• DocumentCode
    2435515
  • Title

    Research on Participant´s Behavior of C2C´s Credit Evaluation System Based on the Evolutionary Game Theory

  • Author

    Jun, Sun ; Xiao-Xue, Hu

  • Author_Institution
    Econ. & Manage. Dept., Beijing Univ. of Chem. Technol., Beijing, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    2101
  • Lastpage
    2104
  • Abstract
    Existing C2C´s credit evaluation system is an important tool to help buyers and sellers who make transactions online to regulate their credit. Since sellers´credit, which imposes profound reference for buyers to decide whether to purchase or not, to safeguard their own interests, some sellers use a variety of ways to undermine the credit evaluation system after they received a bad evaluation from the buyer. By applying evolutionary game theory, this paper simulates the online trading mutual credit evaluation process. An evolutionary game model between buyers and sellers is built to study and analyze the evolving process of participant´s behavior and key factors affecting evolutionary stability. It promotes government and the Third-party platform to make effective decisions maintaining the authenticity of the credit evaluation system.
  • Keywords
    credit transactions; evolutionary computation; game theory; C2C credit evaluation system; evolutionary game theory; evolutionary stability; government; online trading mutual credit evaluation process; participant behavior; third-party platform; Analytical models; Biological system modeling; Chemical technology; Economics; Equations; Game theory; Games; C2C´s credit evaluation; evolutionary game theory; participant´s behavior; replicated dynamic equation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.531
  • Filename
    5592617