• DocumentCode
    2099488
  • Title

    The method of eliminating information asymmetry in supply chains

  • Author

    Sun Duoqing ; Wang Li

  • Author_Institution
    Inst. of Math. & Syst. Sci., Hebei Normal Univ. of Sci. & Technol., Qinhuangdao, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    5574
  • Lastpage
    5578
  • Abstract
    The Sequential Belief Revision is one of the effective methods of eliminating information asymmetry in supply chains. The paper studies the method of eliminating information asymmetry when a retailer has the private information about the demand and the supplier only partially knows the retailer´s optimal decisions, which is in the condition that the supply chain is composed of only a single supplier and retailer and demand quantity is a linear function of retail price. The paper studies a multi-stage Bayesian model that considers retail´s cost, and the information asymmetry is eliminated by using Sequential Belief Revisions method. The analysis shows that information of suppliers converges in probability to private information of retailers, the asymmetric information game will also converge in probability to the symmetric information game, and the both convergence results have nothing to do with the initial belief. This paper shows that this method makes supply chain operations more effective and fits general situation to eliminate information asymmetry.
  • Keywords
    game theory; pricing; probability; retailing; supply chain management; asymmetric information game; information asymmetry elimination; multistage Bayesian model; retail price; retailer optimal decisions; sequential belief revisions method; supply chains; Artificial neural networks; Bayesian methods; Chromium; Electronic mail; Games; Supply chains; Incentive mechanism; Information asymmetry; Sequential Bayesian analysis; Supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573132