antecedents and outcomes of new product development speed: an interdisciplinary conceptual framework
TRANSCRIPT
![Page 1: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/1.jpg)
Antecedents and outcomes of new product development speed
An interdisciplinary conceptual framework
Ajay Menona, Jhinuk Chowdhuryb, Bryan A. Lukasc,*
aCollege of Business, Colorado State University, Fort Collins, CO 80523, USAbCollege of Business Administration, University of North Texas, Denton, TX 76203, USA
cFaculty of Economics and Commerce, University of Melbourne, Parkville, VIC 3052, Australia
Received 1 November 2000; received in revised form 25 February 2001; accepted 25 March 2001
Abstract
Modern marketplaces are characterized by speedy technological breakthroughs, rapid changes in sociopolitical conditions and consumer
tastes, and continuously shrinking product life cycles. Consequently, companies must consider strategies that reduce the time required to take
a product from concept to market. The authors draw from a diverse body of published research findings and corporate experiences to generate
an interdisciplinary inventory of organizational factors associated with short new product development (NPD) cycles. An integrative
framework is presented that describes the influence of infrastructural characteristics (structure, culture, and capital investment) and procedural
factors (groupwork, controls, and incentives) on NPD speed, and the subsequent effects on organizational outcomes (revenue, profitability,
corporate image, and brand image). D 2002 Elsevier Science Inc. All rights reserved.
Keywords: New product development speed; Structure; Culture; Capital investment; Groupwork controls; Incentives; Revenue; Profitability; Corporate image;
Brand image
1. Introduction
The competitive edge gained by an organization in
developing a new product quickly is well documented in
the marketing literature [1–14]. In addition to higher profit,
for example, a short new product development (NPD) cycle
can afford companies significant cost reduction, greater
market segment coverage, and a dominant leadership role
in the marketplace. With the increasing flow of information
between and within businesses and customers, and as
product life cycles continue to shrink, rapid response to
changing market conditions is no longer just smart business
practice — it is imperative.
A variety of strategic concepts (see Table 1) bear witness
to the growing realization of, and recent emphasis on, the
importance of NPD speed — defined as the pace of
activities between idea conception and product implementa-
tion. Despite the prominence of speed issues in popular
business-oriented publications, thorough academic exami-
nations of them have been scarce. For the most part,
business publications and academic literature have exam-
ined techniques and processes designed to improve produc-
tivity at individual stages or enhance only certain aspects of
the NPD process. The use of technological advancements
such as computer-aided systems of design and manufactur-
ing (CAD and CAM) [15] and the practice of assigning
product development to multifunctional teams [10,16–
18,26,27,30] are examples of widely discussed techniques
for speeding products through the developmental process.
We examine published research findings and business
experiences to generate an inventory of organizational
factors related to NPD speed and use it to develop an
integrated conceptual framework. Although organizational
factors have been studied extensively in the literature on
employee motivation, strategic decision processes, corporate
governance, and organizational characteristics [19–22], and
although recent evidence suggests that they influence organ-
izational performance [23–25], few studies have related
them to NPD speed. The objectives of this study are to (1)
draw on the literature related to organization theory in
diverse academic areas to develop an interdisciplinary con-
ceptual framework for the study of NPD speed, antecedent
0019-8501/02/$ – see front matter D 2002 Elsevier Science Inc. All rights reserved.
PII: S0019 -8501 (01 )00163 -8
* Corresponding author. Tel.: +61-3-8344-5335; fax: +61-3-9347-
3770.
E-mail address: [email protected] (B.A. Lukas).
Industrial Marketing Management 31 (2002) 317–328
![Page 2: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/2.jpg)
factors, and outcome factors, and (2) present an interdiscip-
linary inventory of theoretical propositions.
2. Conceptual framework
Clearly, some of the major factors that influence a
company’s decision to adopt fast NPD as a critical issue
in its strategic business plan are external to the company:
intensely competitive markets, rapidly changing consumer
tastes, accelerating technological advancements, lack of
patent protection, and maturity of product life cycles, among
others. Organizations that do not respond to such factors
adequately and in a timely way may incur a severe com-
petitive disadvantage [31,32]. However, in our attempt to
emphasize actionable variables, we address only those
antecedent factors that are internal to the organization. In
particular, each of the factors we explore is subject to
managerial influence and is an essential element of stra-
tegic business plans. In our interdisciplinary conceptual
framework, we identify two sets of antecedent variables:
infrastructural variables (structure, culture, and capital
Table 1
Constructs related to NPD speed
Construct Study Definition/connotation
Time-to-market Vesey [131] Time-to-market is defined as ‘‘the elapsed time between product definition and product
availability’’ (p. 151).
Wheelwright and Clark [163] Time-to-market is ‘‘such a critical dimension of performance in the outstanding project that all of
the processes, systems, and activities in development are geared to fast action’’ (pp. 15–16).
Skibinski [83] Term used: time-to-market. Not defined. Article appears to use the construct in its usual
connotation. Discusses the impact of computerization and automation in information systems on
time-to-market.
DeFosse and Barr [81] Term used: time-to-market. Not defined. Article appears to use the term in its usual connotation.
The construct is considered to be related to product development time and delivery time. Article
lists the benefits of electronic data interchange and electronic graphic interchange on
time-to-market.
Kharbanda [34] Term used: time-to-market. Not defined. Appears to use the term in its usual connotation.
Discusses Xerox’s experiences in NPD.
Cycle time Meyer [2] The basic premise of fast cycle time (FCT) is ‘‘shortening the overall business cycle, which begins
with the initial identification of a customer’s needs and concludes with the receipt of payment for
the product shipped or service delivered’’ (p. 8). The overall cycle encompasses many other
subcycles including the NPD cycle.
Bower and Hout [17] Fast cycle time is believed to be ‘‘an organizational capability, a level of performance that
management shapes and builds into the company’s operating systems and the attitudes of
employees’’ (p. 110). It is also considered to be ‘‘a management paradigm, a way of thinking about
how to gain real advantage over competitors’’ (p. 111).
Robertson [164] Market penetration cycle time is ‘‘the amount of time it takes to reach maximum sales potential
for a new product’’ (p. 88).
Thomas [5] Total cycle time is ‘‘the time it takes from expression of a customer’s need until that need is
satisfied’’ (p. 1).
Wheelwright and Clark [163] Actual term used: Fast cycle competition. Not defined. Refers to the ability to get to market faster
and more efficiently with products that are well matched to the needs and expectations of
target customers.
Schmenner [165] Cycle time, also called lead time, manufacturing interval, and throughput time refers to the
‘‘calendar time it takes to make a product, from the time materials arrive at the factory and are
available to be worked on until the finished product is awaiting shipment to a customer’’ (p. 11).
Time-based
competition
Stalk [3] Time-based competitive advantage includes ‘‘strategies based on the cycle of flexible
manufacturing, rapid response, expanding variety, and increasing innovation . . .’’ (p. 45).
Blackburn [1] Time-based competition (TBC) is ‘‘the extension of JIT [just-in-time] principles into every facet of
the value delivery cycle, from research and development through marketing and distribution’’ (p. 21).
Handfield [166] Time-based competition refers to ‘‘the ability to deliver a customized product within a shorter
elapsed time than can competitors in the same market, and is usually measured in terms of delivery
lead time’’ (p. 2).
Bockerstette and Shell [167] Time-based manufacturing is a ‘‘collection of concepts, tools and techniques, and management
practices that gives a company quick response capability in designing, producing, and delivering
products and services to customers’’ (p. 2).
Stalk and Hout [4] Time-based competition involves ‘‘altering [organizations’] measures of performance from
competitive costs and quality to competitive costs, quality, and responsiveness’’ and offering products
and services ‘‘at lower cost and in less time than are their more pedestrian competitors’’ (p. 1).
