msc thesis johan sol organizational creativity
TRANSCRIPT
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Organizational Creative Capacity
Exploringthemicrofoundationsfundamental to organizationalcreativecapacity
Written by: Ing. J.H. Sol (#5973163)
March 2011
University of Amsterdam
Faculty of Economics and Business
Master Thesis Business Studies
Supervisor: Dr. Ranjita M. Singh
2nd supervisor:
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Preface
During my master Business Studies I have developed a deep interest in theories that aim to explain the
sources of performance differentials among firms active in high-tech sectors. My interest in these
firms can be explained by the incredible innovations they bring to markets and the subsequent positive
enrichments these innovations have on our lives.
Throughout last years, I have studied dozens of theories that present factors that potentially influence
performance differentials among firms. These factors vary from theories related to organizational
structures to theories on the influence of managerial cognitive dissonance. However, of all factors that
LQIOXHQFHDFRPSDQLHVFRPpetitive strength, I have found organizational creativity to be the most
important by far.
In my opinion, human creativity is the ignition spark of all technological innovation and is therefore
the fundamental cause of almost all competitive dynamics in high-tech sectors. History has shown that
breakthrough creative ideas can mean the beginning of a Schumpeterian shock, which can result into
massive shifts in wealth distribution among industry players. This notion of creative destruction
fascinated me and has raised a lot of questions related to the somewhat mysterious concept of
creativity. Among these questions are: Why are some companies more creative then others? Do
successful companies have more creative employees than their competitors, or do they have different
managerial practices? Do creative people exist at all, or is creative achievement caused by intensive
efforts? During this thesis I have tried to answer questions like these in order to get a better
understanding of the roots of value creation within a capitalist society.
I would like to thank a few people that contributed to this thesis. In the first place I would like to thank
Ranjita Singh for her supervision during my research. Her valuable, timely and adequate feedback was
of great value and certainly influenced the quality of this research in a positive way.
I also would like to thank all interviewees for spending time and attention on this research; without
their corporation this research would simply be impossible. I very much enjoyed interviewingknowledgeable people regarding the topic that interested me so much.
At last, but certainly not least, I wish to thank my parents Joop and Janine for their unconditional
support during my study. Having said that, I hope you enjoy reading this thesis.
Johan Sol
Amsterdam, March 2011
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Abstract
This thesis aims to reveal the microfoundations that undergird organizational creative capacity
by conducting a multiple-case study. This thesis first explains that organizational creative
capacity is a subset of the broader domain of organizational innovative capacity. This is
followed by an extensive literature review that draws on literature from various fields within
social sciences in order to gather the variables currently known to influence organizational
creative capacity. A multiple-case study at six different high-tech firms is conducted in order
to verify and complement our understanding of the microfoundations fundamental to
organizational creative capacity.
Keywords: Organizationalcreativecapacity;creativity;competitive advantage;sensing
capabilities;sensingmicrofoundations
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Contents
Preface ..................................................................................................................................................... 2
Abstract ................................................................................................................................................... 3
1.0Introduction ...................................................................................................................................... 6
2.0 Theoretical framework ...................................................................................................................... 9
2.1 Dynamic capabilities & organizational creativity .......................................................................... 9
2.2 Creativity ..................................................................................................................................... 13
2.3 Creativity from a strategic perspective ....................................................................................... 15
2.4 Organizational creativity ............................................................................................................. 162.4.1 Variables related to individual creativity .............................................................................. 18
2.4.1.1 Individual creativity assessment ................................................................................... 20
2.4.1.2 Knowledge ..................................................................................................................... 26
2.4.1.3 Creativity training .......................................................................................................... 27
2.4.1.4 Intrinsic motivation ....................................................................................................... 28
2.4.1.5 Extrinsic motivation ....................................................................................................... 29
2.4.1.6 Work pressure ............................................................................................................... 29
2.4.2. Variables related to group creativity ................................................................................... 30
2.4.2.1 Whole brain theory ....................................................................................................... 31
2.4.2.2 Creative problem solving tools ...................................................................................... 32
2.4.3 Variables related to both individual and group creativity .................................................... 33
2.4.3.1 Culture ........................................................................................................................... 34
2.4.3.2 Physical environment .................................................................................................... 38
2.4.3.3 Resource availability ...................................................................................................... 39
3.0 Research method ............................................................................................................................ 40
3.1 Overall design .............................................................................................................................. 40
3.2 Data collection ............................................................................................................................. 40
3.3 Data analysis ................................................................................................................................ 42
4.0 Results ............................................................................................................................................. 43
4.1 Results related to individual creativity ........................................................................................ 43
4.1.1 Creativity assessment ........................................................................................................... 43
4.1.2 Motivation ............................................................................................................................ 47
4.1.3 Work pressure ...................................................................................................................... 49
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4.1.4 Creativity training ................................................................................................................. 50
4.2. Results related to group creativity ............................................................................................. 50
4.2.1 Whole brain theory .............................................................................................................. 51
4.2.2 Creative problem solving techniques ................................................................................... 52
4.3 Results related to both individual and group creativity .............................................................. 53
4.3.1 Culture .................................................................................................................................. 53
4.3.2 Physical environment ........................................................................................................... 56
4.3.3 Resource availability ............................................................................................................. 56
5.0 Discussion ........................................................................................................................................ 57
5.1 Discussion on individual creativity level ...................................................................................... 58
5.1.1 Creativity assessment ........................................................................................................... 58
5.1.2. Stimulating creativity at individual level ............................................................................. 61
5.2 Discussion on group creativity level ............................................................................................ 63
5.3 Discussion on variables related to both individual and group creativity .................................... 65
5.4 Managerial implications .............................................................................................................. 65
5.5 Theoretical implications .............................................................................................................. 66
5.6 Future research ........................................................................................................................... 67
Appendix A ............................................................................................................................................ 69
Appendix B ............................................................................................................................................ 71
References ............................................................................................................................................. 72
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1.0IntroductionDuring the last decade much academic attention has been paid to the dynamic capabilities
theory which aims to explain performance differentials in volatile technology-intensive
markets (Ambrosini & Bowman, 2009). In these environments, where technological progress
plays a dominant role, firms that continually create, extend, upgrade, protect, and keep
relevant their unique asset base will survive and prosper (Teece, 2007, p. 1319). In other
words, firms that are able to capture a significant stake of the value created by a technological
advancement will be able to survive and prosper. However, this leaves open the question of
how value is created in these firms and thereby ignores an important aspect in explaining
performance differentials among high-tech firms. This is a critical gap in the dynamic
capabilities theory as before capturing value it is important to first create it.
Understanding the process of value creation requires identifying the microfoundations
required for value creation. While we have an idea of the microfoundations for capturing
YDOXHIURP7HHFHVVHPLQDOSDSHU), a similar account for creating value eludes us.
Teece (2007) describes various microfoundations that are required for capturing value and
defines these as distinct skills, processes, procedures, organizational structures, decision rules
and disciplines. However, the microfoundations for capturing value cannot simply be
extended to the microfoundations for creating value. In this paper I will firstly explain that
organizational creative capacity plays a fundamental role in value creation and is of great
importance from a strategic management perspective. After that, this thesis aims to address
the following research question: Whichmicrofoundationsundergird organizationalcreative
capacity?It is important to understand how organizations develop and sustain organizational
creative capacity, essentially the microfoundations associated with organizational creativity.
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One of the fundamental pillars of the dynamic capabilities theory is sensing
opportunities that can ultimately result in creation of value for the firms. Yet, there is not
much research on how to sense new opportunities. To address this gap I suggest that the
dynamic capabilities theory should be complemented with the literature on organizational
creativity in order to provide a more solid explanation for performance differentials among
dynamic high-tech markets.
In spite of the importance to organizations, creativity has received relatively little
attention from strategic management scholars. A possible explanation for this could be
because creativity is considered to be the same as innovation. However, these two concepts
are fundamentally different. Creativity as human behavior can lead to creative output like new
knowledge which can, if valuable and appropriate, be applied in new products or services
surrounded by appropriate business models. In case these new products or services are
introduced on the marketplace, they are considered to be an innovation. Therefore, creativity
is a subset of the entire innovation process.
