• DocumentCode
    2450958
  • Title

    Multi-agent Based Simulation of Negotiate Pricing Process in B2C

  • Author

    Yin, Qiuju ; Li, Yankun ; Zhi, Kun

  • Author_Institution
    Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    Product pricing is an important step during the transaction of E-business. Nowadays, most pricing process researches are just from single aspect of business, which leads to ignore customers´ effect on pricing process. In the paper, the negotiating pricing process in the B2C environment between the business and the customers is studied, a pricing model based on MAS is established. Moreover, a simulation of negotiating pricing process using Net logo is run to test some factors´ (including the number of the business, the number of the customers, the purchasing power and the cost) effect to the pricing result and the market efficiency. The result of this paper will provide a support for the E-business market managers to make strategies to improve the market efficiency to some extent.
  • Keywords
    customer services; electronic commerce; multi-agent systems; pricing; B2C; MAS; customers; e-business; multi-agent simulation; negotiating pricing process; Analytical models; Biological system modeling; Data models; Knowledge based systems; Pricing; Probability distribution; B2C; Multi-agent; NetLogo simulation; Pricing Process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.32
  • Filename
    5708701