Stalk and Webber [11] Actual term used: Time-based competition. Not defined. Refers to the pursuance of the use of
time as a source of competitive advantage. It is believed to be related to cycle time, time to market,
NPD time, time elapsed between order and cash, and real-time customer responsiveness.
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328318
![Page 3: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/3.jpg)
investment) and procedural variables (groupwork, controls,
and incentives).
2.1. Antecedents of NPD speed
2.1.1. Structure
Factors related to the structure of organizations play a
key role in short NPD cycles. In addition to academic
studies, corporate experiences corroborate this viewpoint.
For example, structural constraints were among some of the
most perplexing impediments to Xerox’s attempts to speed
up NPD [34]. In the mid-1980s, Xerox began to initiate
programs to create and maintain ‘agile’ organizational
structures in order to catch up with its competitors.
In the context of structural characteristics, bureaucracy
describes the rigidity and specificity of relationships
among individuals within an organization and the extent
to which decision making and responsibilities are dele-
gated throughout the organization (cf. Refs. [35,36]).
Research findings on formalization and centralization —
central aspects of bureaucracy — are divided on the issue
of how bureaucracy contributes to overall organizational
efficiency (cf. Ref. [28]). Kanungo [37] asserts that
formalization causes estrangement or noninvolvement
among professionals and is detrimental to overall organ-
izational goals. In contrast, Rizzo et al. [38] suggest that
lack of formalization causes role ambiguity. Organ and
Greene [39] indicate that formalization does not neces-
sarily have net negative effects on professionals. Kahn
et al. [40] found that although formalization may reduce
ambiguity, it increases the probability of role conflict.
Finally, drawing from the research of Fry and Slocum
[41] and Hall [42], Fredrickson [43] suggests that cent-
ralization promotes the initiation of decision processes by
only a dominant minority within the organization and
encourages opportunity-seeking behavior. He also propo-
ses that formalization results in decisive action only in
response to problems in the variables that are monitored
by the formal system.
We acknowledge the possibility of other advantages of
formalization and centralization, but we postulate that
those characteristics of bureaucracy essentially impede
the flow of information and are therefore inversely related
to short NPD cycles. The environment of an NPD process
is dynamic and fraught with uncertainty. As competitive
climates become unstable and less predictable, bureaucratic
structures must give way to networks of personal relation-
ships that work through informal, horizontal communica-
tion channels [44]. According to Bartlett and Ghoshal [44],
it is considerably more important to capture individual
capabilities and motivate the entire organization to respond
cooperatively to the demands of a dynamic environment
than it is to sustain elegant bureaucracies. Another stream
of research that examines organizational effectiveness from
the perspective of intraorganizational communication and
transaction efficiencies also suggests that bureaucracy is
related inversely to information dissemination and utiliza-
tion [29,33,45,46].
Proposition 1: Bureaucracy is related negatively to NPD
speed.
The literature on structural determinants of organiza-
tional efficacy is replete with recommendations of small,
flat organizations. Clearly, as Galbraith and Nathanson [47]
indicate, there is no ‘best’ organizational structure. An
optimal structure is contingent upon the requirements of
the task and the environment. However, for the rapid flow of
information, flat organizations appear to be superior. Meyer
[48, p. 95] indicates that in their quest to improve the way
companies serve customers, most modern organizations
tend to move away from; ‘‘functional hierarchies to a faster
and flatter . . . approach.’’ According to one estimate, the
number of channels of communication increases from 2 for
a 2-member team to 75 for a 5-member team to 11,253 for
an 11-member team [49]. The protocols imposed by the
many levels of a vertical hierarchy would severely impede
information flow.
In the context of rapid deployment of teams to an NPD
function, the structural impediments to information flow
warrant special attention. Because the traditional ‘tall’
organizational structure has an inherent tendency to make
corporations massive, unwieldy and sluggish, Charan [23]
highlights the need to rethink its merits. In his analysis of
the diseconomies of scale faced by contemporary busi-
nesses, Peters [50, p. 10] warns American businesses about
the perils of an enchantment with the ‘‘super-mega-network-
redoubled-Fortune-500-big.’’ Similar admonitions have
been issued by many other leading business scholars (e.g.,
Geroski [51] and Porter [52]). Indeed, a few of the blue chip
corporations in the US appear to recognize that growth, an
inevitable consequence of success, is frequently accompan-
ied by a loss in competitive vitality unless handled very
carefully. Johnson & Johnson, for instance, has split its
83,000-employee bureaucracy into several flat functional
units. Charan [23] advocates arrangements such as networks
that are informal and flexible. He provides illustrations of
the effectiveness of emerging networks at Conrail, Royal
Bank of Canada, and Dun & Bradstreet, among other
organizations. In a study of organizational influences on
the NPD process in financial services, it was found that
communication was one of the most critical factors [53].
We contend that a key aspect of a speed-based strategy is
the ability to respond to the demands of emerging conditions
in the marketplace, the customer base, the social milieu, the
regulatory environment, and the competitive situation. It is
critical to be able to uncover and rectify mistakes (or
unintended departures from original plans) or respond to
changing situations as early as possible. Organizations that
are flat in structure are able to combat the viscosity in
information flow that is so typical of hierarchical bureau-
cracies. Consequently, they have an advantage over ‘taller’
or multilayered organizations.
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328 319
![Page 4: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/4.jpg)
Proposition 2: Organizational structure layers are related
negatively to NPD speed.
2.1.2. Culture
The impact of corporate culture on organizational effi-
ciency is widely recognized. At Matsushita, new white-
collar employees spend most of their first 6 months in
cultural and spiritual training [44]. In the US, all Disney
employees are required to receive training related to the
corporation’s culture [54]. Support for the notions that
‘strong’ corporate cultures contribute to corporate triumphs
[55,56], and that top managers have a critical role in
developing and implementing organizational culture
[20,57–60], is abundant in academic journals and popular
publications. Many researchers and practitioners consider
top management commitment to establishing and imple-
menting cultural norms a cornerstone for the development
of a competitive, consumer-focused culture [8,61–63].
Schein [59, p. 9] defines corporate culture as ‘‘[the] pattern
of basic assumptions that a given group has invented,
discovered, or developed in learning to cope with its
problems of external adaptation and internal integration
and that have worked well enough to be considered valid
and, therefore, to be taught to new members as the correct
way to perceive, think and feel in relation to these prob-
lems.’’ In marketing, Deshpande and Webster [57, p. 6]
define organizational culture as ‘‘the pattern of shared
values and beliefs that help individuals understand organ-
izational functioning, and, thus provide norms for behavior
in the organization.’’
Organizations attempting to develop a speed-based cul-
ture are usually rewarded for educating employees on
exactly how speed is achieved and about the advantages
of delivering products to market quickly. When employees
are socialized into the traditional practices of the organiza-
tion, they come to accept and conform to behavior that
supports the goals of the company [64,65]. The process of
cultivating and managing change is fundamentally depend-
ent on the commitment of top managers. Mere lip service to
concepts critical to developing a speed-based culture is
likely to undermine the process.
Corporate cultures can be categorized by two dimensions
[46,66]: organizational processes and organizational em-
phasis. Organizational processes range from flexible and
spontaneous to controlled, stable, and ordered. Organiza-
tional emphasis refers to the organizations focus on either
internal or external constituents. Inherent in the combined
effects of these two orthogonal dimensions are characteristics
that either shorten or lengthen NPD cycles. An adhocratic
culture, characterized by flexibility and spontaneity, as well
as an external orientation, affords the best organizational
climate for short cycle time. Willingness to take risks
combined with an emphasis on invention, innovation, and
adaptation encourages quick decision making and imple-
mentation of innovative processes necessary for short cycle
time. Quinn [49] highlights the notion of ‘controlled chaos’
to refer to an organizational culture characterized by flex-
ibility, informal controls, dynamism, and adaptivity. In sharp
contrast, cultures with a focus on internal smoothing exer-
cises and emphasis on control, order, and stability tend to
perpetuate a complacent, status quo environment in which
rules dominate the daily functioning of the organization.
