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Gaining by ceding ‐ bounded wholesale pricing for information sharing in a supply chain

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  • Tian Li
  • Hongtao Zhang

Abstract

The extant research on supply chain information sharing under wholesale pricing often assumes a model where the manufacturer can unilaterally set any wholesale price, and the retailer decides retail quantity or price while taking the wholesale price as given. Whereas this model may actually reflect the relative market power in some situations, its implementation misses out on certain win–win opportunities that could arise from information sharing. We propose a new wholesale pricing mechanism that promotes information sharing between a relatively weaker retailer and a more powerful manufacturer such that both parties become better off. The novel feature of the new mechanism is an extra stage of interaction, which happens before the retailer's information sharing decision: at the very outset the manufacturer and the retailer reach a contractual agreement on an upper bound which the wholesale price will not exceed if the retailer shares his information. This new, easily implementable, mechanism can be a win–win for both supply chain firms. In other words, facing market uncertainty, the manufacturer, while having the market power to dictate the wholesale price, can gain from a contractual restriction on the exercise of that power in order to induce the retailer, who is in a weaker position, to share useful demand information.

Suggested Citation

  • Tian Li & Hongtao Zhang, 2023. "Gaining by ceding ‐ bounded wholesale pricing for information sharing in a supply chain," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 829-843, March.
  • Handle: RePEc:bla:popmgt:v:32:y:2023:i:3:p:829-843
    DOI: 10.1111/poms.13901
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    References listed on IDEAS

    as
    1. Paul Milgrom & Ilya Segal, 2002. "Envelope Theorems for Arbitrary Choice Sets," Econometrica, Econometric Society, vol. 70(2), pages 583-601, March.
    2. Baojun Jiang & Lin Tian & Yifan Xu & Fuqiang Zhang, 2016. "To Share or Not to Share: Demand Forecast Sharing in a Distribution Channel," Marketing Science, INFORMS, vol. 35(5), pages 800-809, September.
    3. Liang Guo & Ganesh Iyer, 2010. "Information Acquisition and Sharing in a Vertical Relationship," Marketing Science, INFORMS, vol. 29(3), pages 483-506, 05-06.
    4. Esther Gal-Or & Tansev Geylani & Anthony J. Dukes, 2008. "Information Sharing in a Channel with Partially Informed Retailers," Marketing Science, INFORMS, vol. 27(4), pages 642-658, 07-08.
    5. Lode Li & Hongtao Zhang, 2008. "Confidentiality and Information Sharing in Supply Chain Coordination," Management Science, INFORMS, vol. 54(8), pages 1467-1481, August.
    6. Albert Y. Ha & Shilu Tong & Hongtao Zhang, 2011. "Sharing Demand Information in Competing Supply Chains with Production Diseconomies," Management Science, INFORMS, vol. 57(3), pages 566-581, March.
    7. Li, Tian & Zhang, Hongtao, 2015. "Information sharing in a supply chain with a make-to-stock manufacturer," Omega, Elsevier, vol. 50(C), pages 115-125.
    8. Liang Guo, 2009. "The Benefits of Downstream Information Acquisition," Marketing Science, INFORMS, vol. 28(3), pages 457-471, 05-06.
    9. Bian, Wenliang & Shang, Jennifer & Zhang, Juliang, 2016. "Two-way information sharing under supply chain competition," International Journal of Production Economics, Elsevier, vol. 178(C), pages 82-94.
    10. Zhuoxin Li & Stephen M. Gilbert & Guoming Lai, 2014. "Supplier Encroachment Under Asymmetric Information," Management Science, INFORMS, vol. 60(2), pages 449-462, February.
    11. Hyoduk Shin & Tunay I. Tunca, 2010. "Do Firms Invest in Forecasting Efficiently? The Effect of Competition on Demand Forecast Investments and Supply Chain Coordination," Operations Research, INFORMS, vol. 58(6), pages 1592-1610, December.
    12. Gérard P. Cachon & Pnina Feldman, 2015. "Price Commitments with Strategic Consumers: Why It Can Be Optimal to Discount More Frequently … Than Optimal," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 399-410, July.
    13. Junjie Zhou & Xiaoshuai Fan & Ying-Ju Chen & Christopher S. Tang, 2021. "Information Provision and Farmer Welfare in Developing Economies," Manufacturing & Service Operations Management, INFORMS, vol. 23(1), pages 230-245, 1-2.
    14. Bian, Junsong & Guo, Xiaolei & Lai, Kin Keung & Hua, Zhongsheng, 2014. "The strategic peril of information sharing in a vertical-Nash supply chain: A note," International Journal of Production Economics, Elsevier, vol. 158(C), pages 37-43.
    15. Song Huang & Xu Guan & Ying†Ju Chen, 2018. "Retailer Information Sharing with Supplier Encroachment," Production and Operations Management, Production and Operations Management Society, vol. 27(6), pages 1133-1147, June.
    16. Albert Y. Ha & Huajiang Luo & Weixin Shang, 2022. "Supplier Encroachment, Information Sharing, and Channel Structure in Online Retail Platforms," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1235-1251, March.
    17. Mahesh Nagarajan & Yehuda Bassok, 2008. "A Bargaining Framework in Supply Chains: The Assembly Problem," Management Science, INFORMS, vol. 54(8), pages 1482-1496, August.
    18. Leon Yang Chu & Noam Shamir & Hyoduk Shin, 2017. "Strategic Communication for Capacity Alignment with Pricing in a Supply Chain," Management Science, INFORMS, vol. 63(12), pages 4366-4377, December.
    19. Vernon N. Hsu & Guoming Lai & Baozhuang Niu & Wenqiang Xiao, 2017. "Leader-Based Collective Bargaining: Cooperation Mechanism and Incentive Analysis," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 72-83, February.
    20. Zekun Liu & Dennis J. Zhang & Fuqiang Zhang, 2021. "Information Sharing on Retail Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 606-619, May.
    21. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    22. Weixin Shang & Albert Y. Ha & Shilu Tong, 2016. "Information Sharing in a Supply Chain with a Common Retailer," Management Science, INFORMS, vol. 62(1), pages 245-263, January.
    23. Xuanming Su & Fuqiang Zhang, 2008. "Strategic Customer Behavior, Commitment, and Supply Chain Performance," Management Science, INFORMS, vol. 54(10), pages 1759-1773, October.
    24. Noam Shamir & Hyoduk Shin, 2016. "Public Forecast Information Sharing in a Market with Competing Supply Chains," Management Science, INFORMS, vol. 62(10), pages 2994-3022, October.
    25. Vernon N. Hsu & Guoming Lai & Baozhuang Niu & Wenqiang Xiao, 2017. "Leader-Based Collective Bargaining: Cooperation Mechanism and Incentive Analysis," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 72-83, February.
    26. Ruomeng Cui & Gad Allon & Achal Bassamboo & Jan A. Van Mieghem, 2015. "Information Sharing in Supply Chains: An Empirical and Theoretical Valuation," Management Science, INFORMS, vol. 61(11), pages 2803-2824, November.
    27. Özalp Özer & Yanchong Zheng & Kay-Yut Chen, 2011. "Trust in Forecast Information Sharing," Management Science, INFORMS, vol. 57(6), pages 1111-1137, June.
    28. Albert Y. Ha & Quan Tian & Shilu Tong, 2017. "Information Sharing in Competing Supply Chains with Production Cost Reduction," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 246-262, May.
    29. Albert Y. Ha & Shilu Tong, 2008. "Contracting and Information Sharing Under Supply Chain Competition," Management Science, INFORMS, vol. 54(4), pages 701-715, April.
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