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    Dana MinbaevaAssociate Professor in Strategic HRM

    Center of Strategic Management and

    GlobalizationCopenhagen Business School

    Denmark

    What drives knowledge sharing

    behavior of individuals?

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    My research

    All papers are available upon the request

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    Knowledge characteristics

    Knowledge transfer and HRM

    Sender ReceiverKnowledge

    Organizational environment

    Disseminativecapac

    ity

    Absorptivecapacity

    Barren organizational context

    Minbaeva and

    Michailova (2004) inEmployee Relations

    Minbaeva et al (2003) inJIBS

    Minbaeva (2005) in

    Personnel Review

    Minbaeva (2008) in

    ManagementInternational Review

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    Governance of knowledge processes

    Firm:

    governance

    mechanisms

    Individual:

    conditions of

    individual actions

    Individual:

    individual knowledge

    sharing behavior

    Firm:

    knowledge

    processes outcomes

    Gooderham, Minbaeva and Pedersen (2010), in Journal of Mgt Studies

    Minbaeva and Pedersen (2010), in IJSCM

    Michailova and Minbaeva (2011), forthcoming in International Business

    Review

    Foss, Minbaeva, Pedersen and Reinholt (2009) in Human Resource

    Management

    Minbaeva, Foss and Snell (2009), Special Issue of Human Resource

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    (S)HRM in MNCs

    Navrbjerg and Minbaeva (2009) in InternationalJournal of Human Resource Management

    Minbaeva, Hutching and Thomson (2007) in

    European Journal of International Management

    Minbaeva and Muratbekova-Touron (2010) in

    International Journal of Human Resource

    Management

    Employment Practices of Multinationals in Organizational

    Context, international project, www.cbs.dk/mnc

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    Dana Minbaeva and Torben

    Pedersen

    Center of Strategic Management and

    Globalization

    Copenhagen Business School

    What drives knowledgesharing behavior of

    individuals?

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    Rationale

    Whether knowledge sharing takes place in anorganization depends to a great extent on

    individual organizational members decision to

    share or not the knowledge they possess.

    in any model of knowledge sharing the

    knowledge sharing behavior of individuals

    has to be explained endogenously and on

    individual level there are not so many studies which managed

    to do so empirically

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    Why not? (1) The theories in which the discussion of intra-

    organizational knowledge sharing is nested areusually collective ones (Felin and Hesterly, 2007).

    Knowledge-based scholars should carefully revisittheir underlying philosophical and theoreticalassumptions about the primacy given to collectivesand to consider potential individual-level explanationsas antecedents to new value creation (Felin andHesterly, 2007: 214).

    Hence to push further the empirical research onknowledge sharing, we need to integrate someind iv idual-level theoriesthose consideringindividuals and their actions as the basic units ofanalysis (Elstner, 1989).

    Motivation theory

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    Why not? (2) To empirically study knowledge sharing at the

    individual level, we need ind iv idual level datacollected at various locations, organizationalunits, hierarchical levels, etc.

    That is necessary since individuals are randomlydistributed within the organization.

    Further, the data should be collected from varioussocial groups (gender, age, level of education)since individuals are a priori heterogeneous.

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    In response

    The theory of planned behavior (TPB) The TPB is an extension of the Theory of Reasoned

    Action (TRA) introduced by Fishbein and Ajzen

    (1975)

    Aim: to explain behavior of individualsendogenously as determined by its predictors

    (intentions, attitude, subjective norms and

    perceived control)

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    The motivation sequence

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    The TPB in a nutshell

    Source: http://www-unix.oit.umass.edu/~aizen/

    http://www-unix.oit.umass.edu/~aizen/tpb.htmlhttp://www-unix.oit.umass.edu/~aizen/tpb.html
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    Why the TPB?

    The TPB was extensively used to studyhuman behavior and design appropriate

    behavioral intervent ionsto change behavior

    by affecting one or more of its determinants

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    Knowledge governance mechanisms

    KGA in Foss (2007): governance mechanisms are deployedin the belief that in f luencing the condi t ions of indiv idu alact ions in a certain manner will lead employees to take thosedecisions that when aggregated lead to favorableorganizat ional outcomes(knowledge acquisition andutilization).

    Represents a reaction to what it regards as the "methodologicalcollectivism" of explanations of knowledge processes currently

    dominating the KBV research (Foss, 2007)

    Understanding of relations between governance mechanisms

    and knowledge processes implies theorizing individuals (Grant,

    1996), individual heterogeneity (Felin and Hesterly, 2007), andindividual interaction (Felin and Foss, 2005).

