively determining the IS essential core.

The Need of an Automatic Classification Algorithm

The class of 2007 suggests that for a nonbiased depiction of the IS discipline and proper

classifications of IS research, one must develop objective classification algorithms. We agree

with this assessment and propose that this principle should also be applied to defining the IS

identity. The most accurate depiction of how the IS discipline is structure and how it is unique

from other disciplines will come from an objective within and between groups analysis of IS

research and research of other disciplines.

The Internal structure of the IS Discipline

Past projects have suggested that the IS discipline has an internal structure: pillars of

research subdomains, accepted methodologies, etc. This structure should not be mistaken as

the essential core. Recall the essential core should be what distinguishes information systems

research from the research of other disciplines. From this perspective, “subdomains” of IS

research based on research topic do not uniquely identify a discipline because they usually

originate from other disciplines.

This internal structure has been debated. For example, the number of subdomains has

varied by topic by number over the last 10 years (table 2). Furthermore, most groups have

acknowledge that the subdomains collected are only representative of the articles seminal

suggested by the staff of the University of Arizona and should not be interpreted as the

discipline as a hole. Our prototype will allow for a fast and objective analysis of the internal

structure for future groups and allow them to quickly incorporate a broader sample size of

articles.

Table 2. Variability of the number of subdomains

Number of Subdomains Class

7 1998

10 1999

15 2000

8 2001

9 2002

9 2003

8 2004

Other factors can also define the internal structure and expectations of the discipline.

Past projects have suggested quantitative and qualitative research, research methodology, unit

of analysis, and so forth. In common, past projects have collectively agree that rigor and

relevance are important aspect of the IS identity. Although rigor and relevance do not

necessarily distinguish IS research from research of other domains, they do set a standard of

what could qualify as IS academic research. Hence, we give a brief overview of the role of rigor

and relevance in the IS discipline.

Rigor refers to the use of methods and analyses appropriate to the task-at-hand and

often is a key difference between academic and consultancy contributions. (Benbasat and

Zmud, 1999). Rigor has been important to establishing IS as an academic discipline and gaining

the respect of more established academic disciplines.

Relevance is the relation of something to the matter on hand. In academic discussions,

relevance in research refers to the extent to which the practitioner community finds the

knowledge produced by research applicable to their real-world settings and problems. The

relevance in IS covers issues such as the criteria used to evaluate relevancy of research, the role

played by the transitory nature of information technology in such evaluation, the institutional

and political factors in IS research that contribute to relevance, and the very critical role of

information in widening or narrowing the disconnect between academia and practice in

contributing to relevance (Raghupathi and Friedman 2009).

However, the issue of evaluating relevance of research is not easy and straightforward,

since there is a tendency to become myopic in only recognizing research that produces

implementable outcomes. Not all research can culminate in implementable outcomes. For

example, research work that centers on creation of a theoretical framework broadens the state

of knowledge within a field, and as such, may be considered relevant, even if the results do not

directly map to implementable outcomes; therefore, the definition of relevance in IS research is

itself a delicate problem.

An interesting and prominent factor that impacts the relevance of research in IS—and is

more or less unique to the IS discipline—is the transitory and adaptive nature of information

technology. The speed at which technology is changing things in the business world is far ahead

of the speed at which research work gets accomplished. Therefore, by the time a research

artifact gets created, modeled, tested, and published, the environment may change to such an

extent that the proposed artifact is no longer considered current and relevant. This poses a

great challenge to the entire IS research community in ensuring relevancy.

In addition to rapidly changing information technology, there are institutional and

political factors that further influence the relevance of research. The level of patronage

imparted by academic institutions on academic work is one such critical factor. A majority of

business schools and educational institutions in North America focus heavily on empirical

research for consideration of tenure and other career decisions, thus driving research to be

heavily concentrated on positivist/empirical work when compared to interpretive, theory-

building, qualitative work. An institutional change, of the nature that both acknowledges and

rewards the creation of qualitative, theory-building work as stepping stones to

conceptualization of future work, is necessary in making up a balanced research portfolio in IS.

Also, a field needs to experience the formative phase of theory-driven inquiry before it

endeavors to produce knowledge that is relevant for practice.

From a philosophical perspective on the nature and goal of IS research in achieving

relevancy, IS research could follow the model of research inquiry in the professional sciences

such as medicine, law, engineering, and architecture. Traditionally, IS research has been

associated as a means of inquiry within the natural science paradigm; however, since IS

represents a close link between academia and practice, similar to medicine, which is a

professional science, it may be reasonable to follow the research procedures used in these

professional sciences. In this regard, IS research, in addition to theory building, would also

include designing and evaluating artifacts that solve real-world problems (Hevner et al. 2004).

Hevner et al. (2004) proposed the following concept framework for understanding, executing,

and evaluating IS research combining behavioral-science and design-science paradigms.

Business needs are assessed and evaluated within the context of organizational strategies,

structure, culture, and existing business processes. They are positioned relative to existing

technology infrastructure, applications, communication architectures, and development

capabilities. Together these define the business need or “problem” as perceived by the

researcher. Framing research activities to address business needs assures research relevance.

Rigor is achieved by appropriately applying existing foundations and methodologies.

Figure 5. Relationship of rigor and relevance from Hevner et al. (2004)

The Internal Structure of the IS Discipline will Change Over Time

Past groups suggest that research domains evolve over time. This is particularly salient

in IS because information systems quickly evolve and the impact of information systems is

rapidly broadening. For example, according to the 2003 group project, John McCarthy first

coined the research domain of artificial intelligence in 1956. However, the IS discipline did

restrict itself to artificial intelligence. It evolved. For instance, collaboration started gaining

importance in the 1980s, became extremely popular in the 1990s, and is now an integral

subdomain of information systems research. Hence, the constant factor of IS research is not the

subdomains of research, but rather the IS essential core. Figure 6 displays the relationship

between the IS essential core and research subdomains. Our prototype provides an easy

method for quickly determining the IS internal structure as time passes.

Figure 6. The relationship between the essential core and research domains

The debate of whether or not subdomains of research should expand has been ongoing

for years. Some research argues in favor of diversity of research topics (Raghupathi & Friedman,

2009). Diversity refers to a variety of research domains, theories, analyses, levels of analyses,

methodologies, and so forth. Arguments have been made that diversity facilitates knowledge

creation. It includes borrowing ideas and concepts from other disciplines and extending

information research to new domains. Opponents of diversity argue that the discipline needs

well-defined borders to enhance legitimacy of the field (Benbasat & Weber, 1996; Weber,

1987) and prevent an “anything goes” attitude that can harm a discipline (Robey, 1996). These

people argue that if no boundary exists, one cannot aquire depth in a discipline.

In conjunction with both views, we recommend a boundary that is “flexible and shifting

so as to have the capability to embrace new ideas, concepts, and methods” (Raghupathi &

Friedman, 2009, p. 339). To do this, we suggest that either for an article to qualify as IS

research, it must have the IS essential core. However, the specific content subdomain does not

limit IS research. This definition allows not only for diversity in topic matter, but also depth in

the discipline. Depth is achieved by examining the IS essential core at all levels of research and

in a variety of subject matters. Figure 7 describes how depth can be accomplished through

studying the IS essential core rather than limiting the definition of IS to subject-matter

subdomains.

Figure 7. Depth in Information Systems

Overview of Seminal Articles and Leading IS Researchers

To help us gain a conceptual understanding of the IS essential core, we performed a high-level

examination of seminal IS articles and leading IS researchers. To perform this examination, we

studied the PowerPoint presentations of previous years’ classification of top IS research into

research domains. We also quickly read 185 seminal articles contained in a database created by

the 2008 project group. We believe that this analysis provided the following benefits to our

class:

It helped us understand the breadth of information systems research and the

complexities or defining an essential core

It gave us a background knowledge to gauge the success of our prototype system (e.g.,

are the categorizations result from our prototype meaningful)

It helped us become familiar with the researchers that have been influential in shaping

the IS identity thus far.

Development of Prototype System

Our prototype aid researchers in conducting objective, exploratory research of the IS

identity. In particular, this tool allows for 1) within and 2) in-between analysis of the IS

discipline.

Our solution threads these three disparate implementations together in a mash-up to

create a start-to-finish solution for analyzing keyword and categorical data for the MIS domain.

A Graphical User Interface (GUI) was created to handle the WordNet::Similarity calculations

while another GUI was created to implement the SOM. We describe the three disparate

technologies below:

WordNet

WordNet is a lexical database of English, containing nouns, verbs, adjectives, and

adverbs. WordNet is unique in that it not only stores the definitions of words, but also the

ancestry of words so that word similarity can be traced up and down the ancestry tree between

words. This method of word similarity calculation allows for numerical assignment of word

similarity, creating the opportunity to create quantification applications for similarities between

words.

WordNet::Similarity

WordNet::Similarity is a Perl implementation of a quantification application for word

similarity built on WordNet. These quantifications are semantic relatedness measures

described by Leacock & Chodorow (1998), Jiang & Conrath (1997), Resnik (1995), Lin (1998),

Hirst & St-Onge (1998), Wu & Palmer (1994), the extended gloss overlap measure by Banerjee

and Pedersen (2002), and two measures based on context vectors by Patwardhan (2003).

Additionally, Path Distance is established in the package, mapping the distance of the vector

between words and is the default relatedness calculation.

MATLAB SOM Toolbox

The MATLAB SOM Toolbox is an implementation of the self-organizing map technique in

the MATLAB environment. MATLAB is a powerful mathematical calculation environment and is

ideal for use in implementing neural network algorithms. The SOM Toolbox allows for the

dynamic definition of several self-organizing map properties, including grid size, neighbor

calculations, epoch definitions, and training length. Additionally, the toolbox allows for GUI

creation of the self-organizing map, making the implementation a robust approach to analyzing

neural network data.

Integration

The WordNet::Similarity GUI was named the Similarity Developer and was created in

AutoIt, a powerful Windows-based scripting language. The user begins by selecting a text file

for parsing and an algorithm to use for word relatedness. The GUI then reads the text file,

expecting nouns to appear on separate lines for calculation. The script cleans up any bad input

data to ensure no errors and then checks to ensure the nouns appear in the WordNet database.

The application then creates a matrix of the nouns by the nouns to compare the words to each

other for calculation. For instance, a list containing dog and cat would have four calculations:

dog and dog, dog and cat, cat and dog, and cat and cat. The algorithm selected by the user

determines the Perl script to use for calculation and is ultimately the values of the relatedness

between the nouns. The script produces a formatted, comma-delimited file containing the

nouns and values in the matrix after processing.

The MATLAB SOM GUI was built using the MATLAB SOM Toolbox, MATLAB GUI Creator,

and MATLAB Compiler. The user begins by selecting a file to read in, and two different types of

files may be used (figure 7). The first file is the text file produced by the Similarity Developer

and will map the nouns and their relatedness in the SOM. Another file accepted is a text file

containing labels on the first line, categories on the second, and a matrix of values where the

matrix is the number of labels by the number of categories. This allows for categorical analysis.

For example, the labels may contain a list of articles, such as Straub-Welke-2000, King-1987,

and Nunamaker-2006 (article labels fabricated). Categories could include categories defined by

final projects from MIS 696A previous years, such as Relevance, Rigor, Technical, and

Behavioral. Table 3 displays a sample matrix (values fabricated).

Table 3. Sample matrix

Relevance Rigor Technical Behavioral

Straub-Welke-2000 2 6 4 3

King-1987 7 1 3 4

Nunamaker-2006 5 3 3 5

These categories could then be used in the self organizing map to group similar articles

by category to attempt to group like techniques in the seminal work area.

After reading the text file, the self organization map GUI allows for the user to specify a

wide range of variables used to create the self organization map, including training times,

iterations, neighborhood type, lattice type, algorithm used, and plotting techniques (figure 8).

Once run, the user can select different plotting types to acquire different self organization map

graphics for analysis.

Figure 7: File Input

Figure 8: SOM GUI

Test Data and Results

Data Set 1: Key Words

To test the proof-of-concept of our prototype, we ran a pilot study of keywords from a

183 influential articles indentified in past years through our self-organization map. Keys words

define the topic content of an article; hence, we predict that this will result in content research

subdomains of the IS discipline. The input data is shown in appendix 3 along with the similarity

calculations. Below we discuss the results of our pilot study.

Figure 9 displays a self-organizing map of the key words from seminal articles. As can be

seen, natural occurring groups occur in the self-organizing map. For example, a cluster of

keywords revolves around the word “database”. As another example, a cluster of keywords

revolves around the word “processing”. As keyword summarizes the content matter of articles,

we suspect that a key word analysis would results in a self-organizing map of content specific

subdomains of the IS discipline.

Figure 9: Seminal Article Keyword Lattice - Labels

Figure 10 displays a Lattice – hits analysis. The hits analysis displays the number of “hits”

or keywords in each cluster. Hence, we are able to determine the major clusters of is research.

As examples, major cluster revolve around processing, development, communication, and

computing architecture.

Figure 10: Seminal Article Keyword Lattice - Hits

Figure 11 selects a particular keyword – anonymity – and displays its relationship to

other keyword clusters. The “hotter” the color (red, orange yellow) the more related the cluster

is to the word anonymity; the “colder” the color (blue, purple), the less related the cluster is to

the word anonymity.

Figure 11: Seminal Article Keyword Component Matrix - Anonymity

Figure 12 provides a 3-D graphical representation of the how similar clusters are related

to the word anonymity.

Figure 12: Seminal Article Keyword Component Matrix Interpolation - Anonymity

Data Set 2: Categories

In dataset 2, we plotted eight dimensions collected by the 2008 project regarding rigor,

relevance, behavioral, technical, review, innovative, theoretical, and applied for 185 seminal

articles. The articles are classified on figure 13 and the dimensions are shown on figures 14-21.

Figure 13. Label plot of articles

Figure 14. Component matrix - rigor

Figure 15. Component matrix - relevance

Figure 16. Component matrix – behavioral

Figure 17. Component matrix – technical

Figure 18. Component matrix – theoretical

Figure 19. Component matrix – applied

Figure 20. Component matrix – innovation

Figure 21. Component matrix – review

Much valuable information can be extracted from the above models. Below we describe

some cursory observations that we can make from this sample dataset.

High rigor and relevance can exist together (they are not opposites). Red area

overlaps in the two matrixes.

Technical and behavioral research rarely coexist together (they are on opposite

sides of matrix). This is also true with applied and theoretical research.

Technical research appears to be more rigorous than behavioral research;

behavioral research appears to be more relevant than technical research.

Theoretical and applied research can occur regardless if the research is

behavioral or technical.

Technical research is often categorized as more innovative than behavioral

research.

Implications of the Prototype

We believe that the proof-of-concept was successful, although currently with

limitations. Based on our conceptual understanding of the IS discipline, semi-meaningful

clusters did appear— for example database, processing, architecture, design, programming and

so forth. More obvious, meaningful clusters did appear when comparing rigor, relevance,

behavioral, technical, theoretical, applied, innovative, and review categories. We could easily

see where articles fit in the matrix and how the matrices related to each other. Based on our

conceptual understanding of the IS study, we believe that these clusters were meaningful in the

IS discipline. The results indicate that it could be useful to compare the IS discipline to other

disciplines to identify the IS essential core that makes IS research unique.

However, this prototype is not without limitations. We discuss these limitations below.

Technical Shortcomings

Unfortunately, time limited some of the technical functionality desired from the system.

Primarily, instead of using two different applications for analysis, the programs should be

merged to create a cleaner input-output solution for analysis. Additionally, the Perl scripts as

they exist today expect only noun entry of the first semantically available definition from

WordNet, not allowing for any descriptor words in the labels or alternate definitions. This

makes the script very strict and throws out many keywords from the seminal works, as many

noun-phrase keywords do not exist together in WordNet. The application should be modified

to support noun-phrases and alternate word definitions to ensure a large dataset for analysis

and produce significantly better results.

Furthermore, some of the words had different meaning in an IS context than as defined

on WordNet. Thus, they may have been misclassified. Future research should fix these

inconsistencies in a customer dictionary and consider it in the analysis.

Analytical Shortcomings

Due to the robustness of the application produced, little time was spent analyzing the

results and trying out many different scenarios. The system as is should be viewed as a proof-

of-concept that we can use automated systems to classify and categorize the IS space and the

work of analysis should be done by future generations of MIS 696A students. Given more time,

we would have liked to have optimized the grid size of the SOM through a series of trials and

compared keyword and categorical data of other disciplines to the IS SOM to find similarities

and differences.

Future Research

As previously mentioned, future classes should fix the analytical and technical

shortcoming mentioned earlier.

Second, future research should test a larger dataset with our prototype. We suggest

that all keywords from AIS Six pure IS journals be tested for a specified time period to avoid a

biased selection of keywords: AIS Six: MISQ, ISR, JMIS, JAIS, ISJ, EJIS.

Third, other dimensions should be tested in our system such as rigor, relevance,

methodologies, etc. These will also be valuable to understanding the internal structure of the IS

discipline.