Such a cultural climate is likely to discourage risk tolerance
and impede innovative behavior.
Takeuchi and Nonaka [67] assert that exposure to a
reasonable amount of risk is necessary in shortening NPD
cycles. Starr [68] notes that although US managers rarely
made major business blunders during the 1950s and 1960s,
few truly new product revolutions occurred during those
decades. The ultraconservative corporate culture of that
period actively discouraged assuming risk. In contrast, many
of the characteristics of an accelerated NPD process trade
time for risk [63]. It is imperative for managers to create and
support a corporate culture that tolerates some failures as an
integral part of the product development process. The
rewards of being the first to market with a successful product
can more than compensate for some failures.
Nutt [69] and MacCrimmon and Wehrung [70] conclude
that by displaying speculative decision making, organiza-
tional decision makers can encourage others in the organ-
ization to be tolerant towards risk. By clearly articulating the
acceptable standards of risk-taking behavior, managers can
encourage desirable behavior and discourage unwarranted
risk proneness [71–74]. (For a detailed discussion on risk
behavior, see Sitkin and Pablo [75].)
Proposition 3: Adhocratic culture is related positively to
NPD speed.
Proposition 4: Risk-tolerant culture is related positively
to NPD speed.
2.1.3. Capital investment
That technology plays a vital role in accelerating NPD is
self-evident and well accepted. Capital-intensive organiza-
tions have the advantage of being able to use technology to
speed processes and protocols by exceptionally large fac-
tors. In our framework, capital investment in technology is
proposed to contribute to short NPD cycles in two ways.
First, investment in process technology provides the cap-
ability to reduce processing time in many physical oper-
ations, including designing, manufacturing, testing, and
transporting. Additionally, capital investments in process
technology make employees more productive and may even
aid in innovative breakthroughs. Second, investment in
information technology (manifested in the utilization of
hardware, software, and human capital pertaining to
information processing) enhances the speed and quality of
information processing and, thus, contributes to short
NPD cycles.
Included among process technology investments are
automated CAD and CAM systems. More recent develop-
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328320
![Page 5: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/5.jpg)
ments include computer-aided engineering (CAE) systems
that enable engineers to simulate the performance of proto-
types [76] and concurrent engineering, a process in which
several stages of NPD begin simultaneously instead of one
at a time in a sequential process [77]. Concurrent engineer-
ing usually affords savings in time-to-market ranging from
10% to 25% while yielding a better product (see Gehani
[78] for details on Eastman Kodak’s success with the
adoption of concurrent engineering in the development of
the Funsaver camera). Other technological advances directly
related to operational speed and, subsequently, NPD cycles
are simulation and rapid prototyping. Simulation provides
models of the manufacturing environment that managers can
use to test the effects of specific combinations of inputs on
the production process [79]. It often affords phenomenal
cost reductions through attenuated cycle times (see Yeich
[80] for details of cost savings achieved by the application
of this technique in an automobile plant). Rapid prototyping
takes CAD one-step further by creating tangible models of
even the most complex parts very quickly [15]. By con-
verting CAD data directly into physical three-dimensional
models, rapid prototyping enables engineers to test actual
models of proposed designs with relatively small invest-
ments of time and money.
Information technology can affect NPD speed in a
remarkable way. Backed by an abundance of evidence in
support of the beneficial effects of information technology,
we contend that the presence of systems and structures that
facilitate rapid exchange of relevant information between
functional areas is a key antecedent of fast NPD. An
organization’s commitment to information systems is evid-
ent not only in the deployment of hardware and software
tools that constitute the infrastructural makeup of the
organization, but also in the formal and informal procedures
that are put into place for the purpose of retrieving, analyz-
ing, storing, and transmitting information. Additionally, the
organization’s efficacious use of information is evident in
the capacity utilization of its information tools. Since a large
portion of an organization’s function involves sharing and
processing of information, efficiencies achieved through the
processing and distribution of information are reflected in
corporate performance quickly and significantly. See
DeFosse and Barr [81] for an example of the extraordinary
gains that are achievable through electronic data inter-
change. Other examples of the striking impact of automated
information sharing on time-to-market are related by Millen
[82] and Skibinski [83].
An additional way in which information technology can
affect NPD speed involves the use of technology for the
collection and analysis of customer survey data and other
marketing data that can be used to modify products ‘on the
fly’ during the development process. Many organizations
combine market data with the results of computer-simulated
market analysis to determine feasibility in what could be
considered an even higher level of technological involve-
ment in information processing [76]. Having feedback from
customers on proposed features and information about the
sales potential of different designs enables organizations to
avoid expensive and time-consuming design changes at later
stages of the product development process.
Proposition 5: Process technology investment is related
positively to NPD speed.
Proposition 6: Information technology investment is
related positively to NPD speed.
All antecedent variables discussed in the preceding
sections are related to the infrastructural makeup of an
organization. In contrast, the effect of the second set of
variables on NPD speed pertains to procedural or opera-
tional particulars. These are related to programmatic actions,
planning, and endeavor undertaken by the organization on a
regular basis and involve norms and regulations enforced by
administrative leaders. In the next sections, we discuss the
following procedural variables in our framework: group-
work, controls, and incentives.
2.1.4. Groupwork
Blackburn [84] argues that in a traditional sequential
approach towards project operations in general, and new
product design in particular, groupwork is unimportant.
However, for the purpose of reducing NPD time, groupwork
is indispensable, especially teamwork. Team-building is
required for the purpose of reducing ‘functional parochi-
alism’, communication overhead, and rework cycles and
catching design errors early in the cycle. Honeywell adopted
a team-building approach as a part of an experimental
program and succeeded in reducing average development
time from 38 months in 1983 to 14 months in 1988 [85].
Literature on workforce management concurs on the
beneficial effects of team-building [18,86–90]. Some of
the significant reasons for the increased efficacy of team-
work lie in the synergy achieved and the broad range of
perspectives that become available. It is critical that the
work teams involve groups of individuals from different
functional areas. Multifunctional teams promote sharing of
expertise and perspectives, encourage information flow, and
foster cooperative behavior between functional units
[16,91–96].
A related technique of workforce management involves
the delegation of authority to work teams. The efficacy of
empowering employees has overwhelming support in a long
line of research in organizational behavior and social
psychology. The outcomes of empowerment programs are
unequivocal and impressive. Conceptual analyses [97–
101], laboratory experiments [102–105], field studies
[106,107], case analyses [108–110], and research reviews
[111–114] involving a multitude of work settings have
repeatedly confirmed that when employees are accorded a
sense of control over their work environment, productivity
improves significantly. In a far-reaching effort to implement
the action-team concept in the Occupational Health and
Safety Division of 3M, top managers learned that the
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328 321
![Page 6: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/6.jpg)
success of teams requires genuine commitment of top
management and the dedication and professionalism of team
leaders and members [115].
Empowering a work team to quantify its own goals
motivates members to be more committed to those goals
than they would be if goals were simply decreed by a senior
executive. Meyer [48] recommends that managers be will-
ing to relinquish some power so that employees can use and
act on information traditionally reserved for managers.
