• DocumentCode
    1658339
  • Title

    Notice of Retraction
    Performance of forecasting information sharing in dual-channel supply Chain

  • Author

    Li Shujuan ; Zhang Zigang ; Lu Jianfei

  • Author_Institution
    Sch. of Manage., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    3
  • fYear
    2010
  • Firstpage
    133
  • Lastpage
    137
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    To measure forecasting information´s impct on performance of dual-channel supply chain, this paper establishes a two-level dual-channel supply chain model. According to Stackelberg game, performances of forecasting information on manufacturer and retailer were investigated. The optimal pricing strategies of two cases-information sharing case and non-information sharing case are compared. The impact of forecasting information´s accuracy and channel competition on retail´s information-sharing decision are revealed. It concludes that manufacturer´s forecasting information is shared by retailer passively. Retailer can benefit from the information-sharing and has the motive to share their private information within certain conditions.
  • Keywords
    forecasting theory; pricing; supply chain management; Stackelberg game; dual-channel supply chain; forecasting information sharing; optimal pricing strategies; retail information-sharing decision; Computer aided software engineering; Forecasting; channel competition; dual-channel; information sharing; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Management Science (ICAMS), 2010 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6931-4
  • Type

    conf

  • DOI
    10.1109/ICAMS.2010.5553269
  • Filename
    5553269