Finally, future research should gather dimensions from other disciplines (e.g,. computer

science, management, accounting, psychology, etc.) and run them through the prototype to

compare them against the dimensions of IS. This will aid researchers in understanding what is

common between other discipline and the IS discipline and how the IS discipline is unique.

Understanding how the IS discipline is unique helps define the IS essential core.

Lessons Learned and Conclusion:

This project has broadened our understanding of the IS discipline and design science. Below

we summarize some of the lessons we have learned from our project:

Design science is valuable because it helps you understand phenomenon that would

otherwise not be discernable through pure conceptual studies. For example, we did

not foresee the challenge of calculating similarity scores for words that have a

different meaning in the IS discipline than a normal dictionary would indicate.

This study has helped us become familiar with the breadth of the IS discipline and

the challenges associated with defining the IS identity.

We suggest there is a difference between defining the internal structure of the IS

discipline (e.g., research subdomains) and the IS essential core (e.g., what makes IS

research distinct from research in other disciplines).

We propose a prototype for an objective, automatic analysis of the internal

structure of the IS discipline and an analysis of the commonalties and difference

between the IS discipline and other disciplines. This will help future researchers

define and support a model of IS identity.

In conclusion, indicate that this prototype has potential to help objectively defining the

IS Identity and recommend that future classes build on this prototype to establish a robust

definition of the IS discipline.

Works Cited

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visibility and high-impact research. Mis Quarterly, 29(3), 381-398.

Alter, S. (2003). 18 Reasons Why IT-Reliant Work Systems Should Replace "The IT Artifact" as

the Core Subject Matter of the IS Field. Communications of the Association for

Information Systems, 12(23), 336-395.

Benbasat, I., & Weber, R. (1996). Research commentary: Rethinking ''diversity'' in information

systems research. Information Systems Research, 7(4), 389-399.

Banerjee S. (2002) Adapting the Lesk algorithm for word sense disambiguation to WordNet.

Master Thesis, University of Minnesota, Duluth,

Banerjee S. and Pedersen T. (2002). An Adapted Lesk Algorithm for Word Sense Disambiguation

Using WordNet. In Proceeding of the Fourth International Conference on Computational

Linguistics and Intelligent Text Processing (CICLING-02). Mexico City.

Banerjee S. and Pedersen T. (2003). Extended Gloss Overlaps as a Measure of Semantic

Relatedness. In the Proceedings of the Eighteenth International Joint Conference on

Artificial Intelligence. Acapulco, Mexico.

Benbasat, I., & Zmud, R. W. (2003). The Identity Crisis within the IS Discipline: Defining and

Communicating the Discipline's Core Properties. MIS Quarterly, 27(2), 183-194.

Budanitsky A. and Hirst G. (2001). Semantic distance in WordNet: An experimental, application-

oriented evaluation of five measures. In Workshop on WordNet and Other Lexical

Resources, Second meeting of the North American Chapter of the Association for

Computational Linguistics. Pittsburgh, PA.Fellbaum C., editor. WordNet: An electronic

lexical database. MIT Press, 1998.

Galliers, R. D. (2004). Trans-disciplinary research in information systems. [doi: DOI:

10.1016/j.ijinfomgt.2003.09.012]. International Journal of Information Management,

24(1), 99-106.

Hirst G. and St-Onge D. (1998). Lexical Chains as representations of context for the detection

and correction of malapropisms. In Fellbaum 1998, pp. 305-332.

Jiang J. and Conrath D. (1997). Semantic similarity based on corpus statistics and lexical

taxonomy. In Proceedings of International Conference on Research in Computational

Linguistics. Taiwan.

King, J. L., & Lyytinen, K. (2004). Reach and grasp. Mis Quarterly, 28(4), 539-551.

Leacock C. and Chodorow M. (1998). Combining local context and WordNet similarity for word

sense identification. In Fellbaum 1998, pp. 265-283.

Orlikowski, W. J., & Iacono, C. S. (2001). Desperately Seeking the ‘IT’ in IT Research—A Call to

Theorizing the IT Artifact. Information Systems Research, 12(2), 121-134.

Lin D. (1998). An information-theoretic definition of similarity. In Proceedings of the 15th

International Conference on Machine Learning. Madison, WI.

Patwardhan S. (2003) Incorporating dictionary and corpus information into a vector measure of

semantic relatedness. Master Thesis, University of Minnesota, Duluth.

Patwardhan S., Banerjee S. and Pedersen T. (2002). Using Semantic Relatedness for Word Sense

Disambiguation. In Proceedings of the Fourth International Conference on Intelligent

Text Processing and Computational Linguistics. Mexico City.

Patwardhan S. and Pedersen T. (2006). Using WordNet-based Context Vectors to Estimate the

Semantic Relatedness of Concepts. In the Proceedings of the EACL 2006 Workshop

Making Sense of Sense - Bringing Computational Linguistics and Psycholinguistics

Together. Trento, Italy.

Raghupathi, V., & Friedman, L. (2009). A Framework for Information Systems Metaresearch:

The Quest for Identity. Communications of the Association for Information Systems,

24(1), 50.

Resnik P. (1995). Using information content to evaluate semantic similarity. In Proceedings of

the 14th International Joint Conference on Artificial Intelligence, pages 448-453.

Montreal.

Resnik P. (1999). Semantic Similarity in a Taxonomy: An Information- Based Measure and its

Applications to Problems of Ambiguity in Natural Language. Journal of Artificial

Intelligence Research, 11, 95-130.

Robey, D. (1996). Research commentary: Diversity in information systems research: Threat,

promise, and responsibility. Information Systems Research, 7(4), 400-408.

Schutze H. 1998. Automatic Word Sense Discrimination. Computational Linguistics, 24(1):97-

123.

Weber, R. (1987). Toward a Theory of Artifacts: A Paradigmatic Base for IS. Journal of

Information Systems, 1(2), 3-19.

Whinston, A. B., & Geng, X. J. (2004). Operationalizing the essential role of the information

technology artifact in information systems research: Gray area, pitfalls, and the

importance of strategic ambiguity. Mis Quarterly, 28(2), 149-159.

Wu Z. and Palmer M. (1994). Verb Semantics and Lexical Selection. In Proceedings of the 32nd

Annual Meeting of the Association for Computational Linguistics. Las Cruces, New

Mexico.

Appendix 1 – Code

Exhibit 1.A - Code - WordNet::Similarity Perl Scripts Sample

#! /usr/local/bin/Perl -w

use strict;

use warnings;

# Sample Perl program, showing how to use the

# WordNet::Similarity measures.

# WordNet::QueryData is required by all the

# relatedness modules.

use WordNet::QueryData;

# 'use' each module that you wish to use.

use WordNet::Similarity::random;

use WordNet::Similarity::path;

use WordNet::Similarity::wup;

use WordNet::Similarity::lch;

use WordNet::Similarity::jcn;

use WordNet::Similarity::res;

use WordNet::Similarity::lin;

use WordNet::Similarity::hso;

use WordNet::Similarity::lesk;

use WordNet::Similarity::vector;

use WordNet::Similarity::vector_pairs;

# Get the concepts.

my $wps1 = shift;

my $wps2 = shift;

unless (defined $wps1 and defined $wps2) {

print STDERR "Undefined input\n";

print STDERR "Usage: sample.pl synset1 synset2\n";

print STDERR "\tSynsets must be in word#pos#sense format (ex., dog#n#1)\n";

exit 1;

}

# Load WordNet::QueryData

my $wn = WordNet::QueryData->new;

die "Unable to create WordNet object.\n" if(!$wn);

my $path = WordNet::Similarity::path->new($wn, "config-files/config-path.conf");

die "Unable to create path object.\n" if(!defined $path);

my ($error, $errString) = $path->getError();

die $errString if($error > 1);

my $value = $path->getRelatedness($wps1, $wps2);

($error, $errString) = $path->getError();

die $errString if($error > 1);

print "$value";

print "Path ErrorString = $errString\n" if $error;

__END__

Exhibit 1.B - Code - WordNet::Similarity Interface

#cs ----------------------------------------------------------------------------

AutoIt Version: 3.3.0.0

Author: Gray Ross

Script Function:

Script to Acquire Word Similarities Through Various Methods.

#ce ----------------------------------------------------------------------------

;; Includes Files

#include <Array.au3>

#include <File.au3>

#include <GUIConstantsEx.au3>

;; Declare Constants

Global Const $TEMP = "C:\Temp\"

Global Const $TEMP_FILENAME = "temp.txt"

Global Const $SUFFIX_ADJECTIVE = "#a#1"

Global Const $SUFFIX_ADVERB = "#r#1"

Global Const $SUFFIX_NOUN = "#n#1"

Global Const $SUFFIX_VERB = "#v#1"

Global Const $TITLE = "Similarity

Developer"

Global Const $WIDTH = 300

Global Const $HEIGHT = 150

Global Const $PADDING = 10

Global Const $INPUT_WIDTH = 240

Global Const $INPUT_HEIGHT = 20

Global Const $LABEL_FILE = "Specify a file for

comparison."

Global Const $LABEL_SCRIPT = "Specify a technique for

comparison."

Global Const $SIMILARITY_MEASURES_PRIMARY = "Path Length"

Global Const $SIMILARITY_MEASURES = "Leacock & Chodorow|Wu & Palmer|

Resnik|Jiang & Conrath|Lin|Adapted Lesk (Extended Gloss Overlaps)|Gloss Vectors|Gloss Vectors (pairwise)|Hirst & St-Onge"

Global Const $BUTTON_BROWSE_LABEL = "..."

Global Const $BUTTON_BROWSE_WIDTH = 30

Global Const $BUTTON_BROWSE_HEIGHT = 20

Global Const $BUTTON_CONFIRM_LABEL = "OK"

Global Const $BUTTON_CONFIRM_WIDTH = 60

Global Const $BUTTON_CONFIRM_HEIGHT = 20

Global Const $BUTTON_CANCEL_LABEL = "Cancel"

Global Const $BUTTON_CANCEL_WIDTH = 60

Global Const $BUTTON_CANCEL_HEIGHT = 20

Global Const $PROMPT_BROWSE_TITLE = "Please select a text file to use for

comparison."

Global Const $PROMPT_BROWSE_FILETYPES = "Text Files (*.txt)|All (*.*)"

Global Const $PROMPT_ERROR_TITLE = "Error Encountered"

Global Const $PROMPT_ERROR_FILE_SELECT = "Please select a file to compare before

confirming."

Global Const $FILE_SUFFIX = "-WordNetSimilarity.txt"

Global Const $FILE_ERROR_SUFFIX = "-UnidentifiableWords.txt"

Global Const $COMMAND_Perl_SIMILARITY = "Perl "

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_DIRECTORY = "C:\WordNet\Similarity\samples\"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_HSO = "hso.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_JCN = "jcn.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_LCH = "lch.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_LESK = "lesk.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_LIN = "lin.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_PATH = "path.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_RES = "res.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_VECTOR = "vector.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_VECTOR_PAIRS = "vector_pairs.pl"

Global Const $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_WUP = "wup.pl"

Global Const $TEST_WORD = "object"

;; Declare Global Variables

Global $year = @YEAR

Global $month = @MON

Global $day = @MDAY

Global $hour = @HOUR

Global $minute = @MIN

Global $second = @SEC

Global $timestamp = $year & $month & $day & "-" & $hour & $minute & $second

Global $filenameOutput = $timestamp & $FILE_SUFFIX

Global $filenameError = $timestamp & $FILE_ERROR_SUFFIX

_Similarity()

;; Calculate the similarities of words provided by an input file and write results to an output file.

;;

;; RETURNS Boolean - True if successful

;; ERROR 1 - Premature termination of application

;; ERROR 2 - Input file path does not exist

;; ERROR 3 - Input file cannot be opened or read

;; ERROR 4 - Output file cannot be opened or written

Func _Similarity()

Local $error = False

Local $msg

Local $inputPrompt

Local $inputPath

Local $buttonBrowse

Local $buttonConfirm

Local $buttonCancel

Local $arrayInput

Local $arrayOutput

Local $filePath

Local $fileInput

Local $fileOutput

Local $PerlOutput

Local $compareFirst

Local $compareSecond

Local $output

Local $errorDuplicate[1]

Local $errorCompare[1]

GUICreate( $TITLE, $WIDTH, $HEIGHT )

;; Create file browse button and input box

GUICtrlCreateLabel( $LABEL_FILE, $PADDING, $PADDING )

$inputPath = GUICtrlCreateInput( "", $PADDING, $PADDING * 3, $INPUT_WIDTH, $INPUT_HEIGHT )

$buttonBrowse = GUICtrlCreateButton( $BUTTON_BROWSE_LABEL, $INPUT_WIDTH + $PADDING * 2, $PADDING * 3, $BUTTON_BROWSE_WIDTH, $BUTTON_BROWSE_HEIGHT )

;; Create the dropdown object and first item

GUICtrlCreateLabel( $LABEL_SCRIPT, $PADDING, $PADDING * 6 )

$comboScripts = GUICtrlCreateCombo( $SIMILARITY_MEASURES_PRIMARY, $PADDING, $INPUT_HEIGHT + $PADDING * 6, $INPUT_WIDTH, $INPUT_HEIGHT )

;; Add additional selection items

GUICtrlSetData( -1, $SIMILARITY_MEASURES )

;; Add OK and Cancel buttons

$buttonCancel = GUICtrlCreateButton( $BUTTON_CANCEL_LABEL, $PADDING, $HEIGHT - $PADDING - $BUTTON_CANCEL_HEIGHT, $BUTTON_CANCEL_WIDTH,

$BUTTON_CANCEL_HEIGHT )

$buttonConfirm = GUICtrlCreateButton( $BUTTON_CONFIRM_LABEL, $WIDTH - $PADDING - $BUTTON_CONFIRM_WIDTH, $HEIGHT - $PADDING - $BUTTON_CONFIRM_HEIGHT,

$BUTTON_CONFIRM_WIDTH, $BUTTON_CONFIRM_HEIGHT )

GUISetState()

;; Run the GUI until the dialog is closed

While 1

$msg = GUIGetMsg()

If $msg = $GUI_EVENT_CLOSE Or $msg = $buttonCancel Then

$error = True

ExitLoop

ElseIf $msg = $buttonBrowse Then

$inputPrompt = FileOpenDialog( $PROMPT_BROWSE_TITLE, @WindowsDir & "", $PROMPT_BROWSE_FILETYPES, 1 )

GUICtrlSetData( $inputPath, $inputPrompt )

ElseIf $msg = $buttonConfirm Then

$filePath = GUICtrlRead( $inputPath )

If $filePath = "" Then

MsgBox( 4096, $PROMPT_ERROR_TITLE, $PROMPT_ERROR_FILE_SELECT )

Else

ExitLoop

EndIf

EndIf

WEnd

$selectedScript = GUICtrlRead( $comboScripts )

If $selectedScript = "Path Length" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_PATH

ElseIf $selectedScript = "Leacock & Chodorow" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_LCH

ElseIf $selectedScript = "Wu & Palmer" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_WUP

ElseIf $selectedScript = "Resnik" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_RES

ElseIf $selectedScript = "Jiang & Conrath" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_JCN

ElseIf $selectedScript = "Lin" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_LIN

ElseIf $selectedScript = "Adapted Lesk (Extended Gloss Overlaps)" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_LESK

ElseIf $selectedScript = "Gloss Vectors" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_VECTOR

ElseIf $selectedScript = "Gloss Vectors (pairwise)" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_VECTOR_PAIRS

ElseIf $selectedScript = "Hirst & St-Onge" Then

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_HSO

Else

$PerlScript = $COMMAND_Perl_SIMILARITY_SCRIPT_FILENAME_PATH

EndIf

If Not $error Then

If FileExists( $filePath ) Then

_FileReadToArray( $filePath, $arrayInput )

If Not @error Then

;; Test words in array for duplication and flag for deletion if duplicated

For $i = 1 To $arrayInput[0]

For $j = $i + 1 To $arrayInput[0]

If StringLower( $arrayInput[$i] ) = StringLower( $arrayInput[$j] ) Then

$duplicate = False

For $h = 1 To $errorDuplicate[0]

If $errorDuplicate[$h] = $j Then

$duplicate = True

EndIf

Next

If Not $duplicate Then

_ArrayAdd( $errorDuplicate, $j )

$errorDuplicate[0] = $errorDuplicate[0] + 1

EndIf

EndIf

Next

Next

;; Delete words duplicated in array

_ArraySort( $errorDuplicate, 1, 1 )

For $i = 1 To $errorDuplicate[0]

_ArrayDelete( $arrayInput, $errorDuplicate[$i] )

Next

$arrayInput[0] = $arrayInput[0] - $errorDuplicate[0]

;; Test words in array for presence in WordNet::Similarity and flag for deletion if not present

For $i = 1 To $arrayInput[0]

$PerlOutput = RunWait( @ComSpec & " /k cd " & $COMMAND_Perl_SIMILARITY_SCRIPT_DIRECTORY & " && " &

$COMMAND_Perl_SIMILARITY & $PerlScript & " " & $arrayInput[$i] & $SUFFIX_NOUN & " " & $TEST_WORD & $SUFFIX_NOUN & " > " & $TEMP & $TEMP_FILENAME & " && exit" )

