• DocumentCode
    3406895
  • Title

    Product pricing game model under B2C market based on multi-agent system

  • Author

    Yin, Qiuju ; Li, Yankun ; Min, Lihui

  • Author_Institution
    Sch. of Manage. & Economic, Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1321
  • Lastpage
    1325
  • Abstract
    What pricing tactics a enterprise adopts is the key to keep its competence. Now, the online auction and reverse auction Web site are affecting the cost-oriented habit of pricing by the large-scale consumer group. This paper will analyze the influencing factors of B2C e-business product pricing from the views of enterprises and consumers, respectively, and establish the pricing game model based on MAS (multi-agent system). At last for the efficiency of B2C e-business market, the paper will make research on the algorithm and working processes of the game between enterprises and consumers. It will provide certain decision-making supports on product pricing for demand-oriented businesses.
  • Keywords
    decision making; electronic commerce; game theory; marketing; multi-agent systems; pricing; B2C e-business product pricing; B2C market; decision making; demand-oriented businesses; large-scale consumer group; multiagent system; online auction; product pricing game model; reverse auction Web site; Business; Costs; Forward contracts; Game theory; Intelligent agent; Intelligent systems; Large-scale systems; Multiagent systems; Pricing; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408117
  • Filename
    5408117