However, industry surveys suggest that only 7% of com-
panies allow teams to make decisions on compensation
issues and less than 20% of teams have the power to do
performance appraisals. In terms of operating decisions,
only 6% of self-directed work teams have full responsibility
for preparing and managing their own budgets, and only
29% have the authority to set their own goals [18]. Despite
the fact that 26% of organizations surveyed were experi-
menting with the concept of empowered employee teams,
many organizations had not given these teams the informa-
tion and authority necessary to be effective. Yet, evidence
suggests that the effectiveness of empowered work teams is
beginning to be recognized by modern corporations. Gen-
eral Electric found that a combination of empowered teams,
flexible automation, and computerized systems resulted in a
250% increase in productivity [86]. Similarly, instead of
channeling decisions through sluggish bureaucracies, Four-
Gen Technologies empowers its software engineers through
a process called ‘down streaming’. Those employees are
placed directly ‘downstream’ of their own decisions — they
constantly interact with the company’s sales teams and
customers. Further, they have ultimate responsibility for
making appropriate product revisions. Empowering a team
to make broad decisions gives its members a sense of
ownership, which in turn results in improved performance
[116,117]. In a study of management in NPD units, it was
found that the ‘empowering manager’ is able to create an
innovative climate most successfully [118].
The effectiveness of empowerment is linked inextricably
to an ongoing commitment to training, which plays a key
role in the transfer of decision-making skills from managers
to employees. At Aid Association for Lutherans Insurance,
within the first year of a 2-year leadership program, overall
productivity increased by 20% and claim-processing time
decreased by 75% [88]. Motorola spent US$120 million
(3.6% of payroll) on training in 1992 and reportedly
received an estimated US$30 in productivity gains for every
dollar spent on training [119]. Productivity increases enable
organizations to speed operations because errors and rework
are minimized. Consequently, new products are developed
faster, reducing time-to-market.
In sum, work teams are considerably more effective than
individuals working in isolation because of the synergy they
achieve. Also, teams are most effective when they are
composed of individuals whose membership in the group
minimizes redundancy. Redundancy is minimized and the
content and diversity of group knowledge are maximized
when the groups are chosen from assorted functional areas
rather than from a single department.
Proposition 7: Team-building is related positively to
NPD speed.
Proposition 8: Empowerment is related positively to
NPD speed.
2.1.5. Controls
Managers must have a system for control of the workforce
engaged in the NPD process and must provide incentives to
maintain a ‘speed-conscious’ environment. A system of
control is a ‘‘process that allows senior management to
determine whether a business unit is performing satisfact-
orily, and which provides motivation for business unit man-
agement to see that it continues to do so’’ [120, p. 43]. The
process of establishing controls necessarily includes the
creation of incentives to guide employee actions.
Organizations attempting to expedite the NPD process
must ensure that managerial controls are balanced with
employees’ need for autonomy because independence from
tight management control is linked to successful innovation
[121]. The proper use of controls helps managers to achieve
this balance by aligning individual efforts with organiza-
tional goals. For example, design engineers must balance
the creative process of developing ‘blue sky’ products and
technologies with diverse organizational needs.
Financial controls, the most common and easily identifi-
able controls in an organization, usually are based on
budgetary measures, including return on investment, pro-
ductivity, cost per unit, and payback period. However,
traditional financial controls may be too short-term in scope
to be useful for achieving time-to-market objectives. Bud-
getary controls typically emphasize the coming 12 months
at the expense of long-term objectives and the company’s
competitive position [122]. Further, overreliance on fin-
ancial controls can create imbalances between control and
autonomy. Tight financial controls dampen employees’
enthusiasm about accepting calculated risks, thus stifling
invention and innovation in the NPD process [121]. For
example, when managers overmonitor total development
costs, product designers often become reluctant to include
cross-functional perspectives and delays in introduction of
product lines often ensue.
Proposition 9: Financial control is related negatively to
NPD speed.
Two types of organizational controls, formal and infor-
mal, are also relevant [123]. Because these control types
involve nonfinancial measurements of progress towards
long-term objectives, they are effective for achieving time-
to-market goals. Formal controls are ‘‘written, management-
initiated mechanisms that influence the probability that
employees or groups will behave in ways that support the
stated marketing objective’’ [123, p. 126]. Many organiza-
tions use periodic strategy reviews and annual operating
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328322
![Page 7: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/7.jpg)
plans to formally control progress towards strategic objec-
tives [122]. In periodic strategy reviews, businesses outline
specific nonfinancial objectives that identify desired com-
petitive positions, and then evaluate progress towards those
objectives. By actively encouraging managers to evaluate
progress in getting products to market faster than compet-
itors, the periodic strategy review provides a good measure
of the organization’s ability to use time-to-market as a
competitive instrument. It also forces managers to stay
focused on the objective of speed and monitors relative
progress made towards that objective.
Informal controls are ‘‘unwritten, typically worker-ini-
tiated mechanisms that influence the behavior of individuals
or groups in marketing units’’ [124, p. 408]. These types of
controls can be partitioned further into professional controls
— mechanisms affecting employee behavior that arise
through the influence of peer relationships, and self-controls
— mechanisms that are internal to the individual. Profes-
sional influences may be overt (such as verbal pressure to
conform to acceptable behavior) or subtle (such as respect
towards peers who exhibit desirable behavior). The assump-
tion is that productive behavior encouraged through peer
relationships results in positive outcomes for the organiza-
tion. Because speeding up product development requires a
high degree of cooperation among employees and depart-
ments, organizations in which peers encourage communica-
tion, sharing of best practices, teamwork, and goal-setting
should be the most productive and best equipped to cut
time-to-market (however, we acknowledge that in some
dysfunctional organizations, employees use professional
controls to limit such positive behavior as hard work,
dedication, and teamwork by socially ostracizing peers
who exhibit those qualities).
Proposition 10: Organizational control is related pos-
itively to NPD speed.
2.1.6. Incentives
Incentives could be meaningfully categorized as financial
controls. However, they are separate in our framework,
primarily because of their theoretical significance for the
level of employee motivation and productivity necessary to
realize short NPD cycles. Incentives are contingent rewards
that are used to attain optimal levels of employee motivation
and productivity as well as to promote employee compli-
ance with behavioral norms that are desirable from the
perspective of the organization. Incentives to speed products
to market can take many different forms. We classify these
contingent rewards into two broad categories as personal
and group incentives.
Traditionally, managerial efforts to motivate employees
to achieve organizationally desired behavior have consisted
of providing incentives to individual employees. Personal
incentive systems include base pay and merit pay structures
as well as promotion procedures that reward individual skill
levels, performance, and contribution [125]. However, when
fast NPD is an objective, rewarding individual performance
may create conflicts between organizational goals and
employee motivation. The process of speeding products to
market necessitates cooperation and communication
between people and departments, resulting in organiza-
tion-wide coordination of efforts. In such scenarios, indi-
vidual incentives may encourage individuals to perform well
at the expense of the rest of the organization. For example, a
department manager might be rewarded when the depart-
ment makes a speedy contribution to a new product, even
though the final product is slow to reach the market. The
ensuing message could be, ‘‘Do your own thing and don’t
worry about the organization’’ [125, p. 155]. Group incen-
tives (rewards to individuals based on group performance)
are likely to be much more effective in such cases. However,
as Doyle advises [125], incentives must be tied to overall
strategic goals rather than localized departmental goals.
Even if a single department makes a significant contribution
to quick NPD, a portion of the reward should be withheld
unless the product actually reaches the market quickly. If
departments are rewarded for making an expeditious con-
tribution even when the product does not reach the market
quickly, employees may learn to think in terms of local
departmental needs. Because product development requires
cross-functional cooperation, managers ought to align the
strategic goals related to speed with incentives that encour-
age interdepartmental cooperation [126].