$output = FileReadLine( $TEMP & $TEMP_FILENAME )

If StringInStr( $output, "ErrorString" ) Then

_ArrayAdd( $errorCompare, $i )

$errorCompare[0] = $errorCompare[0] + 1

EndIf

Next

;; Write words that are not present in WordNet::Similarity to error file and delete words from array

_ArraySort( $errorCompare, 1, 1 )

$fileError = FileOpen( $TEMP & $filenameError, 1 + 8 )

For $i = 1 To $errorCompare[0]

FileWriteLine( $fileError, $arrayInput[$errorCompare[$i]] )

_ArrayDelete( $arrayInput, $errorCompare[$i] )

Next

FileClose( $fileError )

$arrayInput[0] = $arrayInput[0] - $errorCompare[0]

;; Write words in array to first line of output file using comma separation

$fileOutput = FileOpen( $TEMP & $filenameOutput, 1 + 8 )

For $i = 1 To $arrayInput[0]

FileWrite( $fileOutput, $arrayInput[$i] )

If $i < $arrayInput[0] Then

FileWrite( $fileOutput, "," )

Else

FileWriteLine( $fileOutput, "" )

EndIf

Next

;; Compare words using WordNet::Similarity and write results to output file using comma separation

For $i = 1 To $arrayInput[0]

$compareFirst = $arrayInput[$i] & $SUFFIX_NOUN

For $j = 1 To $arrayInput[0]

$compareSecond = $arrayInput[$j] & $SUFFIX_NOUN

$PerlOutput = RunWait( @ComSpec & " /k cd " & $COMMAND_Perl_SIMILARITY_SCRIPT_DIRECTORY &

" && " & $COMMAND_Perl_SIMILARITY & $PerlScript & " " & $compareFirst & " " & $compareSecond & " > " & $TEMP & $TEMP_FILENAME & " && exit" )

$output = FileReadLine( $TEMP & $TEMP_FILENAME )

FileWrite( $fileOutput, $output )

If $j < $arrayInput[0] Then

FileWrite( $fileOutput, "," )

Else

FileWriteLine( $fileOutput, "" )

EndIf

Next

Next

FileClose( $fileOutput )

Else

$error = True

SetError( 3 )

EndIf

Else

$error = True

SetError( 2 )

EndIf

Else

SetError( 1 )

EndIf

EndFunc

Exhibit 1.C - Code - Self Organizing Map Interface

function [res,data,labels,comp_names] = readsomfile(filename) % This function reads the SOM filename%% Gray Ross % Assigning outputres = 1;data = [];labels = {};comp_names = {}; % Attempting to read the file two ways. If neither works, error.failed = 0;try data = textread(filename,'%n','delimiter',',','headerlines',1); dtype = 1;

catch failed = 1;endif ( failed ) try data = textread(filename,'%n','delimiter',',','headerlines',2); dtype = 2; catch res = -1; return endend % Reading the dataif ( dtype == 1 ) % Re-read the file in as a cell to get the header lines cellData = textread(filename,'%s','delimiter',','); % Determining the number of elements (data should be square matrix) nPts = sqrt(length(data)); dataPts = floor(nPts); labels = cellData(1:dataPts); data = reshape(data,dataPts,dataPts); % Removing any underscores for i = 1:length(labels) labels{i} = strrep(labels{i},'_','-'); end comp_names = labels; else % Re-read the file in as a cell to get the header lines cellData = textread(filename,'%s','delimiter','\n'); % Parsing the first two rows of data labels = strread(cellData{1},'%s','delimiter',','); for i = 1:length(labels) labels{i} = strrep(labels{i},'_','-'); end comp_names = strread(cellData{2},'%s','delimiter',','); for i = 1:length(comp_names) comp_names{i} = strrep(comp_names{i},'_','-'); end % Reshaping data matrix data = reshape(data,length(comp_names),length(labels))'; end

function varargout = somgui(varargin)% SOMGUI M-file for somgui.fig% SOMGUI, by itself, creates a new SOMGUI or raises the existing% singleton*.%% H = SOMGUI returns the handle to a new SOMGUI or the handle to% the existing singleton*.%% SOMGUI('CALLBACK',hObject,eventData,handles,...) calls the local% function named CALLBACK in SOMGUI.M with the given input arguments.%% SOMGUI('Property','Value',...) creates a new SOMGUI or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before somgui_OpeningFcn gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to somgui_OpeningFcn via varargin.%% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one% instance to run (singleton)".%% See also: GUIDE, GUIDATA, GUIHANDLES % Edit the above text to modify the response to help somgui % Last Modified by GUIDE v2.5 06-Dec-2009 16:09:59 % Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @somgui_OpeningFcn, ... 'gui_OutputFcn', @somgui_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []);if nargin && ischar(varargin{1}) gui_State.gui_Callback = str2func(varargin{1});end if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});else gui_mainfcn(gui_State, varargin{:});end% End initialization code - DO NOT EDIT % --- Executes just before somgui is made visible.function somgui_OpeningFcn(hObject, eventdata, handles, varargin)% This function has no output args, see OutputFcn.% hObject handle to figure% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)% varargin command line arguments to somgui (see VARARGIN) % Choose default command line output for somgui

handles.output = hObject; % Update handles structureguidata(hObject, handles); % UIWAIT makes somgui wait for user response (see UIRESUME)% uiwit(handles.SOMGUI);text(.28,.5,'SOM Map will display here'); % Creating userdata to store the data touserdata = [];set(hObject,'userdata',userdata); % --- Outputs from this function are returned to the command line.function varargout = somgui_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning output args (see VARARGOUT);% hObject handle to figure% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Get default command line output from handles structurevarargout{1} = handles.output; % --- Executes on button press in pb_exit.function pb_exit_Callback(hObject, eventdata, handles)% hObject handle to pb_exit (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) delete(gcbf); % --- Executes on selection change in pu_initialization.function pu_initialization_Callback(hObject, eventdata, handles)% hObject handle to pu_initialization (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns pu_initialization contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_initialization % --- Executes during object creation, after setting all properties.function pu_initialization_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_initialization (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called

% Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on selection change in pu_gridsize.function pu_gridsize_Callback(hObject, eventdata, handles)% hObject handle to pu_gridsize (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns pu_gridsize contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_gridsize if ( get(hObject,'value') > 3 ) set(handles.edit_gridsize,'visible','on'); set(handles.text_gridsize,'visible','on');else set(handles.edit_gridsize,'visible','off'); set(handles.text_gridsize,'visible','off');end % --- Executes during object creation, after setting all properties.function pu_gridsize_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_gridsize (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on selection change in pu_lattice.function pu_lattice_Callback(hObject, eventdata, handles)% hObject handle to pu_lattice (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns pu_lattice contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_lattice % --- Executes during object creation, after setting all properties.

function pu_lattice_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_lattice (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on selection change in pu_neighborhood.function pu_neighborhood_Callback(hObject, eventdata, handles)% hObject handle to pu_neighborhood (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns pu_neighborhood contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_neighborhood % --- Executes during object creation, after setting all properties.function pu_neighborhood_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_neighborhood (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on selection change in pu_training.function pu_training_Callback(hObject, eventdata, handles)% hObject handle to pu_training (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns pu_training contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_training if ( get(hObject,'value') > 3 ) set(handles.edit_training,'visible','on'); set(handles.text_training,'visible','on');else

set(handles.edit_training,'visible','off'); set(handles.text_training,'visible','off');end % --- Executes during object creation, after setting all properties.function pu_training_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_training (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on selection change in pu_algorithm.function pu_algorithm_Callback(hObject, eventdata, handles)% hObject handle to pu_algorithm (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns pu_algorithm contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_algorithm % --- Executes during object creation, after setting all properties.function pu_algorithm_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_algorithm (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end function edit_mapname_Callback(hObject, eventdata, handles)% hObject handle to edit_mapname (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit_mapname as text% str2double(get(hObject,'String')) returns contents of edit_mapname as a double

% --- Executes during object creation, after setting all properties.function edit_mapname_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_mapname (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on button press in pushbutton2.function pushbutton2_Callback(hObject, eventdata, handles)% hObject handle to pushbutton2 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Getting user datauserdata = get(handles.SOMGUI,'userdata'); % Setting the plot type to labelsset(handles.pu_plots,'value',1); paramStruct = somgui_getparameters(handles);if ( get(handles.pu_datasource,'value') == 1) % Run script (PERL or autoit) here and accumulate data else % Loading the file if ( ~isfield(userdata,'sData') ) filename = deblank(get(handles.edit_CSV,'string')); try % Reading data file cellData = textread(filename,'%s','delimiter',','); % Determining the number of elements (data should be square matrix) nPts = sqrt(length(cellData)); dataPts = floor(nPts); labels = cellData(1:dataPts); values = reshape(cellfun(@str2num,cellData(dataPts+1:end)), ... dataPts,dataPts); % Removing any underscores for i = 1:length(labels) labels{i} = strrep(labels{i},'_','-'); end

catch msgbox('Error reading file. Make sure filename and contents are correct', ... 'SOMGUI: File Read Error'); return end endend % Getting name of SOMsName = deblank(get(handles.edit_mapname,'string'));if ( isempty(sName) ) sName = 'Untitled';end if ( ~isfield(userdata,'sData') ) % Creating the SOM Data structure try sData = som_data_struct(values,'labels',labels, ... 'comp_names',labels,'name',sName); catch msgbox('Error creating the SOM Data structure with the extracted data', ... 'SOMGUI: Error Creating SOM Structure'); return endelse sData = userdata.sData; sData.name = sName;end % Creating the SOM, running the calculationstry % Determining the SOM run parameters if ( ischar(paramStruct.gridsize) ) sModel = som_make(sData,'mapsize',paramStruct.gridsize, ... 'shape',paramStruct.lattice,'algorithm',paramStruct.algorithm, ... 'init',paramStruct.init,'neigh',paramStruct.neighborhood, ... 'training',paramStruct.training); else if ( length(paramStruct.gridsize) == 1 ) sModel = som_make(sData,'munits',paramStruct.gridsize, ... 'shape',paramStruct.lattice,'algorithm',paramStruct.algorithm, ... 'init',paramStruct.init,'neigh',paramStruct.neighborhood, ... 'training',paramStruct.training); else sModel = som_make(sData,'msize',paramStruct.gridsize, ... 'shape',paramStruct.lattice,'algorithm',paramStruct.algorithm, ... 'init',paramStruct.init,'neigh',paramStruct.neighborhood, ... 'training',paramStruct.training); end end sModel = som_autolabel(sModel,sData,'add1');catch

msgbox('Error running the SOM creating main function', ... 'SOMGUI: Error Running SOM'); returnend % Resetting the axesfigure(gcbf);h = gca;set(h,'Tag','SOMAxes');cla(h); % Plotting the resultswitch deblank(paramStruct.plottype) case 'Lattice - Hits' somgui_show(sModel,'empty',sData.name,'norm','d'); som_show_add('hit',som_hits(sModel,sData)); case 'Lattice - Comet' somgui_show(sModel,'empty',sData.name,'norm','d'); som_show_add('comet',som_bmus(sModel,sData),'MarkerColor',[0 0 0]) case 'Lattice - Trajectory' somgui_show(sModel,'empty',sData.name,'norm','d'); som_show_add('traj',som_bmus(sModel,sData)); case 'Lattice - Labels' somgui_show(sModel,'empty',sData.name,'norm','d'); hh = som_show_add('label',sModel,'textsize',5,'subplot',1); for i = 1:length(hh) set(hh(i),'ButtonDownFcn','showcontents(gco)','tag',num2str(i)); end case 'U-Matrix (Select Component(s) Below)' token = findstr(paramStruct.plotfeature,'-'); if ( isempty(token) ) somgui_show(sModel,'umat','all','norm','d'); else value = str2num(deblank(paramStruct.plotfeature(1:token(1)-1))); somgui_show(sModel,'umat',value,'norm','d'); end case 'U-Matrix Interp (Select Component(s) Below)' token = findstr(paramStruct.plotfeature,'-'); if ( isempty(token) ) somgui_show(sModel,'umati','all','norm','d') else value = str2num(deblank(paramStruct.plotfeature(1:token(1)-1))); somgui_show(sModel,'umati',value,'norm','d') end case 'Component Matrix (Select Component Below)' token = findstr(paramStruct.plotfeature,'-'); if ( isempty(token) ) msgbox('You must select a component from menu','SOMGUI: Plot Error'); return else value = str2num(deblank(paramStruct.plotfeature(1:token(1)-1))); somgui_show(sModel,'comp',value,'norm','d'); end case 'Component Matrix Interp (Select Component Below)' token = findstr(paramStruct.plotfeature,'-'); if ( isempty(token) )

msgbox('You must select a component from menu','SOMGUI: Plot Error'); return else value = str2num(deblank(paramStruct.plotfeature(1:token(1)-1))); somgui_show(sModel,'compi',value,'norm','d'); endend % Saving to userdatauserdata.sModel = sModel;userdata.sData = sData;set(handles.SOMGUI,'userdata',userdata); % Enabling plot featuresdFeatures = cat(1,{'All Features'},sModel.comp_names);for i = 2:length(dFeatures) dFeatures{i} = [num2str(i-1) ' - ' dFeatures{i}];endtry set(handles.pu_plotfeature,'enable','on','String',dFeatures);catch set(handles.pu_plotfeature,'enable','on','String',dFeatures,'value',1);end function edit_gridsize_Callback(hObject, eventdata, handles)% hObject handle to edit_gridsize (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit_gridsize as text% str2double(get(hObject,'String')) returns contents of edit_gridsize as a double % --- Executes during object creation, after setting all properties.function edit_gridsize_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_gridsize (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end function edit_training_Callback(hObject, eventdata, handles)% hObject handle to edit_training (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit_training as text% str2double(get(hObject,'String')) returns contents of edit_training as a double % --- Executes during object creation, after setting all properties.function edit_training_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_training (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on selection change in pu_datasource.function pu_datasource_Callback(hObject, eventdata, handles)% hObject handle to pu_datasource (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns pu_datasource contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_datasource if ( get(hObject,'value') == 1 ) set(handles.pu_distancecalculation,'enable','on'); set(handles.text_datasource,'string','CSV Variable List','foregroundcolor',[1 0 0]); set(handles.pb_selectfile,'enable','off'); set(handles.pb_runscript,'enable','on'); set(handles.pb_loadfile,'enable','off');else set(handles.pu_distancecalculation,'enable','off'); set(handles.text_datasource,'string','CSV Full Filename','foregroundcolor',[0 0 1]); set(handles.pb_selectfile,'enable','on'); set(handles.pb_runscript,'enable','off'); set(handles.pb_loadfile,'enable','on');endset(handles.edit_CSV,'String',''); % --- Executes during object creation, after setting all properties.function pu_datasource_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_datasource (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB

% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on selection change in pu_distancecalculation.function pu_distancecalculation_Callback(hObject, eventdata, handles)% hObject handle to pu_distancecalculation (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = cellstr(get(hObject,'String')) returns pu_distancecalculation contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_distancecalculation % --- Executes during object creation, after setting all properties.function pu_distancecalculation_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_distancecalculation (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end function edit_CSV_Callback(hObject, eventdata, handles)% hObject handle to edit_CSV (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit_CSV as text% str2double(get(hObject,'String')) returns contents of edit_CSV as a double % --- Executes during object creation, after setting all properties.function edit_CSV_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_CSV (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on button press in pb_selectfile.function pb_selectfile_Callback(hObject, eventdata, handles)% hObject handle to pb_selectfile (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Launching a UI for selecting a file[strFileName,strFilePath] = uigetfile('*.*','Select File with CSV''s - Data must be a square matrix');if ( ischar(strFileName) ) strFullName = [strFilePath strFileName]; set(handles.edit_CSV,'String',strFullName);end % --- Executes on selection change in pu_plots.function pu_plots_Callback(hObject, eventdata, handles)% hObject handle to pu_plots (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = get(hObject,'String') returns pu_plots contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_plots % --- Executes during object creation, after setting all properties.function pu_plots_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_plots (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on button press in pb_runscript.function pb_runscript_Callback(hObject, eventdata, handles)% hObject handle to pb_runscript (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)

function edit_plots_Callback(hObject, eventdata, handles)% hObject handle to edit_plots (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit_plots as text% str2double(get(hObject,'String')) returns contents of edit_plots as a double % --- Executes during object creation, after setting all properties.function edit_plots_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_plots (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end function edit_color_Callback(hObject, eventdata, handles)% hObject handle to edit_color (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit_color as text% str2double(get(hObject,'String')) returns contents of edit_color as a double % --- Executes during object creation, after setting all properties.function edit_color_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_color (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on selection change in pu_plotfeature.function pu_plotfeature_Callback(hObject, eventdata, handles)% hObject handle to pu_plotfeature (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Hints: contents = get(hObject,'String') returns pu_plotfeature contents as cell array% contents{get(hObject,'Value')} returns selected item from pu_plotfeature % --- Executes during object creation, after setting all properties.function pu_plotfeature_CreateFcn(hObject, eventdata, handles)% hObject handle to pu_plotfeature (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called % Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end % --- Executes on button press in pb_replot.function pb_replot_Callback(hObject, eventdata, handles)% hObject handle to pb_replot (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % Getting userdatauserdata = get(handles.SOMGUI,'userdata');if ( isempty(userdata) || ~isfield(userdata,'sModel') ) msgbox('No data is present to plot','SOMGUI: No data error'); returnendsModel = userdata.sModel;sData = userdata.sData; paramStruct = somgui_getparameters(handles); % Getting name of SOMsName = deblank(get(handles.edit_mapname,'string'));if ( isempty(sName) ) sName = 'Untitled';end % Resetting the axesfigure(gcbf);h = gca;set(h,'Tag','SOMAxes');cla(h); % Plotting the result

switch deblank(paramStruct.plottype) case 'Lattice - Hits' somgui_show(sModel,'empty',sData.name,'norm','d'); som_show_add('hit',som_hits(sModel,sData)); case 'Lattice - Comet' somgui_show(sModel,'empty',sData.name,'norm','d'); som_show_add('comet',som_bmus(sModel,sData),'MarkerColor',[0 0 0]) case 'Lattice - Trajectory' somgui_show(sModel,'empty',sData.name,'norm','d'); som_show_add('traj',som_bmus(sModel,sData)); case 'Lattice - Labels' somgui_show(sModel,'empty',sData.name,'norm','d'); hh = som_show_add('label',sModel,'textsize',5,'subplot',1); for i = 1:length(hh) set(hh(i),'ButtonDownFcn','showcontents(gco)','tag',num2str(i)); end case 'U-Matrix (Select Component(s) Below)' token = findstr(paramStruct.plotfeature,'-'); if ( isempty(token) ) somgui_show(sModel,'umat','all','norm','d'); else value = str2num(deblank(paramStruct.plotfeature(1:token(1)-1))); somgui_show(sModel,'umat',value,'norm','d'); end case 'U-Matrix Interp (Select Component(s) Below)' token = findstr(paramStruct.plotfeature,'-'); if ( isempty(token) ) somgui_show(sModel,'umati','all','norm','d') else value = str2num(deblank(paramStruct.plotfeature(1:token(1)-1))); somgui_show(sModel,'umati',value,'norm','d') end case 'Component Matrix (Select Component Below)' token = findstr(paramStruct.plotfeature,'-'); if ( isempty(token) ) msgbox('You must select a component from menu','SOMGUI: Plot Error'); return else value = str2num(deblank(paramStruct.plotfeature(1:token(1)-1))); somgui_show(sModel,'comp',value,'norm','d'); end case 'Component Matrix Interp (Select Component Below)' token = findstr(paramStruct.plotfeature,'-'); if ( isempty(token) ) msgbox('You must select a component from menu','SOMGUI: Plot Error'); return else value = str2num(deblank(paramStruct.plotfeature(1:token(1)-1))); somgui_show(sModel,'compi',value,'norm','d'); endend % Saving to userdatauserdata.sModel = sModel;

userdata.sData = sData;set(handles.SOMGUI,'userdata',userdata); % --- Executes on button press in pb_loadfile.function pb_loadfile_Callback(hObject, eventdata, handles)% hObject handle to pb_loadfile (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) filename = deblank(get(handles.edit_CSV,'String'));if ( isempty(filename) ) msgbox('No file has been selected to load','SOMGUI: File Load Error'); returnend try % Reading data file cellData = textread(filename,'%s','delimiter',','); % Determining the number of elements (data should be square matrix) nPts = sqrt(length(cellData)); dataPts = floor(nPts); labels = cellData(1:dataPts); values = reshape(cellfun(@str2num,cellData(dataPts+1:end)), ... dataPts,dataPts); % Removing any underscores for i = 1:length(labels) labels{i} = strrep(labels{i},'_','-'); endcatch msgbox('Error reading file. Make sure filename and contents are correct', ... 'SOMGUI: File Read Error'); returnend % Getting name of SOMsName = deblank(get(handles.edit_mapname,'string'));if ( isempty(sName) ) sName = 'Untitled';end % Creating the SOM Data structuretry sData = som_data_struct(values,'labels',labels, ... 'comp_names',labels,'name',sName);catch msgbox('Error creating the SOM Data structure with the extracted data', ... 'SOMGUI: Error Creating SOM Structure'); returnend

% Enabling plot featuresdFeatures = cat(1,{'All Features'},sData.comp_names);for i = 2:length(dFeatures) dFeatures{i} = [num2str(i-1) ' - ' dFeatures{i}];endset(handles.pu_plotfeature,'enable','on','String',dFeatures,'value',1); userdata.sData = sData;set(handles.SOMGUI,'userdata',userdata); msgbox('Data was successfully loaded.','SOMGUI: Load Data'); % --- Executes on button press in pushbutton8.function pushbutton8_Callback(hObject, eventdata, handles)% hObject handle to pushbutton8 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) phandle = gca;h = figure;copyobj(phandle,h);aa = gca;set(aa,'Units','Normalized');set(aa,'Position',[0.13 0.11 0.775 0.815]); % Getting the other parameterspIndex = get(handles.pu_plots,'value');pSelect = get(handles.pu_plots,'string');fIndex = get(handles.pu_plotfeature,'value');fSelect = get(handles.pu_plotfeature,'string'); % Adding labels and colorbars if necessaryswitch deblank(pSelect{pIndex}); case 'Lattice - Labels' suptitle(deblank(get(handles.edit_mapname,'string'))); case 'Lattice - Hits' suptitle(['Hits ' deblank(get(handles.edit_mapname,'string'))]); case 'Lattice - Comet' suptitle(['Comet ' deblank(get(handles.edit_mapname,'string'))]); case 'Lattice - Trajectory' suptitle(['Trajectory ' deblank(get(handles.edit_mapname,'string'))]); case 'U-Matrix (Select Component(s) Below)' suptitle(['U-Matrix - ' deblank(fSelect{fIndex})]); colorbar; case 'U-Matrix Interp (Select Component(s) Below)' suptitle(['U-Matrix Interp - ' deblank(fSelect{fIndex})]); colorbar; case 'Component Matrix (Select Component Below)' suptitle(['Component Matrix - ' deblank(fSelect{fIndex})]); colorbar; case 'Component Matrix Interp (Select Component Below)'

suptitle(['Component Matrix Interp - ' deblank(fSelect{fIndex})]); colorbar;end

function paramStruct = somgui_getparameters(handles) % This function retrieves the options from all the drop down menus on the% GUI interface.%% Gray Ross % Initializationselection = get(handles.pu_initialization,'value');contents = get(handles.pu_initialization,'String');paramStruct.init = lower(contents{selection}); % Grid Sizeselection = get(handles.pu_gridsize,'value');if ( selection <= 3 ) selection = get(handles.pu_gridsize,'value'); contents = get(handles.pu_gridsize,'String'); paramStruct.gridsize = lower(contents{selection});else numVal = str2num(get(handles.edit_gridsize,'String')); if ( isempty(numVal) ) msgbox('A grid size value must be entered','Error in SOMGUI'); return end paramStruct.gridsize = numVal;end % Latticeselection = get(handles.pu_lattice,'value');switch selection case 1 paramStruct.lattice = 'sheet'; case 2 paramStruct.lattice = 'cyl'; case 3 paramStruct.lattice = 'toroid';end % Neighborhood fxselection = get(handles.pu_neighborhood,'value');contents = get(handles.pu_neighborhood,'String');paramStruct.neighborhood = lower(contents{selection}); % Algorithmselection = get(handles.pu_algorithm,'value');switch selection case 1 paramStruct.algorithm = 'batch'; case 2 paramStruct.algorithm = 'seq';

case 3 paramStruct.algorithm = 'sompak';end % Trainingselection = get(handles.pu_training,'value');if ( selection <= 3 ) selection = get(handles.pu_training,'value'); contents = get(handles.pu_training,'String'); paramStruct.training = lower(contents{selection});else numVal = str2num(get(handles.edit_training,'String')); if ( isempty(numVal) || length(numVal) ~= 2 ) msgbox('Training vector must contain 2 values.','Error in SOMGUI'); return end paramStruct.training = numVal;end % Getting map title nameparamStruct.mapname = deblank(get(handles.edit_mapname,'String')); % Plot Typeselection = get(handles.pu_plots,'value');contents = get(handles.pu_plots,'String');paramStruct.plottype = contents{selection}; % Plot Featuresselection = get(handles.pu_plotfeature,'value');contents = get(handles.pu_plotfeature,'String');try paramStruct.plotfeature = lower(contents{selection});catch paramStruct.plotfeature = lower(contents);end return

Appendix 2 – Key Words and Analyses

Exhibit 2.A – Key Word Input Used for the Analysis

integer_programminglinear_programming

relaxationalgorithm

Business_valueIT_investment

manufacturing_sectorprocess_oriented_modelsstrategic_business_unitscontribution_measurementconceptual_database_designdatabase_integrationdatabase_schema_integrationinformation_systems_designmodelsview_integrationDegrees-of-SeparationMIS_ResearchGraphRankingCollaborationspiral_modelsoftware_process_modelsoftware_development_lifecyclerisk_driven_modelproject_managementSystem_Analysis_and_Designspiral_modelsoftware_development_processesarchitecturesoftware_managementsoftware_designrisk_managementproductivityITeconomicsmanagementinformation_systems_spendingeconometric_modelsIS_productivityeconomicsInternetpricingcompetitionknowledge_managementkowledge_management_systemsorganization_knowledge_reviewsystemsresearch_issuesdecision_Support_Systemssystem_Analysis_and_Designsystematic_Viewdecision_Supportsystem_DesigndatabaseRational_ModelData_StructureIndexNonprocedural_languageresearch_productivitytenure_and_promotioninformation_systemsbundlingAggregation

PricingInformation_GoodsDigital_GoodsdesignTheoryComposite-objectobject-oriented_databaseschema_evolutionobject-oriented_databaseobject-oriented_data_modelprototypeschema_evolutionclass_hierarchyDecision_scienceDSSoverviewData_provenancedata_managementwhere-provenancewhy-provenancesyntacticcollaborationHCIinteractivitycommunicationdecision_makingTheoryData_managementsciencedata_retrievalinformation_systemSupply_ChainMulti-Echelon_Inventory_ManagementPeriodic_Review_PoliciesElectronic_Dataresearch_methodsparadigmsIS_researchresearch_unificationexperiment_designFuzzy_Expert_SystemsKnow1edge_EngineeringKnowledge_Based_SystemsDomoticsIntelligent_Buildingsquery_languagesrelational_database_systemsinformation_retrievaldata_manipulation_languagesrelational_modelsystem_testinformation_retrievalmachine_learningsimulated_annealingdatabase-designlogical-view-of_datasemantics-of_data

relational_modelentity-relationship-modelinvestment_in_ITflexiblecapacityeconomicscost_curvefirmeconomic_functiondatabasedata_managementdata_networksdata_integrityrelational_modelrelational_algebrarelational_calculusrelational_databaserelational_databasedata-modeldata-semanticssemantic-modelconceptual_modelTheory_of_the_FirmStrategyResource-basedTransaction_CostsGSScollaborationproblem_solvingevaluationdatamodellingprocesssystem_integrationstructured_designuncertaintyProgramming_LanguageParallel_ProcessingProcessSequence_ControlStateLinear_ProgramsDecompositionGeneralized_ProgrammingOperations_ResearchDecision_ProcessTheory_of_Planned_BehaviorTechnology_Acceptance_ModelSocial_Cognitive_TheoryUnified_ModelIntegrated_ModelEconomicsPerformanceManagement_PracticesProductivityFirmMultiprocessingMultiprogramming

Operating_systemsResource_allocationSchedulingmedia_theorymedia_richnesscollaborationcomputer-mediated_communicationconveyancemodule_interconnection_languagevisibilityaccessibilityscope_of_definitionOrganizational_developmentchange_managementsocio-technicaldevelopmentmanagementgroup_decision_support_systemsdecision_supportgroup_decision_supportgroup_problem_solvingquality_teamsquality_improvementadaptive_structuration_theoryspatial_databasedatabase_integrationGISObject_MappingEconomicsDemandIT_IndustryReturnCapital_InvestmentConnection_graphsDijkstraï's_algorithmshortest-pathtreeminimal_path_lengthgo_to_statementjump_instructionbranch_instructionprogram_intelligibilityprogram_sequencingstructured_programmingprogramming_methodsprogram_designprogrammer's_roleprogram_compositionGroupwarecollaborationcomputer-mediated_communicationdecision_supportdesignoffice_automationdistributed_systemsoffice_information_systems

office_modelingconceptual_data_modelentity-relationship_modeldata_semanticsquery_languageobject-oriented_programmingprogram_designmiddlewareaspect-oriented_programmingHuman_intellect_augmentationdata_storageknowledgeconceptual_frameworkHCIHuman_computer_interactiontext_manipulationdisplay_selectionSwitching_costscompetition_marketbarrier_to_entryeconomicsbusinessArtificial_IntelligenceKnowledge-based_taskDENDRALMETA-DENDRALexpert_systemsInconsistency_handlingmultiple_perspectivesviewsviewpointspecificationprocess_modelingclassical_firstorder_predicate_logictemporal_logicinteger_algorithmheuristicbranch_and_boundoptimizationinteger_programmingsoftware_reusefisheye_viewsinformation_retrievaldata_visualizationInternetinformation_navigationinformation_structuressearchingbrowsingVocabulary_ProblemSystem_CommunicationAliasesdata_precisionhuman-computer_interactionComputer-Mediated_CommunicationIntellectual_TeamworkExperiment

Independent_VariablesDependent_VariablescollaborationGSSgroup_sizesnergybrainstormingWorkflow_ManagementBusiness_Process_Re-engineeringWorkflow_SystemsCustomized_Transaction_ManagementProcess_Modeling_database_interoperabilityreceiver_heterogeneityscalabilityevolutionContext_Interchange_frameworkEconomics_of_ITIT_Strategyagency_theorytransaction_costimpact_of_information_systemsEconomics_of_infomrationqueue_systemqueuing_theorydecision_supportdata_cubesdatabasegreedy_algorithmlatticesEERMrelational_modelOO_modelview_integrationdatabasedecision_makingproblem_solvingsubjective_expected_utilityInformation_Systems_research_methodologiesdesign_sciencetechnology_infrastructuredesign_artifactexperimental_methodscreativitygroup_decision_support_systemstask_supportdecision_support_systemscollaboration_softwaresoaservice-oriented_computingConceptual-database-designentity-relationship_modelfunctional-data-modelschemasemantic-database-modelResearch_Productivity

Information_systemsrankingsMISresearch_qualityMIS_Assessmenttop_MIS_publisherstop_MIS_schoolstop_MIS_researchersMIS_rankingsantecedents_of_trustglobal_teamglobal_virtual_teamsswift_trusttransnational_teamstrustvirtual_organizationvirtual_teamsGroup_decision_support_systemscomputer-supported_meetingsill-structured_problem_solvingcollaborationInformation_integrationmediatorsontologysemantic_conflict_resolutionsemantic_heterogeneitysocial_evaluationsteleconferencingvideo_teleconferencingcomputer_teleconferencingaudio_teleconferencingface-to-face_conferencingautomatic_text_retrievaldocument_retrievalnatural_language_processingknowledge_retrievalinformation_trievalontologyknowledge_representationnaive_semanticstext_parsingnatural_language_processingobject-oriented_databasequery_languagexsqlobject-oriented_modelTrustElectronic_CommerceArgumentationCustomer_ServiceFrameworkRelational_databasenested_queryjoindivideaggregate-functionpredicateData_Modeling

Organizational_Information_System.FormalismEER_ModelNIAM_Model_information_systems_researchresearch_methodologysystems_developmenresearch_frameworkclassification_schemesNEGOTIATIONGROUP_DECISION_SUPPORTGDSSGENERATING_OPTIONSELECTRONIC_MEETING_SYSTEMSDecision_SupportGroup_Decision_MakingAnonymityComputer-mediated_communicationelectronic_meetings_Information_TechnologyOrganizationStructuration_TheoryWork-PracticesConstructsPhilosophical_assumptionsResearch_approachesPositivist_researchInterpretivist_researchCritical_researchModularizationSoftware_EngineeringSoftware_DesignProgram_DesignSelf-contain_DesignSpecificationModulesSoftware-EngineeringModule_SpecificationProgram_familiesStepwise_refinementModulizationSoftware_engineeringcomputer_scienceacademic_programseducationengineeringmachine_learninggrammar_computationsprobabilistic_associationcongruence_of_meaningdenotational_valueKnowledge_ManagementInformation_ForagingUser-Environment_AdaptationRational_AnalysisACT-IFDecision_Support_Systems

computer_based_decision_aidsdecision_making_strategydistributed_cognitioninterpretationrulestacitknowledgeorganizationallearningDelphigroup_decision_makinggroup_communicationfeedbackproblem_solvingGDSSgroupwareProblem_solvingEMSsocial_systemuser_acceptanceHCIunified_modelsocial_cognitive_theorydatabaseAIorganizationintegrationGDSSgroup_consensusSAMMsoftware-aided_meeting_managementcollaborationtext_mininglanguagetranslationinformation_retrievalstatistical_modelEconomicsInformation_valuecomputer-based_systemspractical_system_designlanguage/action_perspectiveSemanticsTaxonomypart-wholemeronymattributiontransitivityglobal_information_systemmultinational_corporationsstrategic_information_systemsinformation_technology_platformtransnational_strategysocial_transformation_of_information_technologycomputer_revolutionsocial_informatics