The dynamic capabilities theory assumes that opportunities from technological
advancements simply exist and therefore only describes how to identify this and subsequently
capture value from it by engaging in technological advancements. The fundamental driver
behind these innovations, human creativity, has received very little attention in the strategic
management literature. However, organizations often have to create and toil hard to develop
new ideas that have the potential to be translated into innovations. In this paper, therefore I
seek to understand how organizations develop and secure organizational creative capacity that
allows them to develop innovations.
In order to reveal these value creating microfoundations a multiple-case study is
conducted at six high-tech firms. This multiple-case study is largely based on the framework
on organizational creativity of Woodman et al. (1993) as this is the most comprehensive
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framework on organizational creativity. In order to understand the complex phenomenon of
human creativity, this framework is complemented by creativity literature derived from the
psychology discipline.
The structure of this paper is as follows. In the following chapter, various relevant
literature on (organizational) creativity from various fields will be discussed. In the third
section, the research method will be described. The results of the multiple-case study will be
described in section four. In the subsequent section, section five, a discussion will take place
wherein the results are being compared with the theories as described in the theoretical
framework section.
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2.0 Theoretical framework
2.
1 Dynamic
c
apabilities
& organizationalc
re
ativity
The focus area of this research, high-tech-industries, will be more important by the day as
these industries increasingly determine economic growth (Mowery & Rosenberg, 1989).
These high-tech sectors are to a large extent driven by technological change which is
occurring continuously. Because the number of innovations brought to the marketplace is
significantly higher in this industry than in say the retail or the steel industry, this sector
significantly more dynamic. In high-tech industries, progress is fuelled by new product
introductions and not by efficiency gains resulting from process innovations. Likewise,
sustainable competitive advantage in these industries is also largely unaffected by efficiency
gains; Improving quality,controllingcosts, lowering inventories, and adopting best
practiceswil l no longersufficefor long-UXQFRPSHWLWLYHVXFFHVV(Teece, 2007, p. 1346). This
notion is supported by Porter (1996) as he states: 7KHTXHVWIRUSURGXFWLYLW\TXDOLW\DQG
speed hasspawned a remarkablenumber ofmanagementtools andtechniques,total quality
managementbenchmarking,time-basedcompetition, outsourcing, partnering, reengineering
andchangemanagement. Althoughthe resulting operational improvementshavebeen
dramatic,manycompanieshavebeenfrustrated bytheir inabilitytotranslategains into
VXVWDLQDEOHSURILWDELOLW\ (p. 61). The inability to achieve competitive advantage from these
efficiency measures is probably due to the increasingly global open character of these high-
tech sectors in which all firms use the same widespread efficiency measures. This widespread
usage ultimately results in relative zero performance differentials.
Besides that a focus on efficiency does not lead to sustainable competitive advantage,
PDQXIDFWXULQJHFRQRPLHVRIVFDOHDUHHLWKHULQVXIILFLHQW7HHFHVWDWHVWKDWNor do
traditionalscaleeconomies in production alwayshavethedifferentiating powertheymay
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RQFHKDG0RUHWKDQVFDOHDQGVFRSHDGYDQWDJHDUHQHHGHG (p. 1346). The reduced
effectiveness of traditional scale economies in manufacturing is caused by the popularity of
outsourcing. As more and more firms are outsourcing their manufacturing processes scale
economies will be achieved at the outsourcing partner and therefore making outsourcing even
more attractive. In other words, company assets become industry assets.
Rather than efficiency measures and economies of scale, it is innovation that leads to
competitive advantage. Nevertheless, in these volatile high-tech markets innovation only
leads to temporary competitive advantage instead of sustainable competitive advantage as
subsequent innovation will lead to altered competitive positions. According to this
Schumpeterian view (Schumpeter, 1934) the purpose of the firm is to seize competitive
RSSRUWXQLW\E\FUHDWLQJRUDGRSWLQJLQQRYDWLRQVWKDWPDNHULYDOVSRVLWLRQREVROHWHthiskind
ofcompetition is asmuchmoreeffectivethan [pricecompetition overexisting products] as a
bombardment isoncomparison withforcing a door Schumpeter, 1950, p. 84). This
Schumpeterian view and the dynamic capabilities view seem to agree that technological
progress is the main value creator in these markets. Nevertheless, Teece (2007) is more
concerned about sustainable competitive advantage which means that he is more concerned
about how to manage and organize a firm in such a way that it is able to capture value from
subsequent innovations over the long run. In order to achieve this, the dynamic capabilities
theory states that a firm should possess three capabilities: sensing, seizing and reconfiguring
capabilities. Sensing is related to the identification of technological advancements and other
RSSRUWXQLWLHVWKDWFRXOGLQIOXHQFHDFRPSDQ\VFRPSHWLWLYHSRVLWLRQ6HL]LQJLVUHODWHGWRWKH
transformation of these identified (technological) opportunities into products and services
surrounded by appropriate business models to extract economic rents from these products and
services. Reconfiguration capabilities are related to the ability to combine, reconfigure and
protect assets that efficiently facilitate operational business models. Teece (2007) explains
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that these FDSDELOLWLHVVXEVHTXHQWO\FRQVLVWRXWRIPLFURIRXQGDWLRQVdistinctskil ls,
SURFHVVHVSURFHGXUHVRUJDQL]DWLRQDOVWUXFWXUHVGHFLVLRQUXOHVDQGGLVFLSOLQHV (p. 1319).
The microfoundations described in the paper of Teece (2007) are largely related to
value capturing and, to a large extent, ignore the microfoundations required for value creation
(i.e. creating technological advancements). It is unlikely that firms solely aim to capture value
from technological advancements while not creating technological advancements themselves.
However, in some cases the sensing capability could play an important role during the
initiation of the innovation process as customer sensing could reveal unmet technological
needs. Appropriate innovations make possible to fulfill these unmet technological needs.
Teece (2007) provides good insight into the microfoundations required for identifying these
unmet needs but on the other hand fails to explain which microfoundations underlie the
development of these technological advancements itself. The subsequent question therefore
should be: which microfoundations are required for creating technological advancements?
The paper advanced claims that organizational creative capacity plays a fundamental role into
creating technological advancements and therefore aims to reveal microfoundations related to
organizational creativity.
Technological advancement is initiated by the creation of new knowledge (Popaiduk & Choo,
2006, p. 308). Knowledge creation is largely based on human creativit\,IWKHUHZDVQWDQ\
creativity, there would be no progress, and we would be forever repeating the same patterns
(de Bono, 1992). This implies that organizations should support (creative) individuals in order
to stimulate the creative process resulting in creative products. (Nonaka, 1994, p. 17).
Besides being fundamental to technological innovation, human creativity is also a prerequisite
IRUHQWUHSUHQHXULDORSSRUWXQLW\UHFRJQLWLRQ,QQRYDWLYHEXVLQHVVPRGHOVOLNH'HOO,QFVDQG
Wall-0DUWVDUHDOVRSURducts of human creativity and illustrate that creativity is also
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important to other areas then technology as well. Schumpeter (1934) was the first one to link
creativity as intrinsic personal quality with the ability to recognize entrepreneurial
opportunitLHV$UGLFKYLOLHWDOOLVWILYHNH\IDFWRUVWKDWLQIOXHQFHVRPHRQHVDELOLW\WR
identify and develop entrepreneurial opportunities: alertness, prior knowledge, optimism,
social networks and creativity.