The success of work teams has led to an incentive system
known as ‘team-based pay’ whereby team members receive
40% to 50% more pay for learning all aspects of the work of
every other team member. The ability of team members to
perform each other’s job enables the team as a whole to be
more productive. Instead of one member acting and then
another member reacting, the team as a whole moves
together. Although it may not be practical for each member
of an NPD team to master the jobs of all other members,
they can be encouraged to acquire knowledge of all mem-
bers’ roles. For example, rewarding the entire development
team for streamlining design changes is likely to speed the
process of development at every functional stage. Another
incentive program that operates in a comparable way is
known as gain sharing. Tying individual bonuses to overall
organizational measures (such as profit) reinforces cooper-
ative behavior among employees. Because interdepart-
mental cooperation is necessary to speed products to
market, gain-sharing holds promise for fast NPD [112,125].
Proposition 11: Team-based incentive systems are
related positively to NPD speed.
Proposition 12: Gain-sharing incentive systems are
related positively to NPD speed.
2.2. Outcomes of NPD speed
Reflecting upon Northern Telecom’s business strategy,
Merrills [127, p. 108] notes, ‘‘. . . all the things that were
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328 323
![Page 8: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/8.jpg)
vital to our long-term competitiveness had one thing in
common: time.’’ Practitioners and business scholars have
chronicled the favorable effects of a short NPD cycle on
corporate performance in diverse industrial settings. The
most compelling argument in favor of adopting a speed
orientation is that it contributes significantly to overall
corporate performance. Specifically, we propose that a short
NPD cycle contributes to increased revenue and profitability
as well as enhanced corporate and brand image.
A 1983 McKinsey report on time-to-market and profit-
ability has left a strong impression on the minds of many
business scholars and practitioners [2,12,128–131]. In
particular, it showed that new products that are completed
within the originally estimated time but are as much as
50% over budget sacrifice only 3% to 4% in profits. In
contrast, products that meet budgetary targets but are 6
months late in shipping to market forfeit about 33% in
profits. The assumptions about market growth, price appre-
ciation rates, and effects of competitive activity embodied
in this model are representative of real-world product-
market configurations. In many contemporary product
markets (e.g., consumer electronics, high technology, fash-
ion wear, and financial products), the costs of falling behind
result in severe impairment for the company [132–134].
The damaging effects of lost sales on account of delayed
shipment to market are overcome only rarely through a
superior product.
Some of the benefits of a short NPD cycle are related to
the first-mover advantage [13,14]. Meyer [2] lists a number
of competitive advantages, including higher margins,
increased market share, establishing industry standards,
and locking up distribution channels. Nonetheless, many
of the key benefits of a short cycle time are located within
the organization. They are associated with higher levels of
profitability because the procedures and programs required
for achieving short NPD cycles also reduce overheads and
boost productivity. A short cycle time affords more ‘‘learn-
ing loops’’ [2, p. 31]. That is, organizations that adopt time-
to-market goals learn faster than their competitors since they
have more opportunities to complete the full business cycle
associated with the product. Additionally, in contrast with
programs such as total quality control, adoption of a speed
orientation involves measures that are easily communicated
and widely understood. Short NPD cycles are necessarily
associated with lower levels of inventory and working
capital. Finally, Meyer argues that quick turnaround times
provide all levels of organizational participants with fre-
quent positive feedback and aid in motivating the entire
company. Literature on the motivational effects of outcome
feedback corroborates this viewpoint [135–140]. Addition-
ally, a speed orientation necessarily involves the adoption of
performance goals and schedules. Research in organiza-
tional behavior provides strong evidence in favor of the
notion that adoption of performance goals improves
employee productivity [141,142]. Finally, empirical investi-
gations show that when goal-setting and feedback are used
simultaneously, they have a synergistic effect on perform-
ance and productivity [143,144].
Proposition 13: NPD speed is related positively to
revenue and profitability.
Companies that display ability for achieving consis-
tently short NPD cycles are also likely to be perceived in
a positive light by the consumer market in general. Being
able to launch a new product concept ahead of compet-
itors will often bring accolades and regard to the compa-
ny’s corporate image. Such attributions of efficiency and
excellence can and do extend to the company’s brands as
well. A part of the image of Honda may be attributed to
the pace at which they are able to introduce new
technology and designs. During the 1980s, the Japanese
automakers, on average, completed an NPD project in
little over half the time required by the top three
American automakers [145]. Stars of consumer electronics
such as Sony, Canon, Nikon, Toshiba, Hitachi, and
Matsushita have consistently delivered a bewildering array
of novel and contemporary product forms and designs. A
significant part of the admiration and esteem enjoyed by
these imposing brand names stems from the speed with
which they update their product lines.
Abell and Hammond [146] suggest that market pioneers
benefit from early entry and can often afford to provide a
superior product at a price that is lower than competitors’
prices. Such preeminence often translates into favorable
images [147]. Alpert and Kamins [148] suggest that a
number of psychological processes and decision-making
factors are affected by consumers’ interaction with the
products and brands offered by market pioneers. They
propose that pioneering brands, under many circumstances,
tend to be associated with the image and reputation of a
leader. Consumers tend to integrate such product and brand
images with their self-concept and that, in turn, enhances the
competitive advantage enjoyed by pioneers.
Proposition 14: NPD speed is related positively to
corporate image and brand image.
3. Conclusion
Effective management of NPD speed is a matter of
strategic significance that has repercussions for an organ-
ization’s financial performance and competitive position.
Building on evidence from academic research and business
experience, we make that point and develop an interdiscip-
linary theoretical framework to focus future research on the
topical area.
In closing, we note that working smarter as opposed to
working harder (cf. Ref. [159]) is a useful mindset for NPD
speed (cf. Refs. [149–158]). Accordingly, change, flexibil-
ity, dynamism, cooperation, invention, innovation, and
information utilization should be embraced — all of which
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328324
![Page 9: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/9.jpg)
are potential aspects of a learning orientation. Indeed, many
of the prescriptions of the speed paradigm could be con-
sidered integral to an organizational orientation towards
learning [160–162]. The relationship between a speed
orientation and a disposition towards organizational learning
is a particularly interesting issue that warrants research
consideration in the future.
References
[1] Blackburn JD. The time factor. In: Blackburn JD, editor. Time-based
competition: the next battleground in American manufacturing.
Homewood (IL): Business One Irwin, 1991. pp. 3–23.
[2] Meyer C. Fast cycle time: how to align purpose, strategy, and struc-
ture for speed. New York: Free Press, 1993.
[3] Stalk G. Time: the next source of competitive advantage. Harv Bus
Rev 1988;66(4):41–51 (July–August).
[4] Stalk G, Hout TM. Competing against time: how time-based com-
petition is reshaping global markets. New York: Free Press, 1990.
[5] Thomas PR. Competitiveness through total cycle time: an overview
for CEOs. New York: McGraw-Hill, 1990.
[6] Hall D, Jackson J. Speeding up new product development. Manage
Accoun 1992;74(4):32–6.
[7] Hammer M. Reengineering work: don’t automate, obliterate. Harv
Bus Rev 1990;68(4):104–12 (July–August).
[8] Hammer M, Champy J. Reengineering the corporation: a manifesto
for business revolution. 1st ed. New York: Harper Business, 1993.
[9] Holder RJ, McKinney RN. Time in the new workplace. J Qual
Participation 1992;15(6):30–8.
[10] Rochford L, Rudelius W. How involving more functional areas with-
in a firm affects the new product process. J Prod Innovation Manage
1992;9(4):287–99.
[11] Stalk G, Webber AM. Japan’s dark side of time. Harv Bus Rev
1993;71(4):93–102 (July–August).