Productivity_ParadoxSocial_ContextDocumentary_SystemsSocio-technical_SystemsComputing_Infrastructurecomputer-mediated_communicationcommunication_mediamedia_richness_theorypsychobiological_modelschema_theorydistributed_systemssystem_configurationdynamic_configurationsystem_evolutionprogrammingdynamic_change_managementcomposition_rulesdistributed_computingchange_managementChange_managementdistributed_systemsevolutionary_changeconfiguration_managementchange_controlInternetsocial_impactpsychological_impactsocial_involvementPsychological_Well-BeingSystems_analysisGraph_theoryData_transportFile_structureattributesdatabase_designdatabase_integrationdata_equivalenceschema_integrationinformation_distortioninformation_integrationbullwhip_effectsupply_chain_managementbusiness_strategyaligning_ITCommunicationProject_MeetingIntellectual_ResourcesInformation_NetworkMessage_ProcessingComputermanrequirementsformulative_thinkingmemory_organizationecommerceframeworkintegration

distributed_database_designdata_partitioning_and_replicationdata-allocationoperation-allocationperformance_modeling_and_analysisgenetic_algorithmdata_managementrecord_designrecord_segmentationbuffer_allocationnetwork_flowsbicriterion_mathematical_programsbranch_and_boundknowledge_managementknowledge_conversionmedia_utilityknowledge_transferknowledge_sharingDatabase_managementdata_semanticsdata_definitiondatabase-modelinginformation-redundancyData_managementdistributed_database_managementdatabase_architectureconcurrency_controlparametizable_distributed_databaseHuman-Computer_InteractionInterfacesApplicationsSoftware_ToolsArchitecturesDomain_AnalysisDracoSoftware_DevelopmentSoftware_EngineeringSoftware_ModelingArtificial_IntelligenceProblem_SolvingDecision_MakingSymbolic_logiclogic_problemshuman-computer_interactionpsychologysymbolssearchartificial-intelligencecognitionheuristicsproblem_solvingSystem_analysis_&_DesignHeuristic_evaluationInterface_evaluationUsability_problems

Usability_expertiseDiscount_usability_engineeringTelephone-operated_interfacesSelf-Designing_OrganizationTeamsKnowledge_ConversionOrganizational_InnovationManagement_ModelsGSSVirtual_workspaceCollaborationGroupwareGSSgroup_interactiongroup_productivityGSS_designgroup_decision_makingHeterogeneous_Distributed_Database_SystemsDatabase_Management_SystemsSchemaDatabase_IntegrationData_QueryIntelligent_database_designConceptual_modelingUser_interfaceGraphical_database_designSchema_integrationDendralArtificial_IntelligenceExpert_Systemheuristic_programmingmass_spectrometryman-machine_communicationPROMISZOGcommunication_philosophyinterface_designknowledge_representationMachine_Learningknowledge_acquisitionStructure_analysisrequirement_analysissystem_design_system_analysis_and_designprogram_designsoftware_developmentInformation_retrievalinformation_organization_researchdecision_theoretic_modelpattern_matchingtext_matchingCopyrightfair_use_doctrineintellectual_property_rightsdigital_datainfringementIntellectual_Property

Forum_of_InformationTrusted_Informationsocial_informaticsorganizational_informaticssociotechnical_systemsintellectual_geographyinformation_sciencesMachine_learningtext_categorizationtext_classificationIndexing_methodsInformation_filteringPerformance_evaluationEfficient_reasoning_methodsHorn_clausesknowledge-base_optimizationknowledge_compilationquery_evaluationtheory_approximation_integrationdistributed_systemsmetadataclient/serverInternetCritical_success_factorsMIS_planningplanning_methodologiesMIS_strategic_planningInformation_economicsversionvaluepricesemantic_websemantic_search_engineSCOREsemantic_metadatasemantic_ontologiesworkflow_managementdatabase_managementbusiness_process_automationoperations_managementMETEOR_project_

Direct_manipulationhuman-computer_interactionuser_interfacesemantic_representationsinteractive_systemsAbstractionData_integrationIntegrationRelational_databaseDatabase_designdatabase_management_systemsdata_structuresschema_integrationview_integrationDistributed_data._schema_integrationconceptual_modeldatabase_designDecision_Support_Systemsdevelopment_approachperformance_objectivescapabilitiescomputeremailsocial_contextorganizational_communicationinformation_exchangesystem_implementationperception_matchingimplementation_managementoperation_managementmanagerial_perceptionsTools_for_collaborationcomputer_supportefficient_programsprogram_designcouplingfaster_programmingcode_reusabilitydatabasePOSTGRESvacuum_cleaner

relational_databasenonprocedural_languagequery-languageconcurrencydbmslogic_designcommon_sense_reasoningdomain_knowledgelogic_transferexpert_systemOntologiesConceptual_modelingOntology_creation_heuristicsE–R_model_validationDatabase_designCompetencescapabilitiesinnovationstrategypath_dependencyknowledge_assetsSimulation_languageSimulationProgramming_languagedisk_schedulingaccess_timedisk_performance_criteriadisk_waiting_timedisk_scheduling_policiesEntity-relationship_modelintegritylogical_designrelational_databasesprograming_techniquesstepwise_program_constructioneducation_programingprogram_modularityelectronic_commerceelectronic_hierarchieselectronic_marketsinformation_infrastructureinternet

Exhibit 2.B - Seminal Article Keyword WordNet::Similarity Calculations

linear_programming,relaxation,algorithm,Graph,Ranking,Collaboration,architecture,productivity,IT,economics,management,Internet,pricing,competition,database,Data_Structure,Index,bundli

ng,Aggregation,design,Theory,object-

oriented_database,prototype,overview,communication,decision_making,science,information_system,capacity,firm,relational_database,Strategy,problem_solving,evaluation,data,modelling,pr

ocess,uncertainty,Programming_Language,Parallel_Processing,State,Decomposition,Operations_Research,Performance,Multiprocessing,Multiprogramming,Scheduling,conveyance,visibility,ac

cessibility,development,Demand,Return,tree,Groupware,query_language,knowledge,business,Artificial_Intelligence,heuristic,optimization,browsing,Experiment,brainstorming,scalability,evolu

tion,creativity,schema,trust,ontology,teleconferencing,natural_language_processing,Argumentation,Framework,join,divide,predicate,NEGOTIATION,Anonymity,Information_Technology,Organ

ization,Specification,computer_science,education,engineering,interpretation,learning,Delphi,feedback,social_system,AI,integration,language,translation,Semantics,Taxonomy,meronym,attribu

tion,transitivity,programming,Systems_analysis,Computer,man,Database_management,Draco,Symbolic_logic,psychology,search,cognition,User_interface,Copyright,infringement,Intellectual_

Property,metadata,version,value,price,SCORE,Abstraction,email,coupling,vacuum_cleaner,concurrency,dbms,innovation,Simulation,access_time,integrity

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09090909

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111,0.0833333333333333,0.0909090909090909,0.142857142857143,0.142857142857143

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090909,0.2,0.111111111111111,0.1,0.0666666666666667,0.0909090909090909,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.0769230769230769,0.16666666666666

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2857143,0.0769230769230769,0.0833333333333333,0.125,0.0833333333333333,0.0909090909090909,0.0909090909090909,0.111111111111111,0.0833333333333333,0.08333333333333

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25,0.111111111111111,0.1,0.0769230769230769,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.0909090909090909,0.1,0.0909090909090909,0.0769230769230769,0.

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3333,0.1,0.125,0.0666666666666667,0.0555555555555556,0.142857142857143,0.0769230769230769,0.0714285714285714,0.0909090909090909,0.111111111111111,0.111111111111111

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1111111111111,0.0714285714285714,0.0909090909090909,0.0769230769230769,0.1,0.0833333333333333,0.142857142857143,0.125,0.0833333333333333,0.1,0.111111111111111,0.083

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69230769230769,0.1,0.166666666666667,0.0909090909090909,0.0833333333333333,0.142857142857143,0.125,0.0909090909090909,0.111111111111111,0.2,0.1,0.0909090909090909,0.

125,0.111111111111111,0.1,0.0769230769230769,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.0909090909090909,0.1,0.0909090909090909,0.0769230769230769,0

.0909090909090909,0.0833333333333333,0.0909090909090909,0.111111111111111,0.0909090909090909,0.0909090909090909,0.2,0.142857142857143,0.111111111111111,0.111111111

111111,0.0588235294117647,0.0833333333333333,0.111111111111111,0.0769230769230769,0.2,0.125,0.0833333333333333,0.0833333333333333,0.0833333333333333,0.090909090909

0909,0.1,0.111111111111111,0.142857142857143,0.0833333333333333,0.0625,0.0769230769230769,0.142857142857143,0.0714285714285714,0.0833333333333333,0.090909090909090

9,0.2,0.166666666666667,0.0714285714285714,0.0909090909090909,0.166666666666667,0.1,0.1,0.0833333333333333,0.0833333333333333,0.0714285714285714,0.0833333333333333,0

.1,0.142857142857143,0.0666666666666667,0.0555555555555556,0.166666666666667,0.0769230769230769,0.0714285714285714,0.0909090909090909,0.111111111111111,0.111111111

111111

0.0769230769230769,0.1,0.0909090909090909,0.142857142857143,0.111111111111111,0.111111111111111,0.0769230769230769,0.125,0.0909090909090909,0.0833333333333333,0.111

111111111111,0.0666666666666667,0.0833333333333333,0.142857142857143,0.125,0.111111111111111,0.0909090909090909,0.0833333333333333,0.5,0.0909090909090909,0.0909090

909090909,0.1,0.1,0.111111111111111,0.125,0.111111111111111,0.1,0.0769230769230769,0.111111111111111,0.125,0.1,0.0909090909090909,0.0769230769230769,0.111111111111111,

1,0.0833333333333333,0.111111111111111,0.142857142857143,0.125,0.0909090909090909,0.125,0.0666666666666667,0.0833333333333333,0.111111111111111,0.0909090909090909,0

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43,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.0909090909090909,0.0769230769230769,0.125,0.125,0.111111111111111,0.125,0.111111111111111,0.125,0.07692

30769230769,0.1,0.0833333333333333,0.111111111111111,0.0909090909090909,0.125,0.111111111111111,0.0909090909090909,0.111111111111111,0.1,0.0909090909090909,0.2,0.111

111111111111,0.0909090909090909,0.111111111111111,0.0909090909090909,0.111111111111111,0.111111111111111,0.0666666666666667,0.1,0.2,0.111111111111111,0.125,0.166666

666666667,0.1,0.0833333333333333,0.125,0.111111111111111,0.1,0.142857142857143,0.0909090909090909,0.0833333333333333,0.0714285714285714,0.0909090909090909,0.1,0.0833

333333333333,0.0833333333333333,0.0909090909090909,0.111111111111111,0.166666666666667,0.0833333333333333,0.111111111111111,0.1,0.125,0.5,0.1,0.0833333333333333,0.08

33333333333333,0.0833333333333333,0.1,0.0909090909090909,0.0769230769230769,0.0625,0.1,0.0909090909090909,0.0833333333333333,0.0909090909090909,0.142857142857143,0.

142857142857143

0.111111111111111,0.0666666666666667,0.125,0.0833333333333333,0.0714285714285714,0.111111111111111,0.0555555555555556,0.0769230769230769,0.142857142857143,0.125,0.1

11111111111111,0.05,0.0714285714285714,0.0833333333333333,0.0769230769230769,0.0909090909090909,0.0625,0.0909090909090909,0.0909090909090909,0.166666666666667,0.07

69230769230769,0.0666666666666667,0.1,0.0714285714285714,0.142857142857143,0.0909090909090909,0.166666666666667,0.0555555555555556,0.0714285714285714,0.0666666666

666667,0.0666666666666667,0.0909090909090909,0.111111111111111,0.125,0.0833333333333333,1,0.166666666666667,0.0833333333333333,0.0769230769230769,0.0625,0.066666666

6666667,0.0909090909090909,0.111111111111111,0.1,0.0625,0.0666666666666667,0.125,0.0666666666666667,0.0714285714285714,0.0714285714285714,0.0909090909090909,0.06666

66666666667,0.0666666666666667,0.0526315789473684,0.0625,0.0769230769230769,0.125,0.0714285714285714,0.125,0.125,0.0909090909090909,0.0769230769230769,0.1,0.125,0.076

9230769230769,0.0714285714285714,0.1,0.111111111111111,0.0769230769230769,0.142857142857143,0.0666666666666667,0.125,0.0714285714285714,0.0909090909090909,0.076923

0769230769,0.0714285714285714,0.0625,0.0714285714285714,0.0666666666666667,0.142857142857143,0.0833333333333333,0.0714285714285714,0.142857142857143,0.16666666666

6667,0.125,0.111111111111111,0.0909090909090909,0.05,0.0666666666666667,0.0833333333333333,0.0625,0.125,0.0909090909090909,0.0666666666666667,0.125,0.066666666666666

7,0.0714285714285714,0.0833333333333333,0.0833333333333333,0.125,0.0714285714285714,0.0526315789473684,0.0625,0.1,0.0588235294117647,0.0714285714285714,0.1428571428

57143,0.166666666666667,0.125,0.0588235294117647,0.0769230769230769,0.142857142857143,0.0769230769230769,0.0769230769230769,0.0666666666666667,0.0833333333333333,0

.0588235294117647,0.0714285714285714,0.1,0.1,0.0555555555555556,0.0476190476190476,0.111111111111111,0.0625,0.0588235294117647,0.0833333333333333,0.0833333333333333

,0.0833333333333333

0.0769230769230769,0.0833333333333333,0.333333333333333,0.111111111111111,0.0909090909090909,0.166666666666667,0.0666666666666667,0.1,0.0909090909090909,0.08333333

33333333,0.166666666666667,0.0588235294117647,0.0833333333333333,0.111111111111111,0.1,0.111111111111111,0.0769230769230769,0.125,0.125,0.2,0.0909090909090909,0.0833

333333333333,0.1,0.0909090909090909,0.25,0.111111111111111,0.1,0.0666666666666667,0.0909090909090909,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.0769

230769230769,0.2,0.111111111111111,0.166666666666667,1,0.111111111111111,0.1,0.0769230769230769,0.0833333333333333,0.0666666666666667,0.166666666666667,0.1428571428

57143,0.0769230769230769,0.0833333333333333,0.2,0.0833333333333333,0.0909090909090909,0.0909090909090909,0.125,0.0833333333333333,0.0833333333333333,0.0625,0.076923

0769230769,0.1,0.166666666666667,0.0909090909090909,0.0833333333333333,0.333333333333333,0.125,0.0909090909090909,0.142857142857143,0.2,0.1,0.0909090909090909,0.125,0

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090909090909,0.0833333333333333,0.0909090909090909,0.111111111111111,0.0909090909090909,0.0909090909090909,0.333333333333333,0.2,0.111111111111111,0.1111111111111

11,0.0588235294117647,0.0833333333333333,0.111111111111111,0.0769230769230769,0.2,0.125,0.0833333333333333,0.0833333333333333,0.0833333333333333,0.0909090909090909,

0.1,0.111111111111111,0.2,0.0833333333333333,0.0625,0.0769230769230769,0.142857142857143,0.0714285714285714,0.0833333333333333,0.0909090909090909,0.333333333333333,

0.166666666666667,0.0714285714285714,0.0909090909090909,0.25,0.1,0.1,0.0833333333333333,0.0833333333333333,0.0714285714285714,0.0833333333333333,0.1,0.14285714285714

3,0.0666666666666667,0.0555555555555556,0.166666666666667,0.0769230769230769,0.0714285714285714,0.0909090909090909,0.111111111111111,0.111111111111111

0.0769230769230769,0.1,0.0909090909090909,0.142857142857143,0.142857142857143,0.111111111111111,0.0769230769230769,0.25,0.0909090909090909,0.0833333333333333,0.1111

11111111111,0.0666666666666667,0.0833333333333333,0.142857142857143,0.125,0.111111111111111,0.0909090909090909,0.0833333333333333,0.166666666666667,0.090909090909

0909,0.0909090909090909,0.1,0.1,0.111111111111111,0.125,0.111111111111111,0.1,0.0769230769230769,0.2,0.1,0.1,0.0909090909090909,0.0769230769230769,0.111111111111111,0.1

42857142857143,0.0833333333333333,0.111111111111111,1,0.125,0.0909090909090909,0.1,0.0666666666666667,0.0833333333333333,0.111111111111111,0.0909090909090909,0.1,0.0

909090909090909,0.1,0.142857142857143,0.2,0.0833333333333333,0.1,0.1,0.0714285714285714,0.0909090909090909,0.125,0.166666666666667,0.111111111111111,0.08333333333333