    Intra-organizational knowledge processes can be influenced and

    directed through the deployment of governance mechanisms

    (Foss, 2007)

    Knowledge governance mechanisms conditions of

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    Knowledge governance mechanisms

    We propose a number of knowledgegovernance mechanisms that can be appliedto influence the previously identified

    antecedents o f behavio ral intent ion s(attitude, subjective norm and perceivedcontrol) and thereby affect knowledgeshar ing behavio r of ind iv iduals.

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    Knowledge governance mechanisms

    Ajzen(1991): it is at the level of beliefs thatwe can learn about the unique factors that

    induce one person to engage in the behavior

    of interest (p. 206-207).

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    Knowledge governance mechanisms

    three types of governance mechanismsinfluencing behavioral, normative and control

    beliefs and label them accordingly as

    extrinsic rewards (behavioral beliefs)

    reciprocal schemes ( normative beliefs) and

    communication mechanisms (control beliefs).

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    Conceptual model

    Rewards

    Reciprocity

    schemes

    Communication

    mechanisms

    Attitude

    Subjective

    norm

    Perceived

    control

    Intention to

    share

    Knowledge

    sharing

    behavior

    H1

    H2

    H3

    H4

    H7

    H6

    H5

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    Hypotheses H1. Strong intention to engage in knowledge sharing behavior positively

    influences the extent of knowledge sharing behavior.

    H2. A positive attitude toward knowledge sharing positively influences the

    individuals intention to share knowledge.

    H3. Strong subjective norms about knowledge sharing positively influence

    the individuals intention to share knowledge.

    H4. Perceived behavioral control positively influences the individuals

    intention to share knowledge

    H5. The more individuals are externally rewarded for knowledge sharing, the

    more positive their attitude toward knowledge sharing is.

    H6. The more individuals are reciprocally rewarded for knowledge sharing,

    the more positive their subjective norm regarding knowledge sharing is.

    H7. The more individuals use communication mechanisms, the stronger their

    perceived behavioral control is.

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    Data

    Danisco and Chr. Hansen

    MANDI Questionnaire on Knowledge Sharing

    Response rate

    Danisco: 77.94%; 219 respondents

    Chr. Hansen: 72.75%; 251 respondents

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    Measures

    We usedperceptual

    measures for

    operationalization

    of all variables inthis study

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    Results

    2[127] = 311.5

    GFI = 0.93RMSEA= 0.05

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    Goodness-of-fit statistics for three

    competing specification of the model

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    Results: antecedents

    The decision not-to-share is individual, oftenrational and well justified from the perspective of

    the individual

    The intention to share knowledge is formed as a

    combination of the social influence (social norms),an individuals confidence in her ability to perform

    the knowledge sharing (perceived control), and

    the individuals own attitude toward sharing of

    knowledge (attitude).

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    Results: governance

    mechanisms

    A posi t ive feedbackon past instances ofknowledge sharing, being acknowledged of their

    contribution to the work of others and/or

    organizational development

    Availability and use of required resou rces and

    oppor tuni t ies to carry out and successfully

    complete that behavior

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    Results: BUT!

    Contrary to commonly accepted practices

    associated with knowledge management

    initiatives, a felt need for extr insic rewards

    may very well hinderthe development of

    favorable attitudes toward knowledge sharing

    Such a finding might simply be a reflection of

    the specific extrinsic rewards applied in two

    organizations

    Insights from Motivational Theory on the link

    between extrinsic motivation and performance(e.g. Vroom)

    Insights from Creativity Theory(e.g. Amabile)

    Rewards and knowledge sharing (e.g. Bock et al,

    2005; Minbaeva, Makela and Rabbiosi, 2010)

    Performance

    Rewards

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    Limitations Our limitations

    cross-sectional data

    two MNCs from Denmark

    using perceptual

    instruments

    Future studies longitudinal research

    a wider variety of firms

    the impact of the external

    environment (formal and

    informal institutions)

    more elaborate measures,

    combining perceptualones with some objective

    indicators

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    Implications

    The use of external rewards seems surprisinglyenough to be counterproductive in creating a

    positive attitude toward knowledge sharing.

    The interactions of governance mechanisms -

    complementar i ty effect(which could benegative, neutral or positive)

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    To conclude

    We need to push HRM scholars out of their

    natural comfort zone(Becker and Huselid, 2006:900)

    which assumes the aggregation of individuals,

    existence of an average individual and no

    differences in individual perception of external

    stimulus and reaction to that.