[12] Dumaine B. How managers can succeed through speed. Fortune
1989;119(4):54–9.
[13] Robinson WT. Sources of market pioneer advantages: the case of
industrial goods industries. JMark Res 1988;25(1):87–94 (February).
[14] Robinson WT, Fornell C. Sources of market pioneer advantages in
consumer goods industries. J Mark Res 1985;42:305–17 (August).
[15] Henderson BW. CAD/CAM systems transform aerospace engineer-
ing. Aviat Week Space Technol 1992;136(25):49–51.
[16] DeMeyer A, Ferdows K. Removing the barriers in manufacturing:
the 1990 European manufacturing futures survey. Eur Manage J
1991;9(1):22–9.
[17] Bower JL, Hout TM. Fast-cycle capability for competitive power.
Harv Bus Rev 1988;66(6):110–8 (November–December).
[18] Verespej MA. When you put the team in charge. Ind Week 1990;
239(23):30–2.
[19] Dalton DR, Todor WD, Spendolini MJ, Fielding GJ, Porter LW.
Organization structure and performance: a critical review. Acad
Manage Rev 1980;5(1):49–64.
[20] Ouchi WG. The relationship between organizational structure and
organizational control. Adm Sci Q 1977;22(1):95–113.
[21] Anthony R. The management control function. Boston: Harvard
Business Press, 1988.
[22] Miller A. A taxonomy of technological settings, with related strat-
egies and performance levels. Strategic Manage J 1988;9: 239–54.
[23] Charan R. How networks reshape organizations — for results. Harv
Bus Rev 1991;69(5):104–15 (September–October).
[24] Govindarajan V. Decentralization, strategy, and effectiveness of stra-
tegic business units in multibusiness organizations. Acad Manage
Rev 1986;11(4):844–56.
[25] Ruekert RW, Walker OC. Interactions between marketing and R&D
departments in implementing different business strategies. Strategic
Manage J 1987;8(3):233–48.
[26] Souder WE. Managing relations between R&D and marketing in
new product development projects. J Prod Innovation Manage
1988;5:6–19.
[27] Griffin A, Hauser JR. Patterns of communication among marketing,
engineering and manufacturing — a comparison between two new
product teams. Manage Sci 1992;38(3):360–73.
[28] Gupta AK, Raj SP, Wilemon D. A model for studying R&D —
marketing interface in the product innovation process. J Mark
1986;50(2):7–17.
[29] Kohli AK, Jaworski BJ. Market orientation: the construct, research
propositions, and managerial implications. J Mark 1990;54(2):1–18.
[30] Ruekert RW, Walker OC. Marketing’s interaction with other func-
tional units: a conceptual framework and empirical evidence. J Mark
1987;51(1):1–19.
[31] Wind Y, Robertson RS. Marketing strategy: new directions for theory
and research. J Mark 1983;47:12–25.
[32] Deshpande R, Zaltman G. A comparison of factors affecting re-
searcher and manager perceptions of market research use. J Mark
Res 1984;21(1):32–8 (February).
[33] Menon A, Varadarajan PR. A model of marketing knowledge use
within firms. J Mark 1992;56(4):53–71.
[34] Kharbanda M. Xerox Corporation: a case study in revitalizing prod-
uct development. In: Blackburn JD, editor. Time-based competition:
the next battleground in American manufacturing. Homewood (IL):
Business One Irwin, 1991. pp. 177–90.
[35] Hall RH, Haas JE, Johnson NJ. Organizational size, complexity, and
formalization. Am Sociol Rev 1967;32:903–11.
[36] Aiken M, Hage G. Organizational independence and intra-organiza-
tional structure. Am Sociol Rev 1968;33:912–30.
[37] Kanungo RN. The concept of alienation and involvement revisited.
Psychol Bull 1979;86(1):119–38.
[38] Rizzo JR, House RJ, Lirtzman SI. Role conflict and ambiguity in
complex organizations. Adm Sci Q 1970;15(2):150–63.
[39] Organ DW, Greene CN. The effects of formalization on professional
involvement: a compensatory process approach. Adm Sci Q 1981;
26(2):237–52.
[40] Kahn RL, Wolfe DM, Quinn RP, Snoek JD, Rosenthal RA. Organ-
izational stress. New York: Wiley, 1964.
[41] Fry LW, Slocum JW. Technology, structure, workgroup effectiveness:
a test of a contingency model. Acad Manage J 1984;27(2): 221–46.
[42] Hall RH. Organizations: structure and process. 2nd ed. Englewood
Cliffs (NJ): Prentice-Hall, 1977.
[43] Fredrickson JW. The strategic decision process and organizational
structure. Acad Manage Rev 1986;11(2):280–97.
[44] Bartlett CA, Ghoshal S. Matrix management: not a structure, a frame
of mind. Harv Bus Rev 1990;68(4):138–45 (July–August).
[45] Deshpande R, Zaltman G. Factors affecting the use of marketing
research information: a path analysis. J Mark Res 1982; 19:14–
31 (February).
[46] Zaltman G, Duncan R, Holbek J. Innovation and organizations. New
York: Wiley, 1973.
[47] Galbraith JR, Nathanson DA. Strategy implementation: the role of
structure and process. St. Paul: West Publishing, 1978.
[48] Meyer C. How the right measures help team excel. Harv Bus Rev
1994;72(3):95–103 (May–June).
[49] Quinn JB. Managing innovation: controlled chaos. Harv Bus Rev
1985;63(3):73–84 (May–June).
[50] Peters T. Rethinking scale. Calif Manage Rev 1992;35(1):7–29.
[51] Geroski P. On diversity and scale: extant firms and extinct goods?
Sloan Manage Rev 1989;31:75–83 (Fall).
[52] Porter M. Europe’s companies after 1992: don’t collaborate, com-
pete. Economist 1990;315(7658):17–9 (9 June).
[53] Thwaites D. Organizational influences on the new product develop-
ment process in financial services. J Prod Innovation Manage
1992;9(4):303–13.
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328 325
![Page 10: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/10.jpg)
[54] Peters T. Time-obsessed competition. Manage Rev 1990;79(9):
16–20.
[55] Deal TE, Kennedy AE. Corporate culture. Reading (MA): Addison-
Wesley Publishing, 1982.
[56] Kotter JP, Heskett JL. Corporate culture and performance. New
York: Free Press, 1992.
[57] Deshpande R, Webster FE. Organizational culture and marketing:
defining the research agenda. J Mark 1989;53(1):3–15.
[58] Hatch MJ. The dynamics of organizational culture. Acad Manage
Rev 1993;18(4):657–93.
[59] Schein EH. Organizational culture and leadership. 1st ed. San Fran-
cisco: Jossey-Bass, 1985.
[60] Webster FE. The changing role of marketing in the corporation. J
Mark 1992;56(4):1–17.
[61] Chatman JA, Jehn KA. Assessing the relationship between industry
characteristics and organizational culture: how different can you be?
Acad Manage J 1994;37(3):522–53.
[62] Jaworski BJ, Kohli AK. Market orientation: antecedents and conse-
quences. J Mark 1993;57(3):53–70.
[63] Rapp S, Collins TL. Beyond maximarketing: the new power of car-
ing and daring. New York: McGraw-Hill, 1994.
[64] Louis MR. Surprise and sense making: what newcomers experience
in entering unfamiliar organizational settings. Adm Sci Q 1980;
25:226–51.
[65] Van Maanen J, Schein EH. Toward a theory of organizational social-
ization. In: Staw BM, editor. Research in organizational behavior,
vol. 1. Greenwich (CT): JAI Press, 1979. pp. 209–64.
