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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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    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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    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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    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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    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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    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