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The Perils of Sharing Information in a Trade Association under a Strategic Wholesale Price

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  • Noam Shamir
  • Hyoduk Shin

Abstract

We study the incentives of a group of retailers, organized as a trade association and sourcing the product from a single manufacturer, to exchange private forecast information. We compare two widely used policies by the trade association in practice: exclusionary information exchange and non‐exclusionary information exchange. Under the exclusionary policy, only retailers who contribute their private information are exposed to the pool of shared information, whereas under the non‐exclusionary policy, all of the members of the trade association are exposed to the pool of shared information regardless of any contribution to this pool. We show that when the wholesale price is exogenous, the retailers have an incentive to share information under both policies. However, when the manufacturer is aware of the exchange of information among the retailers, she sets the wholesale price more aggressively, even without being exposed to the actual shared information. This wholesale pricing effect reduces the retailers' incentives to share information to such extent that under the non‐exclusionary policy, no information is shared in equilibrium. Under the exclusionary policy, it is possible to reach a full information‐sharing equilibrium, but this equilibrium can make the retailers worse‐off compared with the case in which no information is shared. Furthermore, it is also possible for the manufacturer to become worse‐off when the retailers share information. We also discuss the effect of market size on the incentives of the retailers to exchange information and how by committing to a certain wholesale price level early, the manufacturer can induce the retailers to exchange information.

Suggested Citation

  • Noam Shamir & Hyoduk Shin, 2018. "The Perils of Sharing Information in a Trade Association under a Strategic Wholesale Price," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 1978-1995, November.
  • Handle: RePEc:bla:popmgt:v:27:y:2018:i:11:p:1978-1995
    DOI: 10.1111/poms.12603
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    Cited by:

    1. Avinadav, Tal & Shamir, Noam, 2021. "The effect of information asymmetry on ordering and capacity decisions in supply chains," European Journal of Operational Research, Elsevier, vol. 292(2), pages 562-578.
    2. Avinadav, Tal & Levy, Priel, 2022. "Value of information in a mobile app supply chain under hidden or known information superiority," International Journal of Production Economics, Elsevier, vol. 248(C).
    3. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
    4. Albert Y. Ha & Weixin Shang & Yunjie Wang, 2023. "Supplier Audit Information Sharing and Responsible Sourcing," Management Science, INFORMS, vol. 69(1), pages 308-324, January.
    5. Shi, Chun-lai & Geng, Wei, 2021. "To introduce a store brand or not: Roles of market information in supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    6. Liang, Lunhai & Ye, Fei, 2024. "Information transparency and business mode selection in online platforms under manufacturer competition," Journal of Business Research, Elsevier, vol. 170(C).
    7. Tianjian Yang & Chunmei Li & Xiongping Yue & Beibei Zhang, 2022. "Decisions for Blockchain Adoption and Information Sharing in a Low Carbon Supply Chain," Mathematics, MDPI, vol. 10(13), pages 1-23, June.
    8. Peng Liu & Rong Zhang & Bin Liu, 2023. "Information sharing under agency selling in an e-commerce supply chain with competing OEMs," Operational Research, Springer, vol. 23(3), pages 1-27, September.

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