Having explained the importance and role of (organizational) creativity, one particular
inherent characteristic of organizational creativity should be highlighted from a strategic
viewpoint. One distinguishing attribute of organizational creative capacity is that it cannot be
acquired from a marketplace and that it cannot be executed on command. This property of
organizational creativity is in stark contrast to many other rent generating resources like most
tangible assets or in some cases knowledge. Organizational creative capacity is to a large
extent based on (the interaction between) human capacities, human mindsets / attitudes, and
environmental influences. Human mindsets / attitudes cannot be selected or activated, this has
to be stimulated through an organizational culture. Managers therefore need to have a
thorough understanding of which microfoundations are fundamental to organizational creative
capacity. This research is based on the premise that individual creativity is dependent on the
interaction of the employee itself with its environment. This interactionist notion is introduced
by Woodman & Schoenfeldt (1990)URPDQLQWHUDFWLRQDlist perspective,thebehaviour of
an organism at any point intime is acomplex interaction ofthesituation andsomethingelse
thissomethingelse istheQDWXUHRIWKHRUJDQLVPLWVHOI(p. 279-280). Some years later,
Woodman et al. (1993) proposed a framework on organizational creativity based on this
interactionist notion. This framework goes one step further by analyzing group creativity and
organizational creativity as well. This framework analysis organizational creativity on three
different levels; the individual, the group and the organization while incorporating a variety of
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variables. In dynamic capabilities terms these variables can be seen as microfoundations as
they contain processes, skills, capacities and structures that undergird organizational creative
capacity. This thesis is, to a large extent, based on this framework as this framework offers a
solid basis for investigating the microfoundations fundamental to organizational creative
capacity.
Before the framework on organizational creativity will be illustrated and described, two other
topics will be discussed. Firstly, in order to avoid miscommunication, a more in-depth
description of creativity itself will be given. Secondly, the current state of creativity research
from a strategic management perspective will be described. Thereafter, the framework on
organizational creativity will be explained and discussed.
2.2 C reativity
While the management literature, to a large extent, ignores the role and aspects of creativity,
various other fields do spend much attention on creativity research. Creativity is a widely
studied subject that is investigated from a variety of perspectives. Equally diverse are the
various definitions used to define the concept but the most common definition is WKHDELOLW\
to produce workthat isboth novel (i.e. original, unexpected) and appropriate (i.e. useful,
adaptiveconcerningtaskconstraints(Sternberg & Lubart, 1999, p. 3). Most definitions of
creativity have two familiar components. First, it is related to something new, different or
innovative. Second, the creative product should be appropriate and useful (Kaufman &
Sternberg, 2010a). The focus of this research is on organizational creativity capacity which I
define as the capacity to create valuable, useful new products, services, ideas, procedures, or
processes by individuals working together in a complex social system.This definition is
partly based on the definition of Woodman et al. (1993, p. 293). Organizational creative
capacity is not the same as innovative capacity but can be seen as a subset of innovative
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capacity (p.293). Organizational innovative capacity can be defined as the capacity to
introduce valuable, useful new products, services, ideas, procedures, or processes. In similar
vein, seizing capacity (e.g. ability to transform creative output into business models) can be
perceived as another subset of innovative capacity. However, organizational creative capacity
is a difficult to measure construct as creative outcomes appear in various forms (i.e. patents,
ideas, products, etc.) of which quantity and quality are often difficult to measure.
As mentioned above, creativity has received a lot of attention from scholars. Creativity related
theories and research can be divided into 4 categories: process, product, person, and place.
Research related to process refers to theories that focus on the creative process and therefore
DLPWRXQGHUVWDQGWKHQDWXUeofthementalmechanismsthatoccur when a person isengaged
LQFUHDWLYHWKLQNLQJRUFUHDWLYHDFWLYLW\ (Kaufman & Sternberg, 2010, p. 24). Theories and
studies related to the product aspect focuses on creative product itself. Creative products
could be works of art, inventions, publications, musical compositions etc. (p. 24). These
studies are related to the evaluation of products by examining originality, relevance,
XVHIXOQHVVDQGFRPSOH[LW\7KHLQKHUHQWZHDNQHVVRIWKHVHVWXGLHVLVWKDWWKH\GRQWWHOl
anything about the creative process or about the creative personality that created the creative
product. Therefore, other studies aim to discover whether creative persons share certain
personality traits, properties, or behaviors. The last category of creativity research is on the
place aspect. Place, or sometimes referred to as environment, studies variables such as
structures, resources, strategies, leadership styles and more.
However, in order to understand creativity in an organizational context a holistic
approach is required which means that several of these aspects should be incorporated. Only a
few researchers in management have attempted to construct an integral framework on
organizational creativity. The most comprehensive framework, the framework of Woodman et
al.(1993), incorporates theories from all four categories. More specific, process theories will
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be used for analyzing the applied creative problem solving methods. Product and personality
theories will be applied in the creativity assessment section as possible basis for assessing
individual creative capacity. Finally, theories related to the place category will be used for
discovering which environmental aspects influence organizational creativity. Before this
framework will be described in more depth, two alternative frameworks on organizational
creativity will be discussed.
2.3 C reativity f rom a strategic perspecti ve
The field of strategic management has been dominated by various waves of dominant topics.
Efficiency dominated the 1950s and 1960s, quality dominated in the 1970s and 1980s,
flexibility in the 1980s and 1990s, and we now live in the age of (open) innovation. In the last
two decades scholars have been increasingly paying attention to innovation as competitive
advantage becomes more and more dependent on the ability to innovate. This focus on
innovation brings with, although still relatively little, an increased attention on organizational
creativity as organizational creativity can be seen as subset of the broader domain of
innovation (Woodman et al., 1993, p. 293). This attention is mostly allocated to the
development and validation of frameworks on organizational creativity that aim to describe
the underlying microfoundations of organizational creative capacity.
Three prominent frameworks on organizational creativity exist. Amabile (1988) was
the first to introduce her componential model on organizational creativity. This model
considers creativity on individual, team and the organizational level. Amabile mentions that
domain-relevant skill (e.g. the basic skills that lead to competent performance in a given
field), creativity-relevant skills (e.g. domain general creativity skills like cognitive style and
divergent thinking abilities) and task motivation (e.g. intrinsic and extrinsic motivators)
influence individual creativity. At the organizational level, Amabile (1997) predicts that
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creativity is dependent on resources (e.g. sufficient time, training etc.), management practices
(e.g. support, debate, communication, freedom etc.) and organizational motivation (e.g.
orientation toward creativity and innovation). The second model on organizational creativity
is the model of Ekvall (1996). The framework on organizational creativity of Ekvall (1996)
lists 10 factors which collectively describe the creative climate in an organization. These 10
factors are: idea time, risk taking, challenge, freedom, idea support, conflicts, debates,
playfulness/humor, trust openness, dynamism/liveliness (p. 107, 108). The third model, the
model of Woodman et al. (1993), is preferred over these two alternatives as this model is most
comprehensive (e.g. takes into account more variables that could influence creative
behaviour) and allows for a more structured research design.
2.4 Organizational creativity
In this thesis the model of Woodman et al. (1993) is used as a starting point for investigating
organizational creative capacity. This framework is developed for understanding creativity in
complex social settings like the firms under investigation. The framework considers creativity
at three different levels: individual level, group level and the organizational level. In this
thesis, the focus is on the individual level and the group level as organizational creativity is
solely dependent on group creativity as illustrated in the model. Figure 2.1 illustrates the
model.
According to this model, individual creativity depends on antecedent conditions, cognitive
style and ability, personality factors, relevant knowledge, motivation, social influences and
contextual influences (p. 295, 296). Group level creativity is, besides of individual creativity,
dependent on group composition, group characteristics, group processes and contextual
influences (p. 296).
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Figure2.1 Frameworkon organizationalcreativity (Woodmanet al., 1993, p. 295)
As mentioned, this framework serves as a starting point for investigating organizational
creativity. Yet, two actions are executed for making this framework useful for this research. In
the first place, some of the variables are categorized. This means that the variables antecedent
conditions, cognitive style, and personality are categorized under the section creativity
assessment. This because these variables are only relevant from a recruitment perspective as
these variables could serve as indicators for individual creative capacity during job
application processes. Secondly, the variables creativity training, extrinsic motivation and
work pressure are added. The reason for these additions is the fact that several scientific
papers have indicated that these variables influence individual creativity.
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Some variables in the framework are related to both individual creativity and group creativity.
As a consequence, the variables social influences, physical environment and resource
availability are discussed in a separate section that describes variables related to both
individual as well group creativity.
All the variables at each level that are taken into consideration for this research are
summarized in the tables 2.1, 2.2, 2.3. In the following sections all the variables at each level
will be described in more detail.
