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Sourcing decisions with loss aversion under yield and demand randomness

Author

Listed:
  • Qingwei Wang

    (Shanghai Jiao Tong University)

  • Meimei Zheng

    (Shanghai Jiao Tong University)

  • Wei Weng

    (Kanazawa University)

Abstract

Yield and demand randomness are common in the industry, and loss aversion has been regarded as an inherent behavior for decision-makers. We combine these two factors and investigate a retailer’s ordering decisions under both yield and demand randomness with loss aversion. Before the selling season, the demand is unknown and the loss-averse retailer places an order from an unreliable supplier with an uncertain yield rate. After the demand and supply from the unreliable supplier are known, the retailer can carry out emergency replenishment from a spot market during the selling season. We characterize the retailer’s optimal ordering decisions in three scenarios: (1) the retailer is risk-neutral; (2) the retailer is loss-averse and has a zero reference profit; (3) the retailer is loss-averse and has a nonzero fixed reference profit (FRP). We compare the retailer’s order quantities in the three scenarios and find that the order quantity of the loss-averse retailer with a zero reference profit is always lower than that of the risk-neutral retailer. However, the order quantity of the loss-averse retailer with a nonzero fixed reference profit is higher than that of the risk-neutral retailer when the salvage value is sufficiently large. Interestingly, we find that the loss-averse retailer’s optimal order quantity decreases with the reference profit and increases with the loss-averse degree and the maximum fulfillment rate from the unreliable supplier under some conditions. We investigate these conditions under a uniform demand distribution. We further study the ordering quantity of the retailer with a prospect-dependent reference point (PRP) and compare the results under FRP and PRP.

