• DocumentCode
    2286179
  • Title

    Evolutionary game analysis on defensive competitive intelligence between peer inter-enterprises

  • Author

    Wang Lei ; Zhang, Qing-Pu

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    In this paper, we use evolutionary game theory to build an evolutionary game model for peer inter-enterprise and analyze the evolutionary process and evolutionary stable strategy of implementing defensive competitive intelligence. It shows that when the costs of collecting and protecting invested by the peer inter-enterprises less than the costs of benefits competed by two sides, the long-run equilibrium results of peer inter-enterprises tends to be Tit-for-Tat stable strategies. And, which kind of stable Tit-for-Tat strategy to be chose decided by game payoff matrix and the initial system state influence of peer inter-enterprises. We also conclude that reduce the costs of protecting information in order to increase the benefits caused by implementing the strategy of protecting information appropriately can promote peer inter-enterprise defensive competitive intelligence.
  • Keywords
    competitive intelligence; evolutionary computation; game theory; matrix algebra; Tit-for-Tat stable strategy; defensive competitive intelligence; evolutionary game theory; evolutionary process analysis; game payoff matrix; initial system state influence; peer inter-enterprise; protection information cost; Competitive intelligence; Conference management; Costs; Decision making; Engineering management; Evolution (biology); Game theory; Jacobian matrices; Protection; Technology management; Jacobian matrix; defensive competitive intelligence; evolutionary game; phase diagram;
  • 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.2009.5317501
  • Filename
    5317501