2.4.1 Variables relatedto individualcreativity
In order to enhance individual creative capacity, firms can roughly do two things. In the first
place, firms can select employees with the greatest creative capacity, or at least, select people
that have the potential to behave creative. Therefore, firms should assess candidates on their
creative capacity/potential during recruitment phases. The first part of this section is on
creativity assessment and answers questions such as: Are there appropriate assessments
available for assessing creative capacity? And if there are, how reliable are they?
The second influence firms can practice is that they can facilitate their current employees in
such a way that creative behavior is likely to occur. Various factors, such as creativity
training, intrinsic motivation and others, are discussed after the individual creativity
assessment section.
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Variables relatedto individualcreativity
Woodman
indication
Related variable /
theory
Description Related authors Focus of
thisresearch?
Related
perspective
Questi
on?
A-factor Antecedent factors Various antecedent factors such as education appear to have aninfluence on individual creative capacity
Dantus (1999) Yes HR QS 11
P-factor Personality traitsrelated to creativity
Broad interests, attraction to complexity, high energy,independence of judgment, autonomy, intuition, self-
confidence, persistence, curiosity, tolerance for ambiguity,
willingness to grow, risk taking
Barron & Harrington(1981), Amabile (1988)
Yes HR QS 11
CS-factor Cognitive style(assessment)
Cognitive style refers to the ways in which people choose to useor exploit their intelligence as well as their knowledge. Various
assessments developed.
Sternberg (1988),Myers-Briggs, Herrman
Yes HR QS 11,12, 17
CS-factor Creativity assessments 9DULRXVDVVHVVPHQWVDUHGHYHORSHGWRDVVHVVLQGLYLGXDOVcreative capacity.
Plucker & Runco (1998),
Kaufman et al. (2008)Yes HR QS 11,
12
K-factor Possession of relevant
knowledge
Two contradictious theories regarding to the level of knowledgeand its influence on creativity. However, stronger empirical
support exists for the theory that assumes a linear relationship
between knowledge and creativity
Weisberg (1999), Hayes(1989)
No - -
IM-factor Intrinsic motivation Intrinsic motivation is defined as the motivation to engage in anactivity primarily for its own sake, because the individual
perceives the activity as interesting, involving, satisfying, orpersonally challenging
Amabile (1990),
Woodman et al. (1993)Yes HR QS 11,
18
- Extrinsic motivation Extrinsic motivation is defined as the motivation to engage inan activity primarily in order to meet some goal external to thework itself, such as attaining an expected reward, winning a
competition, or meeting some requirement.
Amabile (1990, 1993,
1997)Yes HR QS 11,
15, 16,
18
- Work pressure Intense workloads, time pressures and frequent workinterruptions led professional workers to be almost half ascreative as they would otherwise be
Sutton (2002), Amabile(2003)
Yes HR QS 17
- Creativity training A wide range of creativity training programs exist that haveproven to be effective.
Montouri (1992), Smith(1998)
Yes HR QS 8
Table 2.1Variables relatedto individualcreativity
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2.4.1.1 Individualcreativity assessment
In recent decades much efforts are spend on developing formalized individual creativity
assessments. However, before these formalized assessment tools are discussed, various
indicators for individual creativity potential are discussed. These variables include antecedent
conditions, personality and cognitive style.
Antecedentconditions
Antecedent conditions refer to individual background characteristics that result in differences
in individual creative capacity. The list with all antecedent conditions is potentially lengthy
but can roughly be categorized into three main subvariables: biographical characteristics,
socioeconomic status and educational background. Biographical influences refer to gender
differences, races, handedness etc.. Although researchers found significant differences
amongst socioeconomic and biographical variables, for this research they will be left out as
they are difficult to measure and in some cases unethical to study.
The third antecedent subvariable is educational background. This subvariable appears to have
DVLJQLILFDQWLQIOXHQFHRQLQGLYLGXDOVFUHDWLYHFDSDFLW\)RUH[DPSOHUHVHDUFKRI'DQWXV
(1999) shows that Montessori education fosters creative capacity of children. The practical
LPSOLFDWLRQRIWKLVLVWKDWUHFUXLWHUVFRXOGWDNHLQWRFRQVLGHUDWLRQDSSOLFDQWVHGXFDWLRQDO
background.
Personality
In the literature on creativity much is written about the shared personality of creative
individuals (Martindale, 1989). The most cited article on this specific topic is the article of
Barron and Harrington(1981) who found a large set of traits that often characterize creative
people. These traits include independence of judgment, self-confidence, attraction to
complexity, broad interests and risk taking (p. 453). Amabile (1988) extended this list by
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21
adding traits like high-energy, autonomy, intuition, persistence, curiosity, tolerance for
ambiguity and willingness to grow.
These creativity related personality traits could be taken into consideration during recruitment
phases. However, caution is required as researchers found agreement on the notion that
personality traits provide only limited predictive value for future creative achievements as
creative behavior is dependent on many more variables.
Cognitivestyle
Cognitive style, or sometimes referred to as thinking style, are the ways in which people
choose to use or exploit their intelligence as well as their knowledge (Sternberg & Lubart,
1993, p. 229). A cognitive style is not the same as an ability but is rather a preferred way of
using the abilities one has (Sternberg & Grigorenko, 1997, p. 700). Cognitive style is either
not the same as personality but represents a bridge between cognition and personality (p.
701). Some cognitive styles are more likely to demonstrate creative behavior (p. 700). In
order to determine individual cognitive style various assessments are developed.
One approach to classify different cognitive styles is the theory of mental self-government
initiated by Sternberg (1988). This framework describes cognitive styles on 5 dimensions:
functions of mental self-government, forms of mental self-government, levels of mental self-
government, scope of mental-self government and leanings of mental self-government
(Sternberg & Grigorenko, 1997, p. 707). Under functions of mental self-government three
main styles exist: legislative, executive and judicial. The legislative style characterizes people
that enjoy creating and formulating and these people do things often on their own way (p.
707). They have their own approach for solving problems and dislike pre-structures or rules.
In contrast, executive style people do like rules and use existing methods and structures and
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22
therefore can be seen as implementers. The judicial style characterizes people that like to
judge and evaluate. Research related to creativity has shown that a creative person is likely to
be a legislative individual. However, people are to some extent flexible in the usage of
different styles and will try to adapt their thinking style to the task they are working on. On
the other four cognitive style dimension no relationship with creative individuals is known
which makes this framework not very useful from a creativity research perspective neither
from a practical recruitment perspective.
The well-known Myers-Briggs Type Indicator (hereafter MBTI) is an alternative for assessing
cognitive style. This instrument is widely used in business and education and is largely based
on personality traits (Sternberg & Grigorenko, 1997, p. 704). Based on the MBTI theory a
specific tool for assessing creativity is developed: Myers-Briggs Type Indicator Creativity
Index (MBTI-CI). While making use of the MBTI-CI instrument Gouch (1981) found that
creative individuals WHQGWREHPRUHLQWXLWLYH1UDWKHUWKDQVHQVRU\6PRUH
SHUFHLYLQJ3UDWKHUWKDQMXGJLQJ-PRUHH[WURYHUWHG(UDWKHUWKDQLQWURYHUWHG
,DQGPRUHWKLQNLQJ7UDWKHUWKDQIHHOLQJ) (Stevens et al., 1999, p. 461). In
the study of Gough (1981) he found an average score of 235.5 on a total of 89.000 persons
within a range of MBTI CI scores of -84.5 to +547.5 for highly creative individuals.
Gouch(1981) estimates that people with CI scores above 350 are especially likely to show
breakthrough creativity.
Another well-known instrument for assessing cognitive style is the Herrman Brain
'RPLQDQFH,QVWUXPHQWKHUHDIWHU+%',7KLVLQVWUXPHQWGHWHUPLQHVRQHVWKLQNLQJSURILOe
from responses to a 120-question survey form. The resulting profile appoints the preferred
mode of thinking and processing information (Lumsdaine & Lumsdaine, 1994, p. 5).