33,0.0909090909090909,0.0833333333333333,0.0909090909090909,0.0769230769230769,0.125,0.25,0.111111111111111,0.125,0.111111111111111,0.125,0.0769230769230769,0.1,0.083

3333333333333,0.111111111111111,0.0909090909090909,0.166666666666667,0.142857142857143,0.0909090909090909,0.111111111111111,0.125,0.0909090909090909,0.14285714285

7143,0.111111111111111,0.0909090909090909,0.111111111111111,0.0909090909090909,0.111111111111111,0.111111111111111,0.0666666666666667,0.1,0.142857142857143,0.09090

90909090909,0.125,0.166666666666667,0.1,0.0833333333333333,0.1,0.111111111111111,0.1,0.142857142857143,0.0909090909090909,0.0833333333333333,0.0714285714285714,0.090

9090909090909,0.1,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.111111111111111,0.166666666666667,0.0833333333333333,0.111111111111111,0.1,0.125,0.125,0

.1,0.0833333333333333,0.0833333333333333,0.0833333333333333,0.1,0.0909090909090909,0.0769230769230769,0.0625,0.1,0.0909090909090909,0.0833333333333333,0.090909090909

0909,0.142857142857143,0.2

0.0714285714285714,0.0909090909090909,0.0833333333333333,0.166666666666667,0.1,0.1,0.0714285714285714,0.111111111111111,0.0833333333333333,0.0769230769230769,0.1,0.0

625,0.0769230769230769,0.125,0.142857142857143,0.1,0.1,0.0769230769230769,0.142857142857143,0.0833333333333333,0.0833333333333333,0.111111111111111,0.09090909090909

09,0.125,0.111111111111111,0.1,0.0909090909090909,0.0714285714285714,0.1,0.0909090909090909,0.111111111111111,0.0833333333333333,0.0714285714285714,0.1,0.125,0.076923

0769230769,0.1,0.125,1,0.0833333333333333,0.0909090909090909,0.0625,0.0769230769230769,0.1,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.111111111111111

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0769,0.0833333333333333,0.0714285714285714,0.111111111111111,0.111111111111111,0.1,0.111111111111111,0.1,0.111111111111111,0.0714285714285714,0.111111111111111,0.07

69230769230769,0.125,0.0833333333333333,0.111111111111111,0.1,0.125,0.125,0.0909090909090909,0.0833333333333333,0.125,0.125,0.0833333333333333,0.1,0.0833333333333333,0

.1,0.1,0.0625,0.0909090909090909,0.125,0.0833333333333333,0.111111111111111,0.333333333333333,0.111111111111111,0.0769230769230769,0.0909090909090909,0.1,0.0909090909

090909,0.125,0.0833333333333333,0.0769230769230769,0.0666666666666667,0.0833333333333333,0.0909090909090909,0.0769230769230769,0.0769230769230769,0.08333333333333

33,0.1,0.142857142857143,0.0909090909090909,0.125,0.0909090909090909,0.111111111111111,0.111111111111111,0.111111111111111,0.0769230769230769,0.0769230769230769,0.0

769230769230769,0.0909090909090909,0.0833333333333333,0.0714285714285714,0.0588235294117647,0.0909090909090909,0.1,0.0769230769230769,0.0833333333333333,0.125,0.12

5

0.0588235294117647,0.166666666666667,0.0666666666666667,0.0909090909090909,0.0769230769230769,0.0769230769230769,0.0909090909090909,0.0833333333333333,0.066666666

6666667,0.0625,0.0769230769230769,0.0769230769230769,0.0625,0.0909090909090909,0.0833333333333333,0.0769230769230769,0.0666666666666667,0.0625,0.1,0.066666666666666

7,0.0666666666666667,0.0714285714285714,0.0714285714285714,0.0769230769230769,0.0833333333333333,0.0769230769230769,0.0714285714285714,0.0909090909090909,0.076923

0769230769,0.0714285714285714,0.0714285714285714,0.0666666666666667,0.0588235294117647,0.0769230769230769,0.0909090909090909,0.0625,0.0769230769230769,0.090909090

9090909,0.0833333333333333,1,0.0714285714285714,0.0526315789473684,0.0625,0.0769230769230769,1,0.166666666666667,0.0666666666666667,0.0714285714285714,0.0769230769

230769,0.0769230769230769,0.0625,0.166666666666667,0.0714285714285714,0.0833333333333333,0.0666666666666667,0.0833333333333333,0.1,0.0769230769230769,0.0625,0.06666

66666666667,0.0625,0.0666666666666667,0.0588235294117647,0.0833333333333333,0.0833333333333333,0.2,0.0833333333333333,0.0769230769230769,0.0833333333333333,0.05882

35294117647,0.0714285714285714,0.0625,0.0769230769230769,0.0666666666666667,0.0833333333333333,0.0769230769230769,0.0666666666666667,0.0769230769230769,0.07142857

14285714,0.0666666666666667,0.0909090909090909,0.0769230769230769,0.0666666666666667,0.0769230769230769,0.0666666666666667,0.0769230769230769,0.0769230769230769,0

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714285714285714,0.0909090909090909,0.0666666666666667,0.0625,0.0833333333333333,0.111111111111111,0.0714285714285714,0.1,0.0625,0.0666666666666667,0.07692307692307

69,0.1,0.0625,0.0769230769230769,0.0714285714285714,0.0833333333333333,0.0833333333333333,0.0714285714285714,0.0625,0.0625,0.0625,0.0714285714285714,0.06666666666666

67,0.0909090909090909,0.0714285714285714,0.0714285714285714,0.0666666666666667,0.1,0.0666666666666667,0.0909090909090909,0.0909090909090909

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33333,0.0555555555555556,0.0666666666666667,0.1,0.0909090909090909,0.0833333333333333,0.0714285714285714,0.0666666666666667,0.142857142857143,0.0714285714285714,0.

0714285714285714,0.0769230769230769,0.0769230769230769,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.0769230769230769,0.0625,0.0833333333333333,0.142

857142857143,0.0769230769230769,0.0714285714285714,0.0625,0.0833333333333333,0.125,0.0666666666666667,0.0833333333333333,0.1,0.0909090909090909,0.0714285714285714,1

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5714285714,0.0833333333333333,0.0769230769230769,0.0714285714285714,0.25,0.0833333333333333,0.0714285714285714,0.0833333333333333,0.0714285714285714,0.08333333333

33333,0.0833333333333333,0.0555555555555556,0.0769230769230769,0.125,0.125,0.0909090909090909,0.111111111111111,0.0769230769230769,0.0666666666666667,0.09090909090

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11111,0.0769230769230769,0.0666666666666667,0.0666666666666667,0.0666666666666667,0.0769230769230769,0.0714285714285714,0.0625,0.0526315789473684,0.07692307692307

69,0.0714285714285714,0.0666666666666667,0.0714285714285714,0.1,0.1

0.142857142857143,0.0555555555555556,0.0588235294117647,0.0666666666666667,0.0588235294117647,0.0666666666666667,0.0476190476190476,0.0625,0.111111111111111,0.125,

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1111111111,0.0909090909090909,0.0769230769230769,0.0909090909090909,0.0769230769230769,0.0909090909090909,0.0909090909090909,0.0588235294117647,0.083333333333333

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143

0.0666666666666667,0.0833333333333333,0.0769230769230769,0.111111111111111,0.111111111111111,0.0909090909090909,0.0666666666666667,0.166666666666667,0.07692307692

30769,0.0714285714285714,0.0909090909090909,0.0588235294117647,0.0714285714285714,0.111111111111111,0.1,0.0909090909090909,0.0769230769230769,0.0714285714285714,0.

125,0.0769230769230769,0.0769230769230769,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.1,0.0909090909090909,0.0833333333333333,0.0666666666666667,0.1

42857142857143,0.0833333333333333,0.0833333333333333,0.0769230769230769,0.0666666666666667,0.0909090909090909,0.111111111111111,0.0714285714285714,0.090909090909

0909,0.2,0.1,0.0769230769230769,0.0833333333333333,0.0588235294117647,0.0714285714285714,0.0909090909090909,0.0769230769230769,0.0833333333333333,0.076923076923076

9,0.0833333333333333,0.111111111111111,1,0.0714285714285714,0.0833333333333333,0.0833333333333333,0.0625,0.0769230769230769,0.1,0.125,0.0909090909090909,0.0714285714

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66667,0.0833333333333333,0.0714285714285714,0.0909090909090909,0.0769230769230769,0.125,0.111111111111111,0.0769230769230769,0.0909090909090909,0.1,0.0769230769230

769,0.111111111111111,0.0909090909090909,0.0769230769230769,0.0909090909090909,0.0769230769230769,0.0909090909090909,0.0909090909090909,0.0588235294117647,0.08333

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11111111,0.0769230769230769,0.0714285714285714,0.0625,0.0769230769230769,0.0833333333333333,0.0714285714285714,0.0714285714285714,0.0769230769230769,0.09090909090

90909,0.125,0.0714285714285714,0.0909090909090909,0.0833333333333333,0.1,0.1,0.0833333333333333,0.0714285714285714,0.0714285714285714,0.0714285714285714,0.083333333

3333333,0.0769230769230769,0.0666666666666667,0.0555555555555556,0.0833333333333333,0.0769230769230769,0.0714285714285714,0.0769230769230769,0.111111111111111,0.1

42857142857143

0.0625,0.0666666666666667,0.1,0.0833333333333333,0.0714285714285714,0.111111111111111,0.0555555555555556,0.0769230769230769,0.0714285714285714,0.0666666666666667,0.

111111111111111,0.05,0.0666666666666667,0.0833333333333333,0.0769230769230769,0.0833333333333333,0.0625,0.0909090909090909,0.0909090909090909,0.1,0.071428571428571

4,0.0666666666666667,0.0769230769230769,0.0714285714285714,0.142857142857143,0.0833333333333333,0.0769230769230769,0.0555555555555556,0.0714285714285714,0.0666666

666666667,0.0666666666666667,0.0714285714285714,0.0625,0.125,0.0833333333333333,0.0909090909090909,0.125,0.0833333333333333,0.0769230769230769,0.0625,0.066666666666

6667,0.0555555555555556,0.0909090909090909,0.1,0.0625,0.0666666666666667,0.1,0.0666666666666667,0.0714285714285714,0.0714285714285714,1,0.0666666666666667,0.06666666

66666667,0.0526315789473684,0.0625,0.0769230769230769,0.111111111111111,0.0714285714285714,0.0666666666666667,0.1,0.333333333333333,0.0714285714285714,0.0833333333

333333,0.125,0.0769230769230769,0.0714285714285714,0.0909090909090909,0.0833333333333333,0.0769230769230769,0.0625,0.0666666666666667,0.0666666666666667,0.07142857

14285714,0.0714285714285714,0.0769230769230769,0.0714285714285714,0.0625,0.0714285714285714,0.0666666666666667,0.0714285714285714,0.0833333333333333,0.07142857142

85714,0.0714285714285714,0.125,0.1,0.0833333333333333,0.0833333333333333,0.05,0.0666666666666667,0.0833333333333333,0.0625,0.125,0.0909090909090909,0.066666666666666

7,0.0666666666666667,0.0666666666666667,0.0714285714285714,0.0769230769230769,0.0833333333333333,0.1,0.0666666666666667,0.0526315789473684,0.0625,0.1,0.058823529411

7647,0.0666666666666667,0.0714285714285714,0.125,0.111111111111111,0.0588235294117647,0.0714285714285714,0.111111111111111,0.0769230769230769,0.0769230769230769,0.

0666666666666667,0.0666666666666667,0.0588235294117647,0.0666666666666667,0.0769230769230769,0.1,0.0555555555555556,0.0476190476190476,0.111111111111111,0.0625,0.0

588235294117647,0.0714285714285714,0.0833333333333333,0.0833333333333333

0.0625,0.2,0.0714285714285714,0.1,0.0833333333333333,0.0833333333333333,0.1,0.0909090909090909,0.0714285714285714,0.0666666666666667,0.0833333333333333,0.08333333333

33333,0.0666666666666667,0.1,0.0909090909090909,0.0833333333333333,0.0714285714285714,0.0666666666666667,0.111111111111111,0.0714285714285714,0.0714285714285714,0.

0769230769230769,0.0769230769230769,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.0769230769230769,0.1,0.0833333333333333,0.0769230769230769,0.076923

0769230769,0.0714285714285714,0.0625,0.0833333333333333,0.1,0.0666666666666667,0.0833333333333333,0.1,0.0909090909090909,0.166666666666667,0.0769230769230769,0.0555

555555555556,0.0666666666666667,0.0833333333333333,0.166666666666667,0.2,0.0714285714285714,0.0769230769230769,0.0833333333333333,0.0833333333333333,0.06666666666

66667,1,0.0769230769230769,0.0909090909090909,0.0714285714285714,0.0909090909090909,0.111111111111111,0.0833333333333333,0.0666666666666667,0.0714285714285714,0.06

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769,0.0666666666666667,0.0833333333333333,0.0714285714285714,0.0909090909090909,0.0833333333333333,0.0714285714285714,0.0833333333333333,0.0769230769230769,0.0714

285714285714,0.1,0.0833333333333333,0.0714285714285714,0.0833333333333333,0.0714285714285714,0.0833333333333333,0.0833333333333333,0.0833333333333333,0.2,0.1,0.0714

285714285714,0.0909090909090909,0.111111111111111,0.0769230769230769,0.0666666666666667,0.0769230769230769,0.0833333333333333,0.0769230769230769,0.1,0.07142857142

85714,0.0666666666666667,0.0909090909090909,0.125,0.0769230769230769,0.111111111111111,0.0666666666666667,0.0714285714285714,0.0833333333333333,0.111111111111111,0

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0.0625,0.0769230769230769,0.0714285714285714,0.125,0.0833333333333333,0.0833333333333333,0.0625,0.0909090909090909,0.0714285714285714,0.0666666666666667,0.083333333

3333333,0.0555555555555556,0.0666666666666667,0.1,0.111111111111111,0.0833333333333333,0.0833333333333333,0.0666666666666667,0.111111111111111,0.0714285714285714,0

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0909090909090909,0.0714285714285714,0.0625,0.0833333333333333,0.1,0.0666666666666667,0.0833333333333333,0.1,0.111111111111111,0.0714285714285714,0.0769230769230769,

0.0555555555555556,0.0666666666666667,0.0833333333333333,0.0714285714285714,0.0769230769230769,0.0714285714285714,0.333333333333333,0.0833333333333333,0.083333333

3333333,0.0666666666666667,0.0769230769230769,1,0.0588235294117647,0.1,0.111111111111111,0.111111111111111,0.0833333333333333,0.0666666666666667,0.0714285714285714

,0.0666666666666667,0.0714285714285714,0.0625,0.0909090909090909,0.0909090909090909,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.0909090909090909,0.0

625,0.0909090909090909,0.0666666666666667,0.1,0.0714285714285714,0.0909090909090909,0.0833333333333333,0.0833333333333333,0.1,0.0769230769230769,0.0714285714285714,

0.1,0.1,0.0714285714285714,0.0833333333333333,0.0714285714285714,0.0833333333333333,0.0833333333333333,0.0555555555555556,0.0769230769230769,0.1,0.0714285714285714,

0.0909090909090909,0.142857142857143,0.0909090909090909,0.0666666666666667,0.0769230769230769,0.0833333333333333,0.0769230769230769,0.1,0.0714285714285714,0.066666

6666666667,0.0588235294117647,0.0714285714285714,0.0769230769230769,0.0666666666666667,0.0666666666666667,0.0714285714285714,0.0833333333333333,0.111111111111111,

0.0909090909090909,0.25,0.0769230769230769,0.0909090909090909,0.0909090909090909,0.0909090909090909,0.0666666666666667,0.0666666666666667,0.0666666666666667,0.0769

230769230769,0.0714285714285714,0.0625,0.0526315789473684,0.0769230769230769,0.1,0.0666666666666667,0.0714285714285714,0.1,0.1

0.05,0.0909090909090909,0.0555555555555556,0.0714285714285714,0.0625,0.0625,0.0833333333333333,0.0666666666666667,0.0555555555555556,0.0526315789473684,0.0625,0.0714

285714285714,0.0526315789473684,0.0714285714285714,0.0666666666666667,0.0625,0.0555555555555556,0.0526315789473684,0.0769230769230769,0.0555555555555556,0.0555555

555555556,0.0588235294117647,0.0588235294117647,0.0625,0.0666666666666667,0.0625,0.0588235294117647,0.0833333333333333,0.0625,0.0588235294117647,0.0588235294117647,

0.0555555555555556,0.05,0.0625,0.0714285714285714,0.0526315789473684,0.0625,0.0714285714285714,0.0666666666666667,0.0833333333333333,0.0588235294117647,0.0454545454

545455,0.0526315789473684,0.0625,0.0833333333333333,0.0909090909090909,0.0555555555555556,0.0588235294117647,0.0625,0.0625,0.0526315789473684,0.0909090909090909,0.0

