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Multidimensional Bargaining and Inventory Risk in Supply Chains: An Experimental Study

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  • Andrew M. Davis

    (Samuel Curtis Johnson Graduate School of Management, Cornell SC Johnson College of Business, Cornell University, Ithaca, New York 14853)

  • Kyle Hyndman

    (Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080)

Abstract

We study the impact of multidimensional bargaining and the location of inventory risk on the performance of a two-stage supply chain. We conduct a controlled human subjects experiment where a retailer and supplier either interact through ultimatum offers or dynamically bargain over contract terms, including a wholesale price and, potentially, an order quantity. We also manipulate whether the risk associated with unsold inventory lies with the retailer or the supplier or is endogenously determined in the bargaining process. One key insight is that supply chain efficiency is significantly higher when the order quantity is included in the negotiation and that, contrary to the normative theory, this leads to a Pareto improvement whereby both the supplier and retailer earn higher profits. A second important result, also counter to the normative theory, is that the party incurring the cost of unsold inventory always earns a lower profit than its counterpart, regardless of the bargaining environment or inventory risk location. To explain these data, we posit that retailers and suppliers are affected by an anchoring bias and demonstrate that it can explain many of our results.

Suggested Citation

  • Andrew M. Davis & Kyle Hyndman, 2019. "Multidimensional Bargaining and Inventory Risk in Supply Chains: An Experimental Study," Management Science, INFORMS, vol. 65(3), pages 1286-1304, March.
  • Handle: RePEc:inm:ormnsc:v:65:y:2019:i:3:p:1286-1304
    DOI: 10.1287/mnsc.2017.2985
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    References listed on IDEAS

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    Cited by:

    1. Andrew M. Davis & Bin Hu & Kyle Hyndman & Anyan Qi, 2022. "Procurement for Assembly Under Asymmetric Information: Theory and Evidence," Management Science, INFORMS, vol. 68(4), pages 2694-2713, April.
    2. Dong, Binwei & Ren, Yufei & McIntosh, Christopher, 2023. "A co-opetitive newsvendor model with product substitution and a wholesale price contract," European Journal of Operational Research, Elsevier, vol. 311(2), pages 502-514.
    3. Ewa Kulinska & Dariusz Maslowski & Małgorzata Dendera-Gruszka, 2021. "The Concept of Industry Supply Chains – A Pilot Study," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 617-627.
    4. Hyndman, Kyle, 2021. "Dissolving partnerships under risk: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 702-720.
    5. Yang, Huixiao & Chen, Wenbo, 2020. "Game modes and investment cost locations in radio-frequency identification (RFID) adoption," European Journal of Operational Research, Elsevier, vol. 286(3), pages 883-896.
    6. Xiaogang Ma & Chunyu Bao & Jizi Li & Wandong Lou, 2022. "The impact of dual fairness concerns on bargaining game and its dynamic system stability," Annals of Operations Research, Springer, vol. 318(1), pages 357-382, November.
    7. Du, Yanan & Wang, Qingxi & Zhou, Jianping, 2023. "How does digital inclusive finance affect economic resilience: Evidence from 285 cities in China," International Review of Financial Analysis, Elsevier, vol. 88(C).
    8. Hyndman, Kyle, 2023. "Dynamic fairness in repeated bargaining with risk," Journal of Economic Psychology, Elsevier, vol. 94(C).
    9. Ying Zhang & Jayashankar M. Swaminathan, 2020. "Warehouse Location in An Emerging Country: A Win–Win Proposition?," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1487-1505, June.
    10. Karen Donohue & Özalp Özer, 2020. "Behavioral Operations: Past, Present, and Future," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 191-202, January.

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