-
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23
Roughly, there are 4 main profiles corresponding with the four quadrants (labeled A,B,C,D)
in our brain. that are labeled A,B,C,D. Quadrant D is mostly related to creative thinking as
this is related to imaginative, spatial, idea-intuitive, flexible, creative and is concerned with
possibilities, change, innovation, visions and entrepreneurship (p. 5).
These cognitive style assessments are also particularly useful for composing diverse teams as
cognitive abrasion is positively related to team innovativeness (Leonard & Straus, 1997).
More about cognitive diversity under the whole brain theory section.
Creativity assessmentsBesides the various indicators for creative potential as mentioned in the previous section,
various formalized creativity assessments are available. In the article of Plucker & Runco
(1998) they describe the recent state of scientific creativity assessment research. They state
that the divergent thinking (DT) test is the most popular technique for measuring creativity (p.
36). Divergent thinking can be conceptualized as LQYROYLQJFRJQLWLYHSURFHVVHVWKDWKHOS
oneproducemultiple responsesto open-ended questionsor problems .DXIPDQHWDO
p. 16). Divergent thinking is perceived as the opposite of convergent thinking in which
cognitive processes are used to produce one or very few possible solutions to a given
problem. Within DT tests four aspects are measured: fluency, originality, flexibility, and
elaboration. Fluency refers to the number of responses to a given stimuli whereas originality
refers to the uniqueness of responses to a given stimuli that can be measured by the statistical
infrequency. Flexibility refers to the number and / or uniqueness of categories of responses to
a given stimuli whereas elaboration refers to the extension of ideas within a specific category
of responses to a given stimuli.
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24
Most DT tests have proven to reach an acceptable level of reliability and concurrent
validity (Kaufman et al., 2008, p. 39). Yet, due to mixed findings no consensus has been
reached on the question whether DT tests meet a threshold level of predictive validity
(Howieson, 1981; Runco, 1986a; Kogan & Pankove, 1974; Weisberg, 1993).
The second main stream of creativity assessment is the Consensual Assessment Technique
(CAT). Instead of focusing on the creative capacity of an individual, these tests focus on the
creative product. Subjects are being asked to create something and experts are then asked to
HYDOXDWHWKHFUHDWLYLW\RIWKRVHSURGXFWV.DXIPDQHWDOS,QGLYLGXDOVFUHDWLYH
capacity is deducted from the collective judgement of recognized experts on the creative
product. Where DT tests are standardized and scores applicable everywhere, CAT is a relative
measure again the rest of the group. These independent raters typically evaluate students work
on novelty, problem resolution, and elaboration and synthesis attributes of products (Kaufman
et al., 2008, p. 53)
Because CAT assessments are based on the actual products created by subjects and
because it compares against each other, this measure should be very useful for recruitment
purposes. Potential candidates can for example be faced with a case study that they have to
solve. The proposed solution can be assessed on creativity from which creative capacity can
be derived. Nevertheless, recruiters need to take into account that creativity could be domain
specific. Still, the discussion on whether creativity is domain-specific or domain-general is
ongoing due to mixed research findings (Silvia et al., 2009).
The CAT technique has strong face validity, in other words, it measures exactly what
it looks like it measures (Kaufman et al., 2008, p. 59). The predictive validity of the CAT
technique is limited to the specific domain in which the test is taken. In case a minimum of
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25
five experts are used an acceptable to high rate of inter-rater reliability will be achieved
(Amabile, 1996).
The third mainstream of creativity assessments is the assessment by others (also: ABO).
Although it seems to be the same as the CAT method, it is different in that it asks the raters to
judge the creativity of a person DVDZKROHLQVWHDGRIWKHSHUVRQVSURGXFWV.DXIPDQHWDO
2008, p. 84). This means that the assessment by others is based on the traits and abilities one
believes the people being judged possess that are relevant to creativity and not on the creative
output (p. 84). This assessment could be executed by for example teachers, peers or parents
like at the CAT method. The main concern with the ABO technique is that raters often have
wrong perceptions of creativity traits and associations of creativity and therefore make wrong
judgements (Pearlman, 1983). The most popular ABO assessment is the Williams scale that is
part of a larger assessment package used to assess gifted children. Although quite often used
by educational instances, Cooper (1991) concluded that the Williams scale FRXOGQRWEH
UHFRPPHQGHGDVDQDGHTXDWHDVVHVVPHQWRIWKHFRPSOH[GLPHQVLRQVRIFUHDWLYLW\(Cooper,
1991, p. 196). This conclusion is supported by the Centre of Creative learning (2002a) as they
rate both reliability and validity as poor. Also other ABO assessments appear to lack validity
(Kaufman, 2008, p. 99). Kaufman therefore concludes that although ABO cannot be used on a
standalone basis, it could give a valuable contribution when used in combination with other
kinds of assessments (Kaufman, 2008, p. 99).
In sum, divergent thinking tests appear to be the best tool for measuring creative capacity as
they meet a threshold level of validity and reliability. Nevertheless, the predictive value of DT
tests remains questionable. In contrast, the predictive value of CAT assessments is proven to
-
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26
be sufficient although it is restrained to the specific domain in which it is tested. The intuitive
ABO method can be used as supplement to the two previous techniques.
2.
4.
1.
2 Knowledge
Existing knowledge is the fundamental pillar for creativity as creative ideas are always build
on existing knowledge. The relationship between knowledge and creativity is a heavily
debated one as there exist two contradictory theories. The first theory states that someone
needs to posses deep knowledge of a specific field if one hopes to produce something novel
within it. The opposing theory on the other hand states that WRRPXFKH[SHULHQFHFDQOHDYH
one in ruts,sothatonecannotgo beyondstereotyped respondiQJ (Weisberg, 1999, p. 226).
In other words, the second theory predicts that the relationship between knowledge and
creative performance is like an inverted U-shape while the first theory predicts that the
relationship is a linear with a threshold level of expertise needed for a creative
accomplishment.
Both theories are widely studied (Weisberg, 1999). Hayes (1989) made an important
contribution regarding the first theory by investigating the time needed to reach master-level
creative performance in several fields like composers, painters, poets, chess masters and
scientists. Hayes (1989) found that, among all fields, that even the most noteworthy and
WDOHQWHGLQGLYLGXDOVUHTXLUHGPDQ\\HDUVDWOHDVW\HDUVRISUHSDUDWLRQEHIRUHWKH\EHJDQ
to producHQRWDEOHZRUNRUPDVWHUZRUNS'XULQJWKHLUSUHSDUDWLRQWLPHPXFKRI
this time is spent on internalizing what has already has been done in the discipline and
acquiring knowledge and skills to perform at world-class level (p. 231).
In the article of Weisberg (1999) wherein he reviews these two contradictious theories
he finds that the empirical support for the U-shape theory is weak. He therefore concludes that
creativity and knowledge are positively related and that a creative artist on a certain point
needs to break away from his existing knowledge in order to make a creative contribution.
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27
This breaking away can be done by applying knowledge from different fields that could result
in a new perspective. Consider the following situation, discussed by DeBono (1967):
)RUPDQ\\HDUVSK\VLRORJLVWVFRXOGQRWXQGHUVWDQGWKHSXUSRVHRIWKHORQJORRSVLQWKH
kidneytubules: itwas assumedthatthe loopshad nospecia lfunction and were a relicofthe
waythekidney hadevolved. Then oneday anengineer looked atthe loops and atonce
recognizedthattheycould bepartofacounter-currentmultiplier, a wellknownengineering
devicefor increasingtheconcentration ofliquids. Inthis instance, afresh lookfromoutside
provided an answertosomethingthaWKDGEHHQDSX]]OHIRUDORQJWLPH (p. 148-149)
This example exemplifies the breaking away notion as mentioned above. This creative
achievement can be fully attributed to the combination of knowledge from different fields and
has relatively little to do with individual creative capacities or creative problem solving
techniques.
From practical considerations (e.g. the influence of knowledge is a research itself), it is
decided to not include the knowledge variable. Because of the firm evidence of the
importance of knowledge on creativity this will not harm the research as the importance is
already determined.
