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Bargaining in Supply Chains

Author

Listed:
  • Stephen Leider

    (Ross School of Business, University of Michigan, Ann Arbor, Michigan 48104)

  • William S. Lovejoy

    (Ross School of Business, University of Michigan, Ann Arbor, Michigan 48104)

Abstract

We study experimentally bargaining in a multiple-tier supply chain with horizontal competition and sequential bargaining between tiers. Our treatments vary the cost differences between firms in tiers 1 and 2. We measure how these underlying costs influence the efficiency, negotiated prices, and profit distribution across the supply chain, as well as the consistency of these outcomes with existing theory. We find that the structural issue of cost differentials dominates personal characteristics in explaining outcomes, with profits in a tier generally increasing with decreased competition in the tier and increasing with decreased competition in alternate tiers. The balanced principal model of supply chain bargaining does a good job explaining our data, and it outperforms the common assumption of leader–follower negotiations. We find a significant anchoring effect from a firm’s first bid but no effect of the sequence of those bids, no evidence of failure to close via escalation of commitment, and mixed results for a deadline effect. We also find an interesting asymmetry between the buy and sell sides in employed bidding strategy. All firms make predominantly concessionary offers after the initial anchor; however, sell-side firms that engage in aggressive anticoncessionary bidding successfully increase prices while not compromising closure rates. Buy-side firms achieve much smaller price changes from anticoncessionary tactics and risk reduced closure, yielding no net benefit. This paper was accepted by Yossi Aviv, operations management .

Suggested Citation

  • Stephen Leider & William S. Lovejoy, 2016. "Bargaining in Supply Chains," Management Science, INFORMS, vol. 62(10), pages 3039-3058, October.
  • Handle: RePEc:inm:ormnsc:v:62:y:2016:i:10:p:3039-3058
    DOI: 10.1287/mnsc.2015.2273
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    References listed on IDEAS

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    Cited by:

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    3. Gao, Yongling & Driouchi, Tarik & Bennett, David J., 2018. "Ambiguity aversion in buyer-seller relationships: A contingent-claims and social network explanation," International Journal of Production Economics, Elsevier, vol. 200(C), pages 50-67.
    4. 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.
    5. 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.
    6. Srinivasa, Aditya Korekallu & Praveen, K.V. & Subash, S.P. & Nithyashree, ML & Jha, Girish Kumar, 2021. "Does a Farmer’s Knowledge of Minimum Support Price (MSP) Affect the Farm-Gate Price? Evidence from India," 2021 Conference, August 17-31, 2021, Virtual 315205, International Association of Agricultural Economists.
    7. Deck, Cary A. & Thomas, Charles J., 2020. "Using experiments to compare the predictive power of models of multilateral negotiations," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    8. Sandro Shelegia & Joshua Sherman, 2022. "Bargaining at Retail Stores: Evidence from Vienna," Management Science, INFORMS, vol. 68(1), pages 27-36, January.
    9. 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.
    10. Tsan-Ming Choi, 2018. "Impacts of retailer’s risk averse behaviors on quick response fashion supply chain systems," Annals of Operations Research, Springer, vol. 268(1), pages 239-257, September.
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