• DocumentCode
    2289442
  • Title

    Evolution game analysis of knowledge-sharing based on organization knowledge structure

  • Author

    Liu, Chen ; Zhang, Qing-Pu ; Shan, Wei

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    1110
  • Lastpage
    1115
  • Abstract
    Knowledge sharing is evolutionary dynamic process within organizations. This paper use evolutionary game theory to study the dynamics of knowledge sharing. First, organization knowledge structure was analyzed according to the organization members´ knowledge sets. Based on organization knowledge structure, knowledge sharing game is classed into four types, which are intersection, disjoint, superposition, inclusion, etc. Then, the replicator dynamics of knowledge sharing is built, and evolutionary stable strategy (ESS) of knowledge-sharing are analyzed. Results show that, to achieve high-level organization knowledge-sharing, the share strategy must be ESS and the initial state of organization must be in the stable region of ESS. Organization can adjust their knowledge structure and use proper excitation methods to get a well initial state for a high level of knowledge sharing.
  • Keywords
    evolutionary computation; game theory; knowledge management; organisational aspects; ESS; disjoint type; evolution game analysis; evolutionary dynamic process; evolutionary stable strategy; excitation method; inclusion type; intersection type; knowledge-sharing; organization knowledge structure; organization member knowledge set; replicator dynamics; superposition type; Aerodynamics; Asymptotic stability; Conference management; Electronic switching systems; Engineering management; Evolution (biology); Game theory; Knowledge engineering; Knowledge management; Technology management; evolutionary game analysis; evolutionary stable strategy; knowledge sharing; organization knowledge structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2009. ICMSE 2009. International Conference on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-1-4244-3970-6
  • Electronic_ISBN
    978-1-4244-3971-3
  • Type

    conf

  • DOI
    10.1109/ICMSE.2009.5318132
  • Filename
    5318132