588235294117647,1,0.0555555555555556,0.0666666666666667,0.0769230769230769,0.0625,0.0526315789473684,0.0555555555555556,0.0526315789473684,0.0555555555555556,0.05,

0.0666666666666667,0.0666666666666667,0.1,0.0666666666666667,0.0625,0.0666666666666667,0.05,0.0588235294117647,0.0526315789473684,0.0625,0.0555555555555556,0.0666666

666666667,0.0625,0.0555555555555556,0.0625,0.0588235294117647,0.0555555555555556,0.0714285714285714,0.0625,0.0555555555555556,0.0625,0.0555555555555556,0.0625,0.0625,

0.0714285714285714,0.0909090909090909,0.0714285714285714,0.0555555555555556,0.0666666666666667,0.0769230769230769,0.0588235294117647,0.0526315789473684,0.05882352

94117647,0.0625,0.0588235294117647,0.0714285714285714,0.0555555555555556,0.0526315789473684,0.0769230769230769,0.125,0.0588235294117647,0.111111111111111,0.0526315

789473684,0.0555555555555556,0.0625,0.0769230769230769,0.0526315789473684,0.0625,0.0588235294117647,0.0666666666666667,0.0666666666666667,0.0588235294117647,0.0526

315789473684,0.0526315789473684,0.0526315789473684,0.0588235294117647,0.0555555555555556,0.0833333333333333,0.0666666666666667,0.0588235294117647,0.0555555555555

556,0.0909090909090909,0.0555555555555556,0.0714285714285714,0.0714285714285714

0.0588235294117647,0.0714285714285714,0.0666666666666667,0.111111111111111,0.0769230769230769,0.0769230769230769,0.0588235294117647,0.0833333333333333,0.066666666

6666667,0.0625,0.0769230769230769,0.0526315789473684,0.0625,0.0909090909090909,0.1,0.0769230769230769,0.0769230769230769,0.0625,0.1,0.0666666666666667,0.066666666666

6667,0.0833333333333333,0.0714285714285714,0.0909090909090909,0.0833333333333333,0.0769230769230769,0.0714285714285714,0.0588235294117647,0.0769230769230769,0.071

4285714285714,0.0833333333333333,0.0666666666666667,0.0588235294117647,0.0769230769230769,0.0909090909090909,0.0625,0.0769230769230769,0.0909090909090909,0.1,0.066

6666666666667,0.0714285714285714,0.0526315789473684,0.0625,0.0769230769230769,0.0666666666666667,0.0714285714285714,0.0666666666666667,0.1,0.0769230769230769,0.076

9230769230769,0.0625,0.0714285714285714,0.1,0.0555555555555556,1,0.1,0.1,0.0769230769230769,0.0625,0.0666666666666667,0.0625,0.0666666666666667,0.0588235294117647,0.08

33333333333333,0.0833333333333333,0.0769230769230769,0.0833333333333333,0.0769230769230769,0.0833333333333333,0.0588235294117647,0.0833333333333333,0.0625,0.09090

90909090909,0.0666666666666667,0.0833333333333333,0.0769230769230769,0.0769230769230769,0.0909090909090909,0.0714285714285714,0.0666666666666667,0.09090909090909

09,0.0909090909090909,0.0666666666666667,0.0769230769230769,0.0666666666666667,0.0769230769230769,0.0769230769230769,0.0526315789473684,0.0714285714285714,0.09090

90909090909,0.0666666666666667,0.0833333333333333,0.125,0.0833333333333333,0.0625,0.0714285714285714,0.0769230769230769,0.0714285714285714,0.0909090909090909,0.066

6666666666667,0.0625,0.0555555555555556,0.0666666666666667,0.0714285714285714,0.0625,0.0625,0.0666666666666667,0.0769230769230769,0.1,0.25,0.111111111111111,0.071428

5714285714,0.0833333333333333,0.0833333333333333,0.0833333333333333,0.0625,0.0625,0.0625,0.0714285714285714,0.0666666666666667,0.0588235294117647,0.05,0.07142857142

85714,0.333333333333333,0.0625,0.0666666666666667,0.0909090909090909,0.0909090909090909

0.0714285714285714,0.0909090909090909,0.0833333333333333,0.166666666666667,0.1,0.1,0.0714285714285714,0.111111111111111,0.0833333333333333,0.0769230769230769,0.1,0.0

625,0.0769230769230769,0.125,0.142857142857143,0.1,0.1,0.0769230769230769,0.142857142857143,0.0833333333333333,0.0833333333333333,0.111111111111111,0.09090909090909

09,0.125,0.111111111111111,0.1,0.0909090909090909,0.0714285714285714,0.1,0.0909090909090909,0.111111111111111,0.0833333333333333,0.0714285714285714,0.1,0.125,0.076923

0769230769,0.1,0.125,0.2,0.0833333333333333,0.0909090909090909,0.0625,0.0769230769230769,0.1,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.1111111111111

11,0.1,0.1,0.0769230769230769,0.0909090909090909,0.111111111111111,0.0666666666666667,0.1,1,0.142857142857143,0.1,0.0769230769230769,0.0833333333333333,0.076923076923

0769,0.0833333333333333,0.0714285714285714,0.111111111111111,0.111111111111111,0.1,0.111111111111111,0.1,0.111111111111111,0.0714285714285714,0.111111111111111,0.07

69230769230769,0.125,0.0833333333333333,0.111111111111111,0.1,0.125,0.125,0.0909090909090909,0.0833333333333333,0.125,0.125,0.0833333333333333,0.1,0.0833333333333333,0

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090909,0.125,0.0833333333333333,0.0769230769230769,0.0666666666666667,0.0833333333333333,0.0909090909090909,0.0769230769230769,0.0769230769230769,0.08333333333333

33,0.1,0.142857142857143,0.0909090909090909,0.125,0.0909090909090909,0.111111111111111,0.111111111111111,0.111111111111111,0.0769230769230769,0.0769230769230769,0.0

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5

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66667

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1,0.125,0.0833333333333333,0.0833333333333333,0.125,0.0833333333333333,0.0833333333333333,0.0769230769230769,0.0625,0.0666666666666667,0.1,0.0666666666666667,0.08333

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769,0.166666666666667,0.0833333333333333,0.142857142857143,0.0588235294117647,0.0833333333333333,0.0769230769230769,0.0769230769230769,0.0769230769230769,0.066666

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09090909

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1111,0.0909090909090909,0.0769230769230769,0.0769230769230769,0.0769230769230769,0.0909090909090909,0.0833333333333333,0.0714285714285714,0.0588235294117647,0.090

9090909090909,0.0833333333333333,0.0769230769230769,0.0833333333333333,0.125,0.166666666666667

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30769230769,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.1,0.0909090909090909,0.0833333333333333,0.111111111111111,0.0909090909090909,0.083333333333

3333,0.0833333333333333,0.0769230769230769,0.0666666666666667,0.0909090909090909,0.111111111111111,0.0714285714285714,0.0909090909090909,0.111111111111111,0.1,0.2,0

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69,0.0666666666666667,0.1,0.1,1,0.1,0.0909090909090909,0.1,0.0666666666666667,0.0833333333333333,0.0714285714285714,0.0909090909090909,0.0769230769230769,0.1,0.0909090

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30769230769,0.111111111111111,0.111111111111111

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230769,0.142857142857143,0.125,0.125,0.333333333333333,0.0769230769230769,0.1,0.111111111111111,0.111111111111111,0.111111111111111,0.0909090909090909,0.11111111111

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09

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05,0.0714285714285714,1,0.0625,0.0666666666666667,0.0909090909090909,0.0909090909090909

0.0555555555555556,0.111111111111111,0.0625,0.0833333333333333,0.0714285714285714,0.0714285714285714,0.166666666666667,0.0769230769230769,0.0625,0.0588235294117647

,0.0714285714285714,0.125,0.0588235294117647,0.0833333333333333,0.0769230769230769,0.0714285714285714,0.0625,0.0588235294117647,0.0909090909090909,0.0625,0.0625,0.06

66666666666667,0.0666666666666667,0.0714285714285714,0.0769230769230769,0.0714285714285714,0.0666666666666667,0.166666666666667,0.0714285714285714,0.066666666666

6667,0.0666666666666667,0.0625,0.0555555555555556,0.0714285714285714,0.0833333333333333,0.0588235294117647,0.0714285714285714,0.0833333333333333,0.076923076923076

9,0.1,0.0666666666666667,0.05,0.0588235294117647,0.0714285714285714,0.1,0.111111111111111,0.0625,0.0666666666666667,0.0714285714285714,0.0714285714285714,0.058823529

4117647,0.111111111111111,0.0666666666666667,0.0909090909090909,0.0625,0.0769230769230769,0.0909090909090909,0.0714285714285714,0.0588235294117647,0.0625,0.0588235

294117647,0.0625,0.0555555555555556,0.0769230769230769,0.0769230769230769,0.125,0.0769230769230769,0.0714285714285714,0.0769230769230769,0.0555555555555556,0.06666

66666666667,0.0588235294117647,0.0714285714285714,0.0625,0.0769230769230769,0.0714285714285714,0.0625,0.0714285714285714,0.0666666666666667,0.0625,0.08333333333333

33,0.0714285714285714,0.0625,0.0714285714285714,0.0625,0.0714285714285714,0.0714285714285714,0.0833333333333333,0.111111111111111,0.0833333333333333,0.0625,0.076923

0769230769,0.0909090909090909,0.0666666666666667,0.0588235294117647,0.0666666666666667,0.0714285714285714,0.0666666666666667,0.0833333333333333,0.0625,0.058823529

4117647,0.142857142857143,0.1,0.0666666666666667,0.0909090909090909,0.0588235294117647,0.0625,0.0714285714285714,0.0909090909090909,0.0588235294117647,0.0714285714

285714,0.0666666666666667,0.0769230769230769,0.0769230769230769,0.0666666666666667,0.0588235294117647,0.0588235294117647,0.0588235294117647,0.0666666666666667,0.0

625,0.166666666666667,0.111111111111111,0.0666666666666667,0.0625,1,0.0625,0.0833333333333333,0.0833333333333333

0.0833333333333333,0.0714285714285714,0.0769230769230769,0.0909090909090909,0.0769230769230769,0.0909090909090909,0.0588235294117647,0.0833333333333333,0.1,0.09090

90909090909,0.0909090909090909,0.0526315789473684,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.111111111111111,0.0666666666666667,0.071428571428571

4,0.1,0.0769230769230769,0.0909090909090909,0.0714285714285714,0.111111111111111,0.0769230769230769,0.1,0.111111111111111,0.111111111111111,0.0588235294117647,0.076

9230769230769,0.0714285714285714,0.0714285714285714,0.125,0.0833333333333333,0.0909090909090909,0.0909090909090909,0.0833333333333333,0.0909090909090909,0.0909090

909090909,0.0833333333333333,0.0666666666666667,0.0714285714285714,0.0714285714285714,0.0714285714285714,0.0909090909090909,0.0666666666666667,0.0714285714285714,

0.0769230769230769,0.0714285714285714,0.0769230769230769,0.0769230769230769,0.0714285714285714,0.0714285714285714,0.0714285714285714,0.0555555555555556,0.06666666

66666667,0.0833333333333333,0.166666666666667,0.0769230769230769,0.0909090909090909,0.0769230769230769,0.0714285714285714,0.0909090909090909,0.0666666666666667,0.

1,0.0833333333333333,0.0769230769230769,0.166666666666667,0.125,0.0833333333333333,0.0833333333333333,0.0714285714285714,0.0909090909090909,0.0769230769230769,0.5,0

.0833333333333333,0.0769230769230769,0.0666666666666667,0.0769230769230769,0.0714285714285714,0.1,0.0909090909090909,0.0769230769230769,0.1,0.0909090909090909,0.076

9230769230769,0.125,0.111111111111111,0.0526315789473684,0.0714285714285714,0.0909090909090909,0.0666666666666667,0.1,0.1,0.0714285714285714,0.0909090909090909,0.07

14285714285714,0.0769230769230769,0.1,0.0909090909090909,0.0769230769230769,0.0833333333333333,0.0555555555555556,0.0666666666666667,0.0833333333333333,0.0625,0.16

6666666666667,0.1,0.0909090909090909,0.166666666666667,0.0625,0.125,0.0833333333333333,0.0833333333333333,0.0833333333333333,0.0714285714285714,0.142857142857143,0.

0625,0.0833333333333333,0.2,0.0769230769230769,0.0588235294117647,0.05,0.0833333333333333,0.0666666666666667,0.0625,1,0.0909090909090909,0.0909090909090909

0.0769230769230769,0.1,0.0909090909090909,0.142857142857143,0.111111111111111,0.111111111111111,0.0769230769230769,0.125,0.0909090909090909,0.0833333333333333,0.111

111111111111,0.0666666666666667,0.0833333333333333,0.142857142857143,0.125,0.111111111111111,0.0909090909090909,0.0833333333333333,0.166666666666667,0.09090909090

90909,0.0909090909090909,0.1,0.1,0.111111111111111,0.125,0.111111111111111,0.1,0.0769230769230769,0.111111111111111,0.1,0.1,0.0909090909090909,0.0769230769230769,0.111

111111111111,0.142857142857143,0.0833333333333333,0.111111111111111,0.142857142857143,0.125,0.0909090909090909,0.1,0.0666666666666667,0.0833333333333333,0.11111111

1111111,0.0909090909090909,0.1,0.0909090909090909,0.1,0.111111111111111,0.111111111111111,0.0833333333333333,0.1,0.1,0.0714285714285714,0.0909090909090909,0.125,0.166

666666666667,0.111111111111111,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.0909090909090909,0.0769230769230769,0.125,0.125,0.111111111111111,0.125,0.

111111111111111,0.125,0.0769230769230769,0.1,0.0833333333333333,0.111111111111111,0.0909090909090909,0.125,0.111111111111111,0.0909090909090909,0.111111111111111,0.

1,0.0909090909090909,0.142857142857143,0.111111111111111,0.0909090909090909,0.111111111111111,0.0909090909090909,0.111111111111111,0.111111111111111,0.06666666666

66667,0.1,0.142857142857143,0.0909090909090909,0.125,0.166666666666667,0.1,0.0833333333333333,0.1,0.111111111111111,0.1,0.142857142857143,0.0909090909090909,0.0833333

333333333,0.0714285714285714,0.0909090909090909,0.1,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.111111111111111,0.166666666666667,0.083333333333333

3,0.111111111111111,0.1,0.125,0.125,0.1,0.0833333333333333,0.0833333333333333,0.0833333333333333,0.1,0.0909090909090909,0.0769230769230769,0.0625,0.1,0.090909090909090

9,0.0833333333333333,0.0909090909090909,1,0.142857142857143

0.0769230769230769,0.1,0.0909090909090909,0.142857142857143,0.2,0.111111111111111,0.0769230769230769,0.166666666666667,0.0909090909090909,0.0833333333333333,0.11111

1111111111,0.0666666666666667,0.0833333333333333,0.142857142857143,0.125,0.111111111111111,0.0909090909090909,0.0833333333333333,0.166666666666667,0.0909090909090

909,0.0909090909090909,0.1,0.1,0.111111111111111,0.125,0.111111111111111,0.1,0.0769230769230769,0.142857142857143,0.1,0.1,0.0909090909090909,0.0769230769230769,0.11111

1111111111,0.142857142857143,0.0833333333333333,0.111111111111111,0.2,0.125,0.0909090909090909,0.1,0.0666666666666667,0.0833333333333333,0.111111111111111,0.0909090

909090909,0.1,0.0909090909090909,0.1,0.142857142857143,0.142857142857143,0.0833333333333333,0.1,0.1,0.0714285714285714,0.0909090909090909,0.125,0.166666666666667,0.11

1111111111111,0.0833333333333333,0.0909090909090909,0.0833333333333333,0.0909090909090909,0.0769230769230769,0.125,0.166666666666667,0.111111111111111,0.125,0.1111

11111111111,0.125,0.0769230769230769,0.1,0.0833333333333333,0.111111111111111,0.0909090909090909,0.166666666666667,0.2,0.0909090909090909,0.111111111111111,0.166666

666666667,0.0909090909090909,0.142857142857143,0.111111111111111,0.0909090909090909,0.111111111111111,0.0909090909090909,0.111111111111111,0.111111111111111,0.066

6666666666667,0.1,0.142857142857143,0.0909090909090909,0.125,0.166666666666667,0.1,0.0833333333333333,0.1,0.111111111111111,0.1,0.142857142857143,0.0909090909090909,0

.0833333333333333,0.0714285714285714,0.0909090909090909,0.1,0.0833333333333333,0.0833333333333333,0.0909090909090909,0.111111111111111,0.166666666666667,0.08333333

33333333,0.111111111111111,0.1,0.125,0.125,0.1,0.0833333333333333,0.0833333333333333,0.0833333333333333,0.1,0.0909090909090909,0.0769230769230769,0.0625,0.1,0.09090909