2.4.1.3 C reativitytraining
Montouri (1992) states that besides creating incentives, optimization of culture and other
efforts for enhancing creative capacity, creativity training is a preferred one. This preference
is illustrated by the fact that 25% of the organizations employing more than 100 people offer
some form of creativity training (Solomon, 1990). A wide range of training programs exists in
content as well as in delivery methods of the courses as for example Smith (1998) identified
172 techniques / instructual methods attributed for enhancing divergent thinking skills. In the
article of Scott et al. (2004) they studied the effectiveness of the different training methods
and found that creativity training is effective and beneficial for a wide variety of people. More
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28
specific, training can have large effects on each of the four major criteria applied in training:
divergent thinking, problem solving, performance, and attitudes and behavior (p. 381).
2.
4.
1.
4 Intrinsicmotivation
Many creativity scholars perceive intrinsic motivation as a key element for creative
achievements (Amabile, 1993). Intrinsic motivation can be defined as performing an activity
for its inherent satisfaction rather than for some separable consequence(Ryan & Deci, 2000,
p. 56). The importance of intrinsic motivation is highlighted by the fact that Amabile (1997)
found that a high degree of intrinsic motivation can make up for a deficiency of expertise or
creative thinking skills. She explains this phenomenon by stating that a highly motivated
person is likely to put great efforts into his or her task and will probably, when necessary,
acquire and apply skills that are needed to complete the task (Amabile, 1997, p. 44).
Although sometimes perceived as uncontrollable, Amabile (1997) found several
factors that positively influence intrinsic motivation. One important factor is the freedom
someone has in how to perform a dedicated task. Individuals that are restrained in the choice
of their task strategy will less likely to be intrinsically motivated and will therefore be less
likely to behave creative (Woodman et al., 1993, p. 300). Other factors that positively
influence intrinsic motivation are challenge, certain work-group features, supervisory
encouragement and organizational support (Amabile, 1997). Under work-group features fall a
VKDUHGH[FLWHPHQWRYHUWKHWHDPVJRDOZLOOLQJQHVVWRDVVLVWHDFKRWKHUDFNQRZOHGJHPHQW
each RWKHUVNQRZOHGJHDQGSHUVSHFWLYHS2QHDVSHFWRIVXSHUYLVRU\HQFRXUDJHPHQWLVD
positive attitude towards suggested ideas. Organizational support can be done putting in place
appropriate systems or procedures and emphasize values that emphasize the top priority of
creativity (p. 84). Another way to support creativity is by stimulate knowledge sharing and by
ensuring political problems do not fester (p. 84).
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29
2.4.1.5 Extrinsicmotivation
While not mentioned in the framework on organizational creativity of Woodman et al. (1993),
various literature indicated that extrinsic motivation has an influence on individual creative
behavior (Amabile, 1997). Extrinsic motivation comes from outside the individual which
means that tasks are executed in order to attain some separable outcome (Ryan & Deci, 2000,
p. 56). Extrinsic motivation is the opposite of intrinsic motivation whereby the individual is
motivated by enjoyment or curiosity instead of monetary rewards or annual evaluations.
Amabile (1990) has shown that extrinsic motivation is far less important, or in some cases
even detrimental, for stimulating creative behavior. This detrimental effect can be attributed
WRWKHIDFWWKDWH[WULQVLFPRWLYDWRUVXQGHUPLQHDSHUVRQVVHQVHRIVHOI-determination
(Amabile, 1997, p. 45).
Nevertheless, not all forms of extrinsic motivation are detrimental to creativity.
Amabile (1993) found that certain forms of extrinsic motivation worked synergistically, or at
last not undermining, with intrinsic motivation. Under these extrinsic forms fall reward and
recognition for creative ideas, clearly defined overall project goals, and frequent constructive
feedback on the performed work (Amabile, 1997, p. 45).
2.4.1.6 Workpressure
Sutton (2002) observed that management scholars and practitioners alike increasingly
complain about the lack of creative output by professionals. A possible reason for this lack of
creativity is the increasing workloads caused by downsizing pressures of shareholders that
want to increase efficiency by reducing human resources. Elsbach & Hargadon (2006) found
that intense workloads, time pressures and frequent work interruptions led professional
workers to be almost half as creative as they would otherwise be. These findings are
supported by Hallowell (2005) and Perlow (2001) that both found that time pressure as well
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30
as frequent interruptions significantly reduces individual creativity. Yet, there are a few
exceptions at which high work pressures, to a certain extent, do not affect creative
performance (Amabile et al., 2002). One condition for this unaffected creative performance is
focus. If people can concentrate for a longer period on a single task they still can be creative
despite high workloads. This requires some degree of isolation and limited collaboration. The
VHFRQGFRQGLWLRQIRUOHJLWLPDWHKLJKZRUNSUHVVXUHVLVZKHQHPSOR\HHVLQWHUSUHWWKHKLJK
work pressure as a meaningful urgency. Employees that understand why solving a problem or
completing a job is crucial will be more likely to remain creat LYHDVWKH\ZLOOIHHOWKH\DUHRQ
DPLVVLRQ$PDELOHS
2.4.2 Variables relatedto groupcreativity
The previous section described variables related to individual creativity. However, individual
behaviour is to a large extent influenced by the interaction with other individuals. As a
consequence, several more variables need to be considered for investigating organizational
creativity. This paper will now continue with describing the variables related to group
creativity. An overview of the variables related to group creativity is given in table 2.2.
Variables related groupcreativity
Woodmanindication
Relatedvariable /
theory
Description Related authors Focus ofresearch
Relatedperspec
tive
Howtested?
COMP Wholebrain
theory
A innovative teams needsto have a variety of
thinking styles /backgrounds that areproperly combined andmanaged
Leonard &Straus (1997),
Herman (1981)
Yes HR,R&D
QS 18
CHAR Leadershipstyle
Amabile et al. foundseveral specific leaderbehaviours that have asignificant influence onVXERUGLQDWHVFUHDWLYHperformance
Amabile et al.(2004),McFadzean,1998
No - -
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31
Table 2.2Variables relatedto groupcreativity
2.4.2.1 Wholebraintheory
The cognitive style section described that each individual has a preferred cognitive style
which means that everyone has a preference for the way to process and assimilate data. The
most widely recognized cognitive distinction is between the left brainers and right brainers.
Left brainers are better at performing logical, analytic and mathematical tasks whereas right
brainers are much better at non-verbal ideation, intuition, holistic and synthesizing activities
(Herrmann, 1981, p. 11). These differences reveal themselves in work styles and decision-
making activities (Leonard & Straus, 1997, p. 113). Teams consisting of a variety of cognitive
styles will approach problems from several perspectives and are likely to be more innovative
then homogenous teams. Homogenous teams will have the same way of thinking and looking
DWSUREOHPVDQGZLOOOHVVOLNHO\WRTXHVWLRQVHDFKRWKHUVDVVXPSWLRQV6ROYLQJDSUREOHP
often requires a variety of approaches which means that a team should contain both right
brainers as well as left brainers. In other words, a whole brain is required. Cognitive
assessment tools like HBDI and the Myers-Briggs Type Indicator are well-able to determine
cognitive styles and therefore are useful for composing whole brained teams.
Besides incorporating a diversity of cognitive styles, also other individual differences
like education, company tenure, nationality, age, gender and socioeconomic background
appear to have a positive effect on team innovativeness (Milliken & Martins, 1996).
PROC Creativeproblem
solvingtechniques
(CPS)
Brainstorming,Brainwriting Object
stimulation, MetaphorsWishful thinking, rich
pictures
McFadzean,1998
Yes R&D QS 21,22
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32
2.4.2.2 C reativeproblemsolvingtools
In the article of McFadzean (1998) he describes and categorizes various creative problem
solving (also CPS) tools. MacFadzean (1998) divides creative problem solving methods into
three categories: paradigm preserving, paradigm stretching and paradigm breaking.
