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Loss Aversion Order Strategy in Emergency Procurement during the COVID-19 Pandemic

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  • Haozhe Huang

    (Department of Logistics Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
    School of Economics and Management, Guangxi Vocational College of Performing Arts, Nanning 530226, China)

  • Xiaowei Li

    (Department of Logistics Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Shuai Liu

    (Department of Logistics Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

Abstract

The COVID-19 pandemic has had a serious impact on firms’ sourcing strategies. Since COVID-19 disrupted the supply chain, firms have had to make emergency purchases from other suppliers. In addition, emergency ordering is one of the most effective strategies to achieve sustainable operations because such a strategy can save inventory costs. We aim to address a retailer’s emergency procurement strategies during the COVID-19 pandemic. We use prospect theory and the newsvendor model to uncover the retailer’s inventory decisions. In our study, we find that retailers have the choice to order items before the selling period at the normal purchase price, and, if available, they can order them before the end of the selling period at the urgent purchase price. We perform a comparison of the optimal ordering policy and margins in this case with the conventional and loss aversion models. The influence of emergency procurement on the optimal order policy and margins is investigated as well. This paper contributes in theory that we innovatively capture the uncertainty of emergency sourcing, which is a feature that has never been considered in current research.

Suggested Citation

  • Haozhe Huang & Xiaowei Li & Shuai Liu, 2022. "Loss Aversion Order Strategy in Emergency Procurement during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(15), pages 1-10, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9119-:d:871236
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    References listed on IDEAS

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    1. Gotoh, Jun-ya & Takano, Yuichi, 2007. "Newsvendor solutions via conditional value-at-risk minimization," European Journal of Operational Research, Elsevier, vol. 179(1), pages 80-96, May.
    2. Wang, Charles X. & Webster, Scott, 2009. "The loss-averse newsvendor problem," Omega, Elsevier, vol. 37(1), pages 93-105, February.
    3. 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..
    4. Xinsheng Xu & Felix T.S. Chan & Chi Kin Chan, 2019. "Optimal option purchase decision of a loss-averse retailer under emergent replenishment," International Journal of Production Research, Taylor & Francis Journals, vol. 57(14), pages 4594-4620, July.
    5. Ma, Lijun & Zhao, Yingxue & Xue, Weili & Cheng, T.C.E. & Yan, Houmin, 2012. "Loss-averse newsvendor model with two ordering opportunities and market information updating," International Journal of Production Economics, Elsevier, vol. 140(2), pages 912-921.
    6. Bai, Tian & Wu, Meng & Zhu, Stuart X., 2019. "Pricing and ordering by a loss averse newsvendor with reference dependence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 343-365.
    7. Sungyong Choi, 2018. "A Loss-Averse Newsvendor with Cap-and-Trade Carbon Emissions Regulation," Sustainability, MDPI, vol. 10(7), pages 1-12, June.
    8. Wu, Chengfeng & Liu, Xin & Li, Annan, 2021. "A loss-averse retailer–supplier supply chain model under trade credit in a supplier-Stackelberg game," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 182(C), pages 353-365.
    9. Liu, Shuai & Hua, Guowei & Cheng, T.C.E. & Dong, Jingxin, 2021. "Unmanned vehicle distribution capacity sharing with demand surge under option contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    10. Jianxin Chen & Tonghua Zhang & Yong-wu Zhou & Rui Hou, 2022. "Complex dynamic analysis of risk-averse newsvendor models with buyback guarantee financing," International Journal of Production Research, Taylor & Francis Journals, vol. 60(9), pages 2865-2883, May.
    11. Wang, Charles X., 2010. "The loss-averse newsvendor game," International Journal of Production Economics, Elsevier, vol. 124(2), pages 448-452, April.
    12. Choi, Tsan-Ming & Li, Duan & Yan, Houmin & Chiu, Chun-Hung, 2008. "Channel coordination in supply chains with agents having mean-variance objectives," Omega, Elsevier, vol. 36(4), pages 565-576, August.
    13. Xu, Xinsheng & Wang, Hongwei & Dang, Chuangyin & Ji, Ping, 2017. "The loss-averse newsvendor model with backordering," International Journal of Production Economics, Elsevier, vol. 188(C), pages 1-10.
    14. Ciwei Dong & Qingying Li & Bin Shen & Xun Tong, 2019. "Sustainability in Supply Chains with Behavioral Concerns," Sustainability, MDPI, vol. 11(15), pages 1-7, July.
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