09090909,0.0833333333333333,0.0909090909090909,0.142857142857143,1

Exhibit 2.C – Category Sample Data from 2008

Cynthia-Barnhart-Ellis-L-Johnson-George-L-Nemhauser-Martin-WP-SavelsberghPamela-H-Vance-1998,Anitesh-Barua-Charles-H-KriebelTridas-Mukhopadhyay-1995,C-Batini-M-LenzeriniS-B-Navathe-1986,Paul-BeckmanAsa-Forsman-2002,Barry-W-Boehm-1988,Barry-W-Boehm-1996,Barry-W-BoehmTom-DeMarco-1997,Erik-Brynjolfsson-1993,Erik-BrynjolfssonLorin-Hitt-1996,Erik-BrynjolfssonMichael-D-Smith-2000,Russell-L-Ackoff-1967,M-AlaviD-E-Leidner-2005,Gad-AriavMichael-J-Ginzberg-1985,M-M-Astrahan-M-W-Blasgen-et-al-1976,Susan-AtheyJohn-Plotnicki-2000,Yannis-BakosErik-Brynjolfsson-1999,J-Banerjee-H-T-Chou-J-F-Garza-K-Won-D-Woelk-N-BallouH-J-Kim-1987,Jay-Banerjee-Won-Kim-Hyoung-Joo-KimHenry-F-Korth-1987,Rajiv-D-BankerRobert-J-Kauffman-2004,P-Buneman-2001,J-K-Burgoon-J-A-Bonito-B-Bengtsson-A-Ramirez-N-E-DunbarN-Miczo-1999,Vannevar-Bush-1945,Gerard-P-CachonMarshall-L-Fisher-2000,J-W-Cao-J-M-Crews-M-Lin-A-Deokar-J-K-BurgoonJ-F-Nunamaker-2006,Elva-Corona-Carlos-A-Reyes-Garcia-2003,Donald-D-ChamberlinRaymond-F-Boyce-1974,K-ChariA-Hevner-2006,Chen-H-Shankaranarayanan-G-Iyer-A-She-L-1998,Peter-Pin-Shan-Chen-1976,Eric-K-Clemons-1991,R-H-Coase-1937,E-F-Codd-1970,E-F-Codd-1972,E-F-Codd-1979,Kathleen-R-ConnerC-K-Prahalad-1996,Terry-Connolly-Leonard-M-JessupJoseph-S-Valacich-1990,R-B-CooperR-W-Zmud-1990,Bill-Curtis-Marc-I-KellnerJim-Over-1992,Richard-L-DaftRobert-H-Lengel-1986,Ole-Johan-DahlKristen-Nygaard-1966,George-B-DantzigPhilip-Wolfe-1960,F-D-Davis-R-P-BagozziP-R-Warshaw-1989,Jason-Dedrick-Vijay-GurbaxaniKenneth-L-Kraemer-2003,Peter-J-Denning-1968,Allen-R-Dennis-Robert-M-FullerJoseph-S-Valacich-2008,Frank-DeRemerHans-Kron-1975,Geraldine-DesanctisJames-F-Courtney-1983,Gerardine-DeSanctisR-Brent-Gallupe-1987,Geraldine-Desanctis-Marshall-Scott-Poole-Howard-LewisGeorge-Desharnais-1991,Thomas-Devogele-Christine-ParentStefano-Spaccapietra-1998,Sanjeev-DewanKenneth-L-Kraemer-2000,Edsger-W-Dijkstra-1959,Edsger-W-Dijkstra-1968,Edsger-W-Dijkstra-1969,Clarence-A-Ellis-Simon-J-GibbsGail-Rein-1991,Clarence-A-EllisGary-J-Nutt-1980,R-Elmasri-J-WeeldreyerA-Hevner-1985,Tzilla-Elrad-Robert-E-FilmanAtef-Bader-2001,DC-Englebart-1962,W-K-English-EngelbarDcM-L-Berman-1967,Joseph-FarrellCarl-Shapiro-1988,EA-FeigenbaumBG-Buchanan-1993,Anthony-C-W-Finkelstein-Dov-Gabbay-Anthony-Hunter-Jeff-KramerBashar-Nuseibeh-1994,Marshall-L-Fisher-1981,W-B-FrakesKang-Kyo-2005,G-W-Furnas-1986,George-W-Furnas-1997,G-W-Furnas-T-K-Landauer-L-M-GomezS-T-Dumais-1987,J-GalegherR-E-Kraut-1994,R-B-Gallupe-A-R-Dennis-W-H-Cooper-J-S-Valacich-L-M-BastianuttiJ-F-Nunamaker-1992,Diimitrios-Georgakopoulos-Mark-HornickAmit-P-Sheth-1995,Cheng-Hian-Goh-Stuart-E-MadnickMichael-D-Siegel-1994,Vijay-GurbaxaniSeungjin-Whang-1991,Mendelson-Haim-1985,Venky-Harinarayan-Anand-RajaramanJeffrey-D-Ullman-1996,Stephen-HayneSudha-Ram-1990,Robin-Hogarth-Herbert-A-Simon-George-B-Dantzig-et-al-1986,AR-Hevner-March-S-Ram-S-2004,G-P-Huber-1984,M-N-HuhnsM-P-Singh-2005,Richard-HullRoger-King-1987,Kun-Shin-Im-Kee-Young-KimJoon-S-Kim-1998,Kun-Shin-Im-Kee-Young-KimJoon-S-Kim-1998,Sirkka-L-Jarvenpaa-Kathleen-KnollDorothy-E-Leidner-1998,Sirkka-L-Jarvenpaa-V-Srinivasan-RaoGeorge-P-Huber-1988,Park-JinsooRam-Sudha-2004,R-Johansen-1977,KS-Jones-1996,E-Karahanna-D-W-StraubN-L-Chervany-1999,Joyce-McDowell-Kathleen-Dahlgren-Edward-P-Stabler-1989,Michael-Kifer-Won-KimYehoshua-Sagiv-1992,Dongmin-KimIzak-Benbasat-2003,Won-Kim-1982,Y-G-KimS-T-March-1995,J-F-Nunamaker-Jr-Minder-ChenTitus-DM-Purdin-1990-1991,J-F-Nunamaker-A-R-Dennis-J-S-ValacichD-R-Vogel-1991,J-F-Nunamaker-A-R-Dennis-J-S-Valacich-D-R-VogelJ-F-George-1991,Wanda-J-Orlikowski-2000,Wanda-J-OrlikowskiJ-J-Baroudi-1991,David-Lorge-Parnas-1972,David-Lorge-Parnas-1972,David-Lorge-Parnas-1976,David-Lorge-Parnas-1999,Lin-Liang-Patrick-Suppes-Michael-Buettner-1996,P-PirolliS-Card-1999,Peter-ToddIzak-Benbasat-1991,Haridimos-Tsoukas-1996,M-Turoff-1971,M-Turoff-1991,V-Venkatesh-M-G-Morris-G-B-DavisF-D-Davis-2003,Y-Richard-WangStuart-E-Madnick-1989,Richard-T-Watson-Geraldine-DesanctisMarshall-Scott-Poole-1988,Jian-Yun-Nie-Wessel-Kraaij-Michel-Simard-2003,Oliver-E-Williamson-1981,Terry-Winograd-1988,Morton-E-Winston-Roger-ChaffinDouglas-Herrmann-1987,William-R-KingVikram-Sethi-1999,Rob-Kling-1991,Rob-Kling-1999,N-Kock-2004,Jeff-KramerJeff-Magee-1985,Jeff-KramerJeff-Magee-1990,Jeff-Kramer-Jeff-MageeM-S-Sloman-1989,Robert-Kraut-Michael-Patterson-Vicki-Lundmark-Sara-Kiesler-Tridas-MukophadhyayWilliam-Scherlis-1998,Robert-N-Kubik-1966,Borje-Langefors-1963,J-A-Larson-S-B-NavatheR-Elmasri-1989,Hau-L-Lee-V-PadmanabhanSeungjin-Whang-1997,Hau-L-LeeSeungjin-Whang-2001,LicklideJc-R-W-TaylorE-Herbert-1968,J-C-R-Licklider-1960,Thomas-W-Malone-Joanne-YatesRobert-I-Benjamin-1987,Salvatore-T-MarchSangkyu-Rho-1995,Salvatore-T-MarchDennis-G-Serverance-1977,A-P-MasseyM-M-Montoya-Weiss-2006,Hammer-MichaelMcLeod-Dennis-1978,C-Mohan-1980,Brad-A-Myers-1998,James-M-Neighbors-1984,A-Newell-Shaw-JC-&-Simon-HA-1960,Allen-NewellStuart-K-Card-1985,A-NewellH-A-Simon-1976,J-Nielsen-1992,J-Nielsen-1992,J-NielsenJ-M-Faber-1996,Ikujiro-Nonaka-1994,J-F-Nunamaker-1997,J-F-Nunamaker-Jr-RO-Briggs-DD-Mittleman-D-R-VogelPA-Balthazard-1996-1997,Sudha-Ram-1991,Sudha-Ram-1995,Bruce-G-Buchanan-Robert-K-Lindsay-Edward-A-Feigenbaum-Joshua-Lederberg-1993,G-Robertson-Allen-NewellK-Ramakrishna-1977,Dan-Roth-Roni-Khardon-1997,Douglas-T-Ross-1976,Winston-W-Royce-1970,G-Salton-1980,Pamela-Samuelson-1994,Pamela-Samuelson-2001,S-SawyerH-Rosenbaum-2000,Fabrizio-Sebastiani-2002,Bart-SelmanHenry-Kautz-1996,K-ShahAmit-P-Sheth-1999,Michael-E-Shank-Andrew-C-BoyntonRobert-W-Zmud-1985,Carl-ShapiroHal-R-Varian-1998,Amit-P-Sheth-C-Bertram-D-Avant-B-Hammond-K-KochutY-Warke-2002,Amit-P-ShethN-Krishnakumar-1995,B-Shneiderman-1983,J-M-SmithD-C-P-Smith-1977,S-SpaccapietraC-Parent-1994,Stefano-Spaccapietra-Christine-ParentYann-Dupont-1992,Ralph-H-Sprague-1980,Lee-SproullSara-Kiesler-1986,Lee-S-SproullKay-R-Hofmeister-1986,M-Stefik-G-Foster-D-G-Bobrow-K-Kahn-S-LanningL-Suchman-1987,W-P-Stevens-G-J-MyersLarry-L-Constantine-1974,Michael-Stonebraker-1987,Michael-Stonebraker-Gerald-Held-Eugene-WongPeter-Kreps-1976,V-C-StoreyD-Dey-2002,Vijayan-SugumaranVeda-C-Storey-2002,David-J-Teece-Gary-PisanoAmy-Shuen-1997,Daniel-TeichroewJohn-F-Lubin-1966,Toby-J-TeoreyTad-B-Pinkerton-1972,Toby-J-Teorey-Dongqing-YangJames-P-Fry-1986,Niklaus-Wirth-1971,Vladimir-Zwass-1996theoretical,applied,rigor,relevance,review,innovation,technical,behavioral4,2,5,3,2,5,5,14,2,2,4,4,2,5,24,2,1,5,3,3,4,22,4,4,3,5,4,3,33,5,1,4,1,4,2,43,3,2,3,2,2,2,34,2,1,5,5,1,1,54,3,3,3,5,5,2,33,4,4,4,3,3,1,53,4,4,4,1,2,2,12,4,3,5,1,3,1,54,2,2,4,5,2,1,44,2,3,3,4,3,4,13,4,4,4,3,4,4,15,1,4,2,2,4,4,24,4,4,5,3,3,3,43,4,4,4,3,3,3,13,5,3,5,2,4,5,13,4,3,5,5,3,2,24,1,3,2,3,4,4,15,3,2,4,3,2,1,53,1,2,4,1,4,2,34,2,5,1,1,5,5,15,3,4,5,5,4,3,32,4,4,3,2,3,4,14,3,3,4,1,5,5,15,3,5,3,1,4,5,14,4,5,4,3,4,5,14,4,4,4,3,4,4,15,1,1,5,4,2,1,55,4,3,4,4,3,1,45,2,4,5,3,5,2,15,2,3,5,1,5,5,15,3,5,4,2,4,5,15,2,3,3,3,4,1,44,3,2,4,2,2,2,43,4,2,4,1,3,1,54,2,2,4,3,3,4,25,3,4,4,3,4,1,55,4,5,5,4,5,5,15,3,5,5,4,4,5,24,4,4,5,4,4,3,45,4,4,4,5,3,4,44,2,4,2,3,4,5,1

5,1,3,1,4,3,1,41,5,1,5,1,5,5,14,3,2,4,3,2,2,34,4,3,4,5,3,2,43,4,3,4,4,2,2,42,5,4,1,2,4,4,14,4,4,5,4,4,4,33,3,2,3,3,4,2,13,3,3,4,2,2,4,12,5,2,4,1,4,5,33,4,3,4,4,2,2,42,1,2,4,5,1,2,14,4,4,4,3,4,5,12,4,2,4,2,4,5,14,3,2,5,2,3,2,41,5,1,5,1,5,5,14,3,4,2,3,3,2,43,3,2,3,5,2,3,14,2,2,4,3,4,2,14,3,5,3,3,4,5,11,4,3,3,5,1,5,14,4,3,3,3,4,5,25,2,4,4,2,3,2,21,3,1,4,3,1,3,14,5,4,5,4,4,5,35,4,4,1,4,3,1,55,3,4,4,5,4,5,23,3,2,4,2,4,4,14,2,2,3,1,2,1,44,4,3,3,1,3,2,45,2,5,4,2,4,3,15,1,3,3,2,4,3,13,4,2,3,4,3,3,34,3,3,3,3,4,3,24,5,2,4,3,2,2,42,4,2,4,2,3,5,13,4,3,4,5,2,3,12,4,1,5,1,2,1,51,1,4,4,5,1,1,15,1,1,5,1,3,1,53,4,4,3,2,3,2,32,4,4,4,3,4,4,11,2,1,5,5,1,1,21,1,2,4,4,1,2,1

2,4,4,4,2,3,1,54,4,3,4,3,4,5,13,5,3,4,2,4,5,14,4,4,3,3,4,4,44,4,4,4,3,4,4,15,3,5,5,5,3,4,24,1,1,5,5,1,1,12,4,2,4,4,3,1,43,5,3,5,4,3,3,44,2,3,4,2,3,1,43,2,2,4,5,2,1,33,4,3,4,2,4,5,13,4,3,4,2,4,4,13,4,2,3,2,4,5,13,1,2,4,3,2,2,22,4,2,4,2,2,5,15,2,2,4,3,4,4,43,4,3,4,2,3,2,45,2,2,4,3,3,1,52,2,2,3,3,2,1,43,4,3,3,3,4,2,45,1,3,4,4,4,2,54,4,4,4,2,3,4,14,4,4,4,3,4,3,53,4,4,3,4,4,4,14,4,4,4,2,4,2,53,4,4,4,2,5,5,23,2,3,3,2,3,3,12,3,1,5,2,1,1,33,4,3,3,2,3,1,54,3,4,4,5,2,3,35,1,1,2,3,4,1,53,3,4,4,2,3,5,23,4,2,3,2,5,4,13,3,4,4,2,4,3,12,4,1,5,3,1,1,53,1,4,1,1,3,5,14,2,3,2,2,1,5,13,3,2,4,1,5,1,54,2,5,4,2,5,5,11,5,3,5,3,3,2,34,4,3,3,4,3,4,25,4,2,3,2,5,2,34,3,3,5,2,4,2,4

3,3,4,3,2,3,3,11,5,5,1,2,4,5,15,1,1,2,4,4,1,44,3,3,4,2,5,5,13,2,2,3,3,3,3,14,3,3,4,5,3,4,42,5,2,5,2,3,5,44,3,1,4,1,4,3,23,3,2,4,3,2,1,55,1,3,4,2,4,2,33,4,1,3,2,3,3,43,4,2,3,1,3,3,32,4,3,4,1,4,1,44,2,1,3,3,4,1,52,5,3,4,4,4,3,53,3,5,4,5,2,2,51,4,2,4,4,3,3,22,4,3,4,2,4,5,1

1,4,3,3,3,4,4,33,4,3,3,2,3,3,33,5,4,4,1,3,5,13,5,3,4,2,5,5,14,4,1,4,1,4,2,42,4,4,4,3,3,4,23,1,2,4,3,2,1,24,3,2,4,2,3,1,52,3,3,4,4,2,1,43,4,3,3,5,2,5,13,4,4,4,3,5,4,14,4,4,4,1,4,5,11,4,2,4,1,4,1,52,4,2,4,4,2,2,41,4,2,5,3,4,4,21,5,2,5,1,3,5,12,4,3,4,2,4,2,24,3,4,3,3,4,5,1

3,3,4,4,2,4,4,14,4,3,4,3,4,5,13,3,3,4,4,3,3,32,5,3,4,2,4,2,52,4,1,4,2,3,1,52,4,3,4,2,4,4,31,5,1,5,1,2,5,14,3,3,4,1,5,5,12,4,4,4,2,3,5,14,4,4,4,2,5,5,13,4,3,4,3,3,4,14,1,2,3,3,3,1,51,5,3,3,4,2,4,21,3,4,4,1,3,5,14,3,4,3,2,3,4,12,4,1,4,2,4,5,13,3,1,4,3,2,2,1