• DocumentCode
    2781889
  • Title

    Knowledge Sharing within Innovation Network Members with Netlogo Simulation Platform

  • Author

    Ruan Guoxiang ; Ruan Pingnan

  • Author_Institution
    Sch. of Manage., Shandong Inst. of Bus. & Technol., Yantai, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    210
  • Lastpage
    213
  • Abstract
    The efficient knowledge sharing is the key element for innovation network\´s success. The strategies are classified as "sharing", "no-sharing" and "retaliation". The game model of knowledge sharing is set up in terms of the evolutionary game theory. The simulation model is constructed with the Net logo software platform which is efficient in multi-agent simulation. By modeling and simulation, the evolutionary game equilibrium status of knowledge sharing is analyzed according to different payoff value. The result demonstrates that communication, trust and punishment are all important governance mechanisms for knowledge sharing in innovation network.
  • Keywords
    evolutionary computation; game theory; knowledge management; multi-agent systems; Netlogo simulation platform; Netlogo software platform; evolutionary game equilibrium status; evolutionary game theory; game model; innovation network members; knowledge sharing; multiagent simulation; Analytical models; Economics; Educational institutions; Game theory; Games; Knowledge engineering; Technological innovation; Netlogo; evolutionary game; innovation network; knowledge sharing; retaliation strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.86
  • Filename
    6113504