Paradigm preserving techniques should be used when there is no intention to introduce new
elements or relationships into the problem (McFadzean, 1998, p. 311). Examples of paradigm
preserving techniques are brainstorming and brainwriting. The philosophy behind
brainstorming is that by restraining evaluation during the divergent phase members are
DOORZHGWREXLOGRIRWKHUVLGHDV that results in a greater number of novel ideas (Woodman et
al., 1993, p. 303). However, overwhelming research exists that indicates that individuals
produce fewer ideas in group settings (Stein, 1974). Hackman and Morris (1975) argue that
this reduced performance can be attributed due to process, coordination or motivational
losses. Brainwriting is a derivative of brainstorming but is based on the exchange of written
ideas instead of verbal ideas. This method has the advantage of having parallel discussions.
Besides that, this method negates domination by one or more individuals (McFadzean, 1998,
p. 312).
Paradigm breaking techniques, like the wishful thinking and rich pictures method, encourage
participants to completely break down the boundaries of the problem space and to look at
something entirely new (p. 311). Wishful thinking and rich pictures are paradigm breaking
techniques that require more creative thinking. Wishful thinking forces the participant to look
DWDSHUIHFWIXWXUHDQGWKHUHE\H[DPLQHV fantasy statements and aims to develop ideas on
how to achieve these fantasy statements (p. 313). This technique requires much patience,
enthusiasm and experience on using this kind of CPS method (p. 313). Another technique that
can be used to look at problems from a totally different perspective is the rich pictures
technique. Participants are asked two draw two pictures: the first picture would be a picture of
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33
how each participant would like to see the situation in the future (p. 314). The second drawing
should represent how they see the current situation. After they have drawn these pictures the
participant should describe their drawings separately including all the properties of the objects
illustrated on the drawings. The aim is to generate new ideas from the descriptions given by
the participants (p. 314).
Between paradigm preserving and paradigm breaking paradigm stretching techniques exist.
These techniques have the goal to encourage users to stretch the boundaries of the problem
space. Object stimulation and metaphors are paradigm stretching techniques. The object
stimulation technique encourages participant to view the situation from a different perspective
by using unrelated stimuli (p. 312). During an object stimulation session participants have to
select and describe an object in detail. The rest of the group should use this description as a
stimulus to generate new ideas. The underlying idea is that these unrelated objects should
enhance combinative capacity in the hope some useful idea arises. Another paradigm
stretching technique is the metaphors technique. Metaphors can be used to create a fantasy
situation so that a new perspective of the problem can be gained (McFadzean, 1998, p. 313).
2.4.3 Variables relatedto both individual and groupcreativity
As mentioned earlier, some variables have an influence on both individual as well as on group
level. These variables are summarized below in table 2.3 where after they are described in
more detail.
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34
Table 2.3Variables relatedto both individual aswell groupcreativity
2.4.3.1 Culture
Martins and Terblanche (2003) offer a comprehensive framework (Figure 2.1) that
incorporates many culture related variables that have a positive influence on creativity and
innovation. The framework is divided into 5 subcategories: strategy, structure, support
mechanisms, behaviour that encourages innovation and communication.
Variables relatedto both individual and groupcreativity
Woodmanindication
Relatedvariable /
theory
Description Related authors Focusof
research
Relatedperspec
tive
Howtested?
SI Culture This variable is a collectionof a whole range of
subvariables such asstrategy, structure, support
mechanisms, behavior, and
communication
Martins &
Terblanche
(2003)
Yes HR QS 13,19
CI Physicalenvironment
Physical environment is
considered to have a
positive influence on
creative behavior. However,
VFLHQWLILFHYLGHQFHGRHVQW
exist.
Bauer (2004),
Amabile (1996),
Leonard & Swap,
1999)
Yes HR QS 6,14
CI Resourceavailability
The availability of resources
like time, experts, money
has a positive influence on
the development of ideas of
individual employees.
Martins &
Terblanche
(2003)
Yes HR QS 15
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35
Figure2.2 - F rameworkoncultureforcreativity and innovation (Martins & Terblanche, 2003, p. 70)
Strategy:According to Covey (1993) the mission and vision are the origins of creativity and
innovation and the mission and vision statements should therefore be understood by the whole
organization. From the vision and mission statement management should derive a set of
strategic goals and objectives. Arad et al. (1997) found that it is important to reflect the
purposefulness of the prescribed goals and objectives to ensure employee motivation.
Structure:Several scholars tried to find out which organizational structures promote
innovation (Armstrong, 1995). Arad et al. (1997) found that a flat structure, autonomy and
work teams will promote innovation, whereas specialisation, formalisation, standardisation
and centralisation will inhibit innovation (Martins & Terblanche, 2003, p. 70). Other
supportive features related to structure are flexibility, freedom and cooperative teamwork
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36
whereas rigidity, control, predictability, stability and order will hamper innovation. Of these
factors, freedom and flexibility appear to be the most important ones. Employees face
freedom when they are able to choose their own problem solving strategies within loose
organizational guidelines. This freedom in decision making enhances the level of
empowerment which is subsequently positively related to creativity and innovation (Arad et
al., 1997, p.4). Flexibility can be stimulated by frequent job rotations and flexible job
descriptions (Martins & Terblanche, 2003, p 70). Another structure related factor is the
formation of co-operative teams with open communication and with a variety of backgrounds
(Arad et al., 1997). The interaction between members with various backgrounds could lead to
renewed insights as illustrated in the example of the kidney tubules described in the
knowledge section.
Supportingmechanisms:Martins and Terblanche (2003) mention several support mechanisms
that should be present in organizations that aiming for innovation. The first mechanism is
reward and recognition. Risk taking, experimenting and idea generation should be rewarded
as then it will become the dominant way of behaving (Arad et al., 1997). This experimenting
and idea generation can for example be done by allowing employees to spend 20% of their
time working on their own project. Google is well-known for this construction and it appears
to be very successful as there are periods at which 50% of what Google launches is initiated
and developed in the 20% time part1. Information technology is another important supporting
mechanism as this allows employees to communicate and exchange ideas throughout the
company (Shattow, 1996). The last supporting mechanism that is mentioned by Martins &
Terblanche (2003) is the recruitment, selection and appointment and retention of employees.
This notion, and the consequences of this notion, is widespread described throughout this
thesis and will therefore not be repeated in this section.
1 Marissa Mayer (VP Search products & Users Experience at
Google) declared this at a conference at Stanford University
June 30, 2006.
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37
Behaviourthatencourages innovation:Martins & Terblanche (2003) mention seven different
behavioural forms that promote or inhibit innovation. The first important norm is the freedom
to make mistakes. This means that mistakes should be not be ignored, covered up or punished,
but should be discussed and should be seen as a learning moment (Ryan 1996; Tushman &
25HLOly, 1997). The amount of mistakes could be reduced by providing employees certain
JXLGHOLQHV7KLVQRWLRQLVLQWKHVDPHOLQHRIWKLQNLQJZLWKWKH6WUDWHJ\DVVLPSOHUXOHV
WKHRU\RI(LVHQKDUGW6XOO7KH6WUDWHJ\DVVLPSOHUXOHVWKHRU\VXJJHVWV that
managers that are facing an abundance of (entrepreneurial) opportunities should have a couple
of rules as guidelines in order to recognize and exploit the most appropriate opportunities.
Rules could be about priorities, timing, or boundaries. For example, boundary rules can help
managers focus on which opportunities to pursue and which are outside the pale. By setting
this kind of rules the change of success will increase without losing innovativeness and
spontaneity of employees.
Another behavioural form is the openness to new ideas. Amabile (1995) found that fair
evaluation of ideas will support and encourage creativity. Also a continuous learning
orientation should support creativity and innovation (Arad et al., 1997). Practically seen this
entails that employees should focus on being inquisitive, keeping their knowledge and skills
up to date and in addition should communicate with people within the company as well as
with people from outside the company.
According to Nystrom (1990) competitiveness within innovative department plays an
important role as debating and constructive conflicts will lead to information flows within the
company. On the other hand one could argue that competitiveness leads to decreased
knowledge transfer as employees could use their knowledge opportunistically by keeping
their knowledge for their own as this will secure their interdependency.
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Finally, Martins & Terblanche (2003) mention that support for change is positively related to
creativity and innovation implying that management should create a vision that emphasises
change and includes a positive attitude towards change (p. 72).
