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Supply Contracting with Risk‐Sensitive Retailers under Information Asymmetry: An Exploratory Behavioral Study

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  • Pui‐Sze Chow
  • Tsan‐Ming Choi
  • Bin Shen
  • Jinhui Zheng

Abstract

In this paper, we explore a two‐echelon supply chain with one upstream seller (supplier) and two downstream retailers selling a newsvendor type of fashion product. The retailers are the same except their degrees of risk sensitivity. In this supply chain, we examine the performance of the buyback contract via behavioral experiments in which the supplier is played by human subjects and the risk‐sensitive retailers are computerized. We study the effect of profit margin and also demand dispersion under different game scenarios. Our behavioral experiments reveal that the human suppliers can be classified into three types, namely type I (the highly consistent and rational players), type II (the highly strategic players), and type III (naïve and highly irrational players). We further generate a few insights: (i) Decision‐makers behave as type II players in the low profit margin scenarios but not in the high profit margin cases; (ii) there are no significant pieces of evidence on the existence of the demand dispersion effect and the game type effect on both type I and type III players; and (iii) the average profits earned by type I and type II decision‐makers are similar, whereas type III decision‐makers are the smallest in almost all cases. We believe that this paper provides many new insights on supply contracting with reference to the behavioral risk of human decision‐makers. Copyright © 2014 John Wiley & Sons, Ltd.

Suggested Citation

  • Pui‐Sze Chow & Tsan‐Ming Choi & Bin Shen & Jinhui Zheng, 2014. "Supply Contracting with Risk‐Sensitive Retailers under Information Asymmetry: An Exploratory Behavioral Study," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 554-564, July.
    • Handle: RePEc:bla:srbeha:v:31:y:2014:i:4:p:554-564
    DOI: 10.1002/sres.2298
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    References listed on IDEAS

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    1. Elena Katok & Diana Yan Wu, 2009. "Contracting in Supply Chains: A Laboratory Investigation," Management Science, INFORMS, vol. 55(12), pages 1953-1968, December.
    2. Choi, Tsan-Ming & Li, Duan & Yan, Houmin, 2008. "Mean-variance analysis of a single supplier and retailer supply chain under a returns policy," European Journal of Operational Research, Elsevier, vol. 184(1), pages 356-376, January.
    3. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    4. Wei, Ying & Choi, Tsan-Ming, 2010. "Mean-variance analysis of supply chains under wholesale pricing and profit sharing schemes," European Journal of Operational Research, Elsevier, vol. 204(2), pages 255-262, July.
    5. Claudia Keser & Giuseppe A. Paleologo, 2004. "Experimental Investigation of Supplier-Retailer Contracts: The Wholesale Price Contract," CIRANO Working Papers 2004s-57, CIRANO.
    6. Lau, Hon-Shiang & Lau, Amy Hing-Ling, 1999. "Manufacturer's pricing strategy and return policy for a single-period commodity," European Journal of Operational Research, Elsevier, vol. 116(2), pages 291-304, July.
    7. WEI, Ying & CHOI, Tsan-Ming, 2010. "Mean-variance analysis of supply chains under wholesale pricing and profit sharing schemes," LIDAM Reprints CORE 2186, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Andrew M. Davis & Elena Katok & Natalia Santamaría, 2014. "Push, Pull, or Both? A Behavioral Study of How the Allocation of Inventory Risk Affects Channel Efficiency," Management Science, INFORMS, vol. 60(11), pages 2666-2683, November.
    9. Gary E. Bolton & Elena Katok, 2008. "Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 519-538, September.
    10. Wu, Diana Yan, 2013. "The impact of repeated interactions on supply chain contracts: A laboratory study," International Journal of Production Economics, Elsevier, vol. 142(1), pages 3-15.
    11. Basak Kalkanci & Kay-Yut Chen & Feryal Erhun, 2011. "Contract Complexity and Performance Under Asymmetric Demand Information: An Experimental Evaluation," Management Science, INFORMS, vol. 57(4), pages 689-704, April.
    12. Xiaojun Shi & Hiroshi Tsuji & Shunming Zhang, 2012. "Introducing Heterogeneity of Managers' Attitude into Behavioral Risk Scoring for Software Offshoring," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(3), pages 299-316, May.
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    Cited by:

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    2. Ruina Yang & Lijun Ma, 2017. "Two-part tariff contracting with competing unreliable suppliers in a supply chain under asymmetric information," Annals of Operations Research, Springer, vol. 257(1), pages 559-585, October.
    3. Niu, Baozhuang & Dai, Zhipeng & Zhuo, Xiaopo, 2019. "Co-opetition effect of promised-delivery-time sensitive demand on air cargo carriers’ big data investment and demand signal sharing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 29-44.

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