Robustness of a Distributed Knowledge Management Model

Mogens Kuhn Pedersen, Michael Holm Larsen

    Publikation: Working paperForskning

    9 Downloads (Pure)

    Resumé

    In globalizing competitive markets knowledge exchangebetween business organizations requires incentivemechanisms to ensure tactical purposes while strategicpurposes are subject to joint organization and otherforms of contractual obligations. Where property ofknowledge (e.g. patents and copyrights) and contractbasedknowledge exchange do not obtain networkeffectiveness because of prohibitive transaction costs inreducing uncertainty, we suggest a robust model for peerproduced knowledge within a distributed setting. Thepeer produced knowledge exchange model relies upon adouble loop knowledge conversion with symmetricincentives in a network since the production of actorspecific knowledge makes any knowledge appropriationby use of property rights by the actors irrelevant. Withoutproperty rights in knowledge the actor network generatesopportunity for incentive symmetry over a period of time.The model merges specific knowledge with knowledgefrom other actors into a decision support system specificfor each actor in the network in recognition of actor roledifferences. The article suggests a set of 9 static and 5dynamic propositions for the model to maintainsymmetric incentives between different actor networks.The model is proposed for business networks.
    OriginalsprogEngelsk
    Udgivelses stedFrederiksberg
    UdgiverDepartment of Informatics INF, Copenhagen Business School
    Antal sider12
    StatusUdgivet - 2003
    NavnWorking Paper / Institut for Informatik. Handelshøjskolen i København
    Nummer13
    ISSN1399-1779

    Citer dette

    Pedersen, M. K., & Holm Larsen, M. (2003). Robustness of a Distributed Knowledge Management Model. Frederiksberg: Department of Informatics INF, Copenhagen Business School. Working Paper / Institut for Informatik. Handelshøjskolen i København, Nr. 13
    Pedersen, Mogens Kuhn ; Holm Larsen, Michael. / Robustness of a Distributed Knowledge Management Model. Frederiksberg : Department of Informatics INF, Copenhagen Business School, 2003. (Working Paper / Institut for Informatik. Handelshøjskolen i København; Nr. 13).
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    Pedersen, MK & Holm Larsen, M 2003 'Robustness of a Distributed Knowledge Management Model' Department of Informatics INF, Copenhagen Business School, Frederiksberg.

    Robustness of a Distributed Knowledge Management Model. / Pedersen, Mogens Kuhn; Holm Larsen, Michael.

    Frederiksberg : Department of Informatics INF, Copenhagen Business School, 2003.

    Publikation: Working paperForskning

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    AB - In globalizing competitive markets knowledge exchange between business organizations requires incentive mechanisms to ensure tactical purposes while strategic purposes are subject to joint organization and other forms of contractual obligations. Where property of knowledge (e.g. patents and copyrights) and contractbased knowledge exchange do not obtain network effectiveness because of prohibitive transaction costs in reducing uncertainty, we suggest a robust model for peer produced knowledge within a distributed setting. The peer produced knowledge exchange model relies upon a double loop knowledge conversion with symmetric incentives in a network since the production of actor specific knowledge makes any knowledge appropriation by use of property rights by the actors irrelevant. Without property rights in knowledge the actor network generates opportunity for incentive symmetry over a period of time. The model merges specific knowledge with knowledge from other actors into a decision support system specific for each actor in the network in recognition of actor role differences. The article suggests a set of 9 static and 5 dynamic propositions for the model to maintain symmetric incentives between different actor networks. The model is proposed for business networks.

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    Pedersen MK, Holm Larsen M. Robustness of a Distributed Knowledge Management Model. Frederiksberg: Department of Informatics INF, Copenhagen Business School. 2003.