[66] Deshpande R, Farley JU, Webster FE. Corporate culture, customer
orientation, innovativeness in Japanese firms: a quadrad analysis. J
Mark 1993;57(1):23–37.
[67] Takeuchi H, Nonaka I. The new new product development game.
Harv Bus Rev 1986;64(1):137–46 (January–February).
[68] Starr MK. Accelerating innovation. Bus Horiz 1992;35(4):44–51.
[69] Nutt PC. Decision style and strategic decision of top executives.
Technol Forecast Soc Change 1986;30:39–62.
[70] MacCrimmon KR, Wehrung DA. Taking risks: the management of
uncertainty. New York: Free Press, 1986.
[71] Douglas M, Wildavsky AB. Risk and culture: an essay on the selec-
tion of technical and environmental dangers. Berkeley: University of
California Press, 1982.
[72] Gaertner KN. Managers’ careers and organizational change. Acad
Manage Exec 1988;2(4):311–8.
[73] Grey RJ, Gordon GG. Risk taking managers: who gets the top jobs?
Manage Rev 1978;67(11):8–13.
[74] Wildavsky AB. Searching for safety. New Brunswick (NJ): Trans-
action Books, 1988.
[75] Sitkin SB, Pablo AL. Reconceptualizing the determinants of risk
behavior. Acad Manage Rev 1992;17(1):9–38.
[76] Cordero R. Managing for speed to avoid product obsolescence: a
survey of techniques. J Prod Innovation Manage 1991;8(4):283–94.
[77] Turino J. Concurrent engineering speeds development time, lowers
costs. EDN 1992;37(10):191–5.
[78] Gehani RR. Concurrent product development for fast-track corpora-
tions. Long Range Plann 1992;25(6):40–7.
[79] Norman VB. Future directions in manufacturing simulation. Ind Eng
1992;24(7):36–7.
[80] Yeich CR. Manufacturing simulation. Automot Ind 1992;172(10):95.
[81] DeFosse SF, Barr TD. Implementing EDI/EGI will reduce time to
market. Ind Eng 1992;24(8):30–1.
[82] Millen R. Time-based logistics. In: Blackburn JD, editor. Time-based
competition: the next battleground in American manufacturing.
Homewood (IL): Business One Irwin, 1991. pp. 211–25.
[83] Skibinski J. Automated information-sharing cuts time-to-market.
Manuf Syst 1992;10(5):60–4.
[84] Blackburn JD. New-product development: the new time wars. In:
Blackburn JD, editor. Time-based competition: the next battleground
in American manufacturing. Homewood (IL): Business One Irwin,
1991. pp. 121–63.
[85] Bailey J. Honeywell’s team approach to new-product development.
In: Blackburn JD, editor. Time-based competition: the next battle-
ground in American manufacturing. Homewood (IL): Business One
Irwin, 1991. pp. 164–76.
[86] Schilder J. Work teams boost productivity. Pers J 1992;71(2):67–71.
[87] Turino J. Making it work calls for input from everyone. IEEE Spec-
trum 1991;28(7):30–2.
[88] Austin NK. Making teamwork work. Work Woman 1993;18(1):28
and 80.
[89] Baskerville DM. Why business loves workteams. Black Enterp
1993;23(9):85–90.
[90] Fisher MS. Work teams: a case study. Pers J 1981;60(1):42–5.
[91] Trygg L. Concurrent engineering practices in selected Swedish com-
panies: a movement or an activity of the few? J Prod Innovation
Manage 1993;10(5):403–15.
[92] Cooper RG, Kleinschmidt EJ. Determinants of timeliness in product
development. J Prod Innovation Manage 1994;11(5):381–96.
[93] Moenaert RK, Souder WE, De Meyer A, Deschoolmeester D. R&D
— marketing integration mechanisms, communication flows, and
innovation success. J Prod Innovation Manage 1994; 11(1):31–45.
[94] Rothwell R, Whiston TG. Design, innovation and corporate integra-
tion. R&D Manage 1990;20(3):193–201.
[95] Moenaert RK, Souder WE. An information transfer model for inte-
grating marketing and R&D personnel in new product development
projects. J Prod Innovation Manage 1990;7(2):91–107.
[96] Henke JW, Krachenberg AR, Lyons TF. Perspective: cross-functional
teams: good concept, poor implementation! J Prod Innovation Man-
age 1993;10(3):216–29.
[97] Russo CL. Productivity overview: recognizing the human dimension.
ReVISION 1984–1985;7(2):68–73.
[98] Sashkin M. Participative management is an ethical imperative. Organ
Dyn 1984;12(4):5–22.
[99] Scanlan BK, Atherton RM. Participation and the effective use of
authority. Pers J 1981;60(9):697–703.
[100] Belcher JR, DiBlasio FA. Economic decline and worker participa-
tion. J Appl Soc Sci 1993;17(2):207–19.
[101] Chaney FB. Employee participation in manufacturing job design.
Hum Factors 1969;11(2):101–5.
[102] Bandura A, Wood R. Effect of perceived controllability and perform-
ance standards on self-regulation of complex decision making. J Pers
Soc Psychol 1989;56(5):805–14.
[103] Wood R, Bandura A. Impact of conceptions of ability on self-regu-
latory mechanisms and complex decision making. J Pers Soc Psychol
1989;56(3):407–15.
[104] Erez M, Earley PC, Hulin CL. The impact of participation on goal
acceptance and performance: a two-step model. Acad Manage J
1985;28(1):50–66.
[105] Neider LL. An experimental field investigation utilizing an expect-
ancy theory view of participation. Organ Behav Hum Perform
1980;26(3):425–42.
[106] Jacobson JW, Ackerman LJ. Factors associated with staff tenure in
group homes serving people with developmental disabilities. Adult
Resid Care J 1992;6(1):45–60.
[107] Larson JS. Employee participation in federal management. Public
Pers Manage 1989;18(4):404–14.
[108] Rabkin MT, Avakian L. Participatory management at Boston’s Beth
Israel Hospital. Acad Med 1992;67(5):289–94.
[109] Sharp WL, Childs SJ. Site-based management: practice, not theory.
High Sch J 1992;76(1):78–80.
[110] Witham DC, Glover JD. Recapturing commitment. Train Dev J
1987;41(4):42–5.
[111] Locke EA, Latham GP, Erez M. The determinants of goal commit-
ment. Acad Manage Rev 1988;13(1):23–39.
[112] Gowen CR, Jennings SA. The effects of changes in participation and
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328326
![Page 11: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/11.jpg)
group size on gainsharing success: a case study. J Organ Behav
Manage 1990;11(2):147–69.
[113] Cotton JL, Vollrath DA, Froggatt KL, Lengnick-Hall ML, Jennings
KR. Employee participation: diverse forms and different outcomes.
Acad Manage Rev 1988;13(1):8–22.
[114] Mabert VA, Muth JF, Schmenner RW. Collapsing new product de-
velopment times: six case studies. J Prod Innovation Manage 1992;
9(3):200–12.
[115] Hershock RJ, Cowman CD, Peters D. From experience: action teams
that work. J Prod Innovation Manage 1994;11(2):95–104.
[116] McCune JC. More power to them. Small Bus Rep 1992;17(11):51–9.
[117] Donnellon A. Crossfunctional teams in product development: ac-
commodating the structure to the process. J Prod Innovation Manage
1993;10(5):377–92.
[118] Frischer J. Empowering management in new product development
units. J Prod Innovation Manage 1993;10(5):393–401.
[119] Henkoff R. Companies that train best. Fortune 1993;127(6):62–75.
[120] Goold M, Quinn JJ. The paradox of strategic controls. Strategic
Manage J 1988;11(1):43–57.
