Robustness of a Distributed Knowledge Management Model

Mogens Kühn Pedersen and Michael Holm Larsen
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Mogens Kühn Pedersen: Department of Informatics, Copenhagen Business School, Postal: Department of Informatics, Copenhagen Business School, Howitzvej 60 , DK-2000 Frederiksberg, Denmark
Michael Holm Larsen: Department of Informatics, Copenhagen Business School, Postal: Department of Informatics, Copenhagen Business School, Howitzvej 60 , DK-2000 Frederiksberg, Denmark

No 2002-13, Working Papers from Copenhagen Business School, Department of Informatics

Abstract: 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.

Keywords: na (search for similar items in EconPapers)
JEL-codes: H00 (search for similar items in EconPapers)
Pages: 12 pages
Date: 2009-03-18
New Economics Papers: this item is included in nep-cse and nep-knm
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