Suggested Citation

  • Qingwei Wang & Meimei Zheng & Wei Weng, 2023. "Sourcing decisions with loss aversion under yield and demand randomness," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 661-710, June.
    • Handle: RePEc:spr:orspec:v:45:y:2023:i:2:d:10.1007_s00291-022-00701-z
    DOI: 10.1007/s00291-022-00701-z
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    as
    1. Hu, Benyong & Feng, Yi, 2017. "Optimization and coordination of supply chain with revenue sharing contracts and service requirement under supply and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 185-193.
    2. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    3. Mahesh Nagarajan & Steven Shechter, 2014. "Prospect Theory and the Newsvendor Problem," Management Science, INFORMS, vol. 60(4), pages 1057-1062, April.
    4. Liu, Wei & Song, Shiji & Wu, Cheng, 2013. "Impact of loss aversion on the newsvendor game with product substitution," International Journal of Production Economics, Elsevier, vol. 141(1), pages 352-359.
    5. 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.
    6. Xiaoyang Long & Javad Nasiry, 2015. "Prospect Theory Explains Newsvendor Behavior: The Role of Reference Points," Management Science, INFORMS, vol. 61(12), pages 3009-3012, December.
    7. Mordechai Henig & Yigal Gerchak, 1990. "The Structure of Periodic Review Policies in the Presence of Random Yield," Operations Research, INFORMS, vol. 38(4), pages 634-643, August.
    8. Castañeda, Jaime Andrés & Brennan, Mark & Goentzel, Jarrod, 2019. "A behavioral investigation of supply chain contracts for a newsvendor problem in a developing economy," International Journal of Production Economics, Elsevier, vol. 210(C), pages 72-83.
    9. Wang, Charles X., 2010. "The loss-averse newsvendor game," International Journal of Production Economics, Elsevier, vol. 124(2), pages 448-452, April.
    10. Becker-Peth, Michael & Thonemann, Ulrich W., 2016. "Reference points in revenue sharing contracts—How to design optimal supply chain contracts," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1033-1049.
    11. Michael Becker-Peth & Elena Katok & Ulrich W. Thonemann, 2013. "Designing Buyback Contracts for Irrational But Predictable Newsvendors," Management Science, INFORMS, vol. 59(8), pages 1800-1816, August.
    12. Lei Xie & Junhai Ma & Mark Goh, 2021. "Supply chain coordination in the presence of uncertain yield and demand," International Journal of Production Research, Taylor & Francis Journals, vol. 59(14), pages 4342-4358, July.
    13. Wu, Meng & Bai, Tian & Zhu, Stuart X., 2018. "A loss averse competitive newsvendor problem with anchoring," Omega, Elsevier, vol. 81(C), pages 99-111.
    14. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    15. Kemel, Emmanuel & Paraschiv, Corina, 2013. "Prospect Theory for joint time and money consequences in risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 81-95.
    16. Mohammed Abdellaoui & Han Bleichrodt & Corina Paraschiv, 2007. "Loss Aversion Under Prospect Theory: A Parameter-Free Measurement," Management Science, INFORMS, vol. 53(10), pages 1659-1674, October.
    17. Zare, Marjan & Esmaeili, Maryam & He, Yuanjie, 2019. "Implications of risk-sharing strategies on supply chains with multiple retailers and under random yield," International Journal of Production Economics, Elsevier, vol. 216(C), pages 413-424.
    18. He, Yuanjie & Zhang, Jiang, 2008. "Random yield risk sharing in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 112(2), pages 769-781, April.
    19. Lennart C. Johnsen & Abdolkarim Sadrieh & Guido Voigt, 2021. "Short‐term vs. Long‐term Contracting: Empirical Assessment of the Ratchet Effect in Supply Chain Interaction," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2252-2272, July.
    20. Begen, Mehmet A. & Pun, Hubert & Yan, Xinghao, 2016. "Supply and demand uncertainty reduction efforts and cost comparison," International Journal of Production Economics, Elsevier, vol. 180(C), pages 125-134.
    21. Adhikari, Arnab & Bisi, Arnab & Avittathur, Balram, 2020. "Coordination mechanism, risk sharing, and risk aversion in a five-level textile supply chain under demand and supply uncertainty," European Journal of Operational Research, Elsevier, vol. 282(1), pages 93-107.
    22. Lijun Ma & Weili Xue & Yingxue Zhao & Qinghua Zeng, 2016. "Loss-averse newsvendor problem with supply risk," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 214-228, February.
    23. Fattahi, Mohammad & Govindan, Kannan, 2018. "A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 534-567.
    24. Sebastian Schiffels & Guido Voigt, 2021. "Capacity Reservation and Wholesale Price Contracts under Forecast Sharing: A Behavioral Assessment," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3579-3598, October.
    25. Booij, Adam S. & van de Kuilen, Gijs, 2009. "A parameter-free analysis of the utility of money for the general population under prospect theory," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 651-666, August.
    26. Sarkar, Sourish & Kumar, Sanjay, 2015. "A behavioral experiment on inventory management with supply chain disruption," International Journal of Production Economics, Elsevier, vol. 169(C), pages 169-178.
    27. Candace Arai Yano & Hau L. Lee, 1995. "Lot Sizing with Random Yields: A Review," Operations Research, INFORMS, vol. 43(2), pages 311-334, April.
    28. Liu, Hui-hui & Song, Yao-yao & Yang, Guo-liang, 2019. "Cross-efficiency evaluation in data envelopment analysis based on prospect theory," European Journal of Operational Research, Elsevier, vol. 273(1), pages 364-375.
    29. Sarang Deo & Charles J. Corbett, 2009. "Cournot Competition Under Yield Uncertainty: The Case of the U.S. Influenza Vaccine Market," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 563-576, July.
    30. Bhavani Shanker Uppari & Sameer Hasija, 2019. "Modeling Newsvendor Behavior: A Prospect Theory Approach," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 481-500, July.
    31. Wei, Ying & Xiong, Sijia & Li, Feng, 2019. "Ordering bias with two reference profits: Exogenous benchmark and minimum requirement," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 229-250.
    32. Ancarani, A. & Di Mauro, C. & D'Urso, D., 2013. "A human experiment on inventory decisions under supply uncertainty," International Journal of Production Economics, Elsevier, vol. 142(1), pages 61-73.
    33. Anssi Käki & Juuso Liesiö & Ahti Salo & Srinivas Talluri, 2015. "Newsvendor decisions under supply uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 53(5), pages 1544-1560, March.
    34. Wang, Charles X. & Webster, Scott, 2009. "The loss-averse newsvendor problem," Omega, Elsevier, vol. 37(1), pages 93-105, February.
    35. Wang, Ruopeng & Wang, Jinting, 2018. "Procurement strategies with quantity-oriented reference point and loss aversion," Omega, Elsevier, vol. 80(C), pages 1-11.
    36. Haresh Gurnani & Karthik Ramachandran & Saibal Ray & Yusen Xia, 2014. "Ordering Behavior Under Supply Risk:An Experimental Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 61-75, February.
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