[121] Feldman SP. The broken wheel: the inseparability of autonomy and
control in innovation within organizations. J Manage Stud 1989;
26(2):83–102.
[122] Goold M. Strategic control in the decentralized firm. Sloan Manage
Rev 1991;32(2):69–81 (Winter).
[123] Jaworski BJ. Toward a theory of marketing control: environmental
context, control types, consequences. J Mark 1988;52(3):23–39.
[124] Jaworski BJ, MacInnis DJ. Marketing jobs and management controls:
toward a framework. J Mark Res 1989; 26(4):406–19 (November).
[125] Doyle RJ. Caution: self-directed work teams. HR Mag 1992;
37(6):153–5.
[126] Anthony MT, McKay J. From experience: balancing the product
development process: achieving product and cycle-time excellence
in high-technology industries. J Prod Innovation Manage 1992;
9(2):140–7.
[127] Merrills R. How Northern Telecom competes on time. Harv Bus Rev
1989;67(4):108–14 (July–August).
[128] Hamilton S. New-product development and manufacturing compet-
itiveness: a Hewlett-Packard perspective. In: Blackburn JD, editor.
Time-based competition: the next battleground in American manu-
facturing. Homewood (IL): Business One Irwin, 1991. pp. 191–208.
[129] Karagozoglu N, Brown WB. Time-based management of the new
product development process. J Prod Innovation Manage 1993;
10(3):204–15.
[130] Vesey JT. The new competitors think in terms of ‘speed-to-market’.
SAM Adv Manage J 1991;56(4):26–33.
[131] Vesey JT. Time-to-market: put speed in product development. Ind
Mark Manage 1992;21(2):151–8.
[132] Blackburn JD. Just-in-time: the genesis of time compression. In:
Blackburn JD, editor. Time-based competition: the next battleground
in American manufacturing. Homewood (IL): Business One Irwin,
1991. pp. 24–66.
[133] Stalk G. The strategic value of time. In: Blackburn JD, editor. Time-
based competition: the next battleground in American manufactur-
ing. Homewood (IL): Business One Irwin, 1991. pp. 67–101.
[134] Labovitz GH. Speed on the cycle helps companies win the race. Wall
St J (30 October, p. 10, Sec 1, Col 3).
[135] Bandura A, Schunk DH. Cultivating competence, self-efficacy, in-
trinsic interest through proximal self-motivation. J Pers Soc Psychol
1981;41(3):586–98.
[136] Conlon EJ. Feedback about personal and organizational outcomes
and its effect on persistence of planned behavioral changes. Acad
Manage J 1980;23(2):267–86.
[137] Jaworski BJ, Kohli AK. Supervisory feedback: alternative types and
their impact on salespeople’s performance and satisfaction. J Mark
Res 1991;28(2):190–201 (May).
[138] Karan BS, Kopelman RE. The effects of objective feedback on ve-
hicular and industrial accidents: a field experiment using outcome
feedback. J Organ Behav Manage 1986;8(1):45–56.
[139] Kim JS. Effect of behavior plus outcome goal setting and feedback
on employee satisfaction and performance. Acad Manage J 1984;
27(1):139–49.
[140] Kleinmuntz DN, Thomas JB. The value of action and inference in
dynamic decision making. Organ Behav Hum Decis Processes 1987;
39(3):341–64.
[141] Locke EA, Shaw KN, Saari LM, Latham GP. Goal setting and task
performance: 1969–1980. Psychol Bull 1981;90(1):125–52.
[142] Locke EA, Latham GP. Goal setting: a motivational technology that
works! Englewood Cliffs (NJ): Prentice-Hall, 1984.
[143] Earley PC, Northcraft GB, Lee C, Lituchy TR. Impact of process and
outcome feedback on the relation of goal setting to task performance.
Acad Manage J 1990;33(1):87–105.
[144] Ivancevich JM, McMahon JT. The effects of goal setting, external
feedback, self-generated feedback on outcome variables: a field ex-
periment. Acad Manage J 1982;25(2):359–72.
[145] Clark KB. Project scope and project performance: the effect of parts
strategy and supplier involvement on product development. Manage
Sci 1989;35(10):1247–63.
[146] Abell DF, Hammond JS. Strategic market planning. Englewood
Cliffs (NJ): Prentice-Hall, 1979.
[147] Porter ME. Competitive strategy. New York: Free Press, 1980.
[148] Alpert FH, Kamins MA. Pioneer brand advantage: a conceptual
framework and propositional inventory. J Acad Mark Sci 1994;
22(3):244–53.
[149] Hume F. Creating landmark products. Mach Des 1993;65(12):100.
[150] Crawford CM. The hidden costs of accelerated product development.
J Prod Innovation Manage 1992;9(3):188–99.
[151] Devinney TM. New products and financial risk changes. J Prod
Innovation Manage 1992;9(3):222–31.
[152] Chowdhury J. The motivational impact of sales quotas on effort. J
Mark Res 1993;30(1):28–41 (February).
[153] Garland H. Relation of effort-performance expectancy to perform-
ance in goal-setting experiments. J Appl Psychol 1984;69(1):79–84.
[154] Mento AJ, Cartledge ND, Locke EA. Maryland vs. Michigan vs.
Minnesota: another look at the relationship of expectancy and goal
difficulty to task performance. Organ Behav Hum Perform 1980;
25:419–40.
[155] Motowidlo SJ, Loehr V, Dunnette MD. A laboratory study of the
effects of goal specificity on the relationship between probability of
success and performance. J Appl Psychol 1978;63(2):172–9.
[156] Amabile TM. Effects of external evaluation on artistic creativity. J
Pers Soc Psychol 1979;37(2):221–33.
[157] Amabile TM, Goldfarb P, Brackfield SC. Social influences on crea-
tivity: evaluation, coaction, surveillance, creativity. Res J 1990;
3(1):6–21.
[158] Woodman RW, Sawyer JE, Griffin RW. Toward a theory of organiza-
tional creativity. Acad Manage Rev 1993;18(2):293–321.
[159] Sujan H, Weitz BA, Kumar N. Learning orientation, working smart,
effective selling. J Mark 1994;58(3):39–52.
[160] Kofman F, Senge PM. Communities of commitment: the heart of
learning organizations. Organ Dyn 1993;22(2):5–23.
[161] Senge PM. The fifth discipline: the art and practice of the learning
organization. New York: Doubleday/Currency, 1990.
[162] McKee D. An organizational learning approach to product innova-
tion. J Prod Innovation Manage 1992;9(3):232–45.
[163] Wheelwright SC, Clark KB. Revolutionizing product development:
quantum leaps in speed, efficiency, quality. New York: Free
Press, 1992.
[164] Robertson TS. How to reduce market penetration cycle times. Sloan
Manage Rev Fall 1993;35(1):87–96.
[165] Schmenner RW. The merit of making things fast. Sloan Manage Rev
1988;30(1):11–7 (Fall).
[166] Handfield RB. The role of materials management in developing
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328 327
![Page 12: Antecedents and outcomes of new product development speed: An interdisciplinary conceptual framework](https://reader035.vdocuments.site/reader035/viewer/2022080102/575020f01a28ab877e9d4c4b/html5/thumbnails/12.jpg)
time-based competition. Int J Purchasing Mater Manage 1993;
29(1):2–10.
[167] Bockerstette JA, Shell RL. Time based manufacturing. New York:
McGraw-Hill, 1993.
Ajay Menon is an associate professor of marketing at Colorado
State University.
Jhinuk Chowdhury is an associate professor of marketing at the
University of North Texas.
Bryan A. Lukas is an associate professor of Marketing at the
University of Melbourne.
A. Menon et al. / Industrial Marketing Management 31 (2002) 317–328328