Communication:Barret (1997) stresses the importance of an organizational culture that
supports open and transparent communication. An open and transparent culture means that
employees should UHVSHFWHDFKRWKHUVYLVLRQDVWKLVH[SRVHVSDUDGR[HVWKDWFRXOGOHDGWRQHZ
insights in case paradoxes are resolved. However, a feeling of trust is required as only then
employees are willing to reveal their opinion.
An open door policy between individuals as well as departments also has a positive influence
on creativity and innovation as this enhances knowledge exchange between entities
(Filipczak, 1997).
2.4.3.2 Physicalenvironment
Although Woodman et al. (1993) mention that physical environment influences creative
EHKDYLRXUWKH\GRQWH[SODLQLQZKLFKZD\$FFRUGLQJWR%DXHUPRUHDQGPRUH
companies take into account work environment as this has become integral part of their
innovation strategies (p. 7). The impact of work environment on creativity and innovation has
been studied in different fields including ergonomics, sociology, environmental psychology,
human resources and architecture (Haner, 2005). In spite of these efforts WKHGLUHFWOLQN
EHWZHHQWKHGHVLJQRISK\VLFDOVSDFHDQGFUHDWLYLW\LVXQSURYHQ (Leonard & Swap, 1999, p.
137). Yet, Moultrie et al. (2007) have proposed several workplace designs depending on the
innovation purpose. Unfortunately, their model has not been empirically tested. In spite of the
unknown effect of this variable on creativity, this variable is taken into account during this
research.
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2.4.3.3 Resource availability
These time pressures can be perceived as lack of resources (e.g. time). Google and many other
firms solved this problem by allowing their employees to spend 20% of their time on their
own projects. As this principle is already explained under the supporting mechanisms section
this will not be described again. Besides time, also other resources such as budget and
networks, sometimes referred to as slack resources, appear to have a positive influence on
creativity and innovation (Nohria & Gulati, 1996).
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3.0 Research method
3.1 Overall design
In order to validate the framework on organizational creativity a multiple-case study research
method is applied. According to Yin (2003), a multiple-case study research method is well-
able to investigate both inductive and deductive research at the same time. This research has
an overall deductive character as an existing framework, although modified, will be validated.
However, it is possible that after conducting data analysis the framework appears to be
incomplete because of newly discovered variables. These new variables will then be added to
the framework and this method makes the research partly inductive.
For this research, the most appropriate way of collecting data is to use the in-depth
interview technique. In-depth interviewing is a method that involves conducting exhaustive
interviews on individual basis with a small number of respondents to explore their
perspectives on a particular topic (Boyce & Neale 2006, p.3). This method allows to both test
theories as well as to build theories. The interview questions will have an overall open-ended
character as this allows the interviewer to test existing theories without directing the
interviewee in a certain direction.
3.2 Data collection
The data collection phase is divided into three sub phases; interview transcript design, case /
interviewee criteria determination, and holding interviews. During the interview transcript
design phase it is the aim to translate the research question into interview questions while
taking into account the theoretical framework. As this research has an overall deductive
character the interview questions can be derived quite directly from the variables mentioned
in tables 2.1, 2.2, 2.3. However, because of the possible inductive character of this research
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41
the interview transcript is complemented with a final open question which has the potential to
reveal overlooked or new variables.
The interview transcript is divided into seven sections. Each section combines
questions of a certain subject. The usage of the various sections depends on the background
and expertise of the interviewee in question. For example, R&D employees (e.g. scientists)
will be confronted with questions on the creative problem solving tools while HR managers
will be confronted with questions concerning creativity assessment. This complete interview
transcript can be found in Appendix A.
In order for this research to meet a threshold level of validity, the cases and the selected
interviewees have to meet certain requirements. Related to the cases, all firms should be
active in dynamic and high-tech markets as this is the field of study. Six cases are considered
as an appropriate number as more cases would increase the practical and research complexity
while a lower number would reduce generalizability and validity. For each firm at least two
perspectives are studied: HR and R&D. The choice for interviewing managers from the HR
department can be attributed to the fact that the HR department is largely responsible for the
development of organizational creativity as this department is responsible for recruitment (of
creative individuals) and to some extent responsible for environment and support of
employees (Mumford, 2000). Employees active at R&D departments, mostly scientists, can
give good insight about the creative process. Therefore, I have chosen to interview R&D
related employees as well. By interviewing employees from both perspectives at least all
variables are at least once discussed per firm. Interviewees interviewed from an HR
perspective should be involved with, or should be at least well informed on the fiUPV vision
on creativity. The R&D interviewee should be working for at least 1 year at the R&D
department as this time is required for gaining sufficient knowledge on this topic. An
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42
overview of the interviewees is provided in Appendix B. For confidentiality and privacy
reasons, company names as well as the interviewee names have been omitted. In total 17
interviews were held at 6 different high-tech firms. The interviews are held between
November 2010 and January 2011 and took 45 minutes on average.
3.3 Data analysis
During the data analysis phases similar structured tables are used as during the theoretical
framework section. In these tables the results per firm per variable are summarized and
therefore allow for a quick overview of the results. However, because the space within the
tables is quite limited, the results section will explain the results in more detail as well.
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4.0 Results
In the following section, case-based evidence will be used to develop an insight into the
microfoundations fundamental to organizational creative capacity of innovative firms. Tables
4.1, 4.2, 4.3 present overviews of the investigated cases and the related variables.
8QIRUWXQDWHO\DWILUPWKHUHZDVQWDQ\5'HPSOR\HHZLOOLQJWRJLYHDQLQWHUYLHZRQWKH
group process variables and therefore the related variables are left blank.
4.
1 Res
ul ts
re
late
d to indiv idualc
re
ativity
The results related to the various variables on individual level are summarized in table 4.1.
Because this table offers limited space, the results will be described more elaborated in the
sections below.
4.1.1 C reativity assessment
All six firms use educational background as an indicator for individual creative capacity.
More specifically, theses and academic publications are analyzed on creativity and
innovativeness. Nevertheless, some firms indicated that caution is required as it is not always
clear what the actual input of the student/employee was. Besides reviewing theses of job
applicants, firms also review other publications and patents to find proof points of creativity.
7KLVPHWKRGRIH[DPLQLQJVRPHRQHVSULRUSURGXFWVcan be perceived as Consensual
Assessment Technique (CAT).
Apart from examining appOLFDQWVSULRUSURGXFWVILUP indicated to consider
applicants professional path as well. More specifically, they are looking for scientists that
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Resultsof variables relatedto individualcreativity
Woodman
indication
Related
variable /
theory
Results per firm
Firm 1 Firm 2 Firm 3 Firm 4 Firm 5 Firm 6
A-factor Antecedent
factors
AlOILUPVKDYHLQGLFDWHGWRH[DPLQHDSSOLFDQWVHGXFDWLRQDODQGSURIHVVLRQDOEDFNJURXQG3URRISRLQWVRIFUHDWLYLW\FDQEHIRXQd by examiningtheses, publications and patents.
P-factor Personality
traits related to
creativity
No data Looking for traitssuch as: capacity for
self reflection,
excitement, passion,
intellectual curiosity,open minded
Makes use of OPQassessment and
thereby looks for
characteristics related
to creativity
Looking for traitssuch as: Continuous
improvement attitude,
intellectual curiosity,
willing to cooperate,willing to become thebest in the field.
Looking for traitssuch as: out-of-the-
box mentality,
entrepreneurial,
persistence
Largely dependent onfunction. Although
traits not specifically
mentioned,
sometimes taken intoaccount as indicatorfor creative potential.
CS-factor Cognitive
style
(assessment)
Yes, MBTI is used No assessment.Cognitive style
assessed on gut
feeling and
experience
Assessment rarelyused
No assessment.Cognitive style
assessed on gut
feeling and
experience
Make use of variousassessments: MBTI,
Belbin, PPA,
Management drivers,
10 faces of innovation
No assessment.Cognitive style
assessed on gut
feeling and
experience
CS-factor Creativity
assessments
Informal CAT (case
study or practicalproblem)
No formal
assessment. Creativecapacity largely
derive