IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i9p2680-d230132.html
   My bibliography  Save this article

Impact of Loss-Aversion on a Financially-Constrained Supply Chain

Author

Listed:
  • Jinpyo Lee

    (College of Business Administration, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 121-791, Korea)

Abstract

Traditionally, in the area of production and operations management, the financial states and decision-makers’ behaviour regarding loss have been ignored in the supply chain, which may lead to infeasible or unrealistic practices or even catastrophic losses in practical supply chain operations. Therefore, this study aims to provide a model for operational efficiency in a financially constrained supply-chain system consisting of a financially deficient retailer, a supplier, and a bank, and to analyse the impact of the behaviour of the bank and the supplier on the operational decision. It is assumed that the bank provides a loan to the retailer considering the supplier’s credit guarantee for the retailer. The supplier’s credit guarantee implies that, if the retailer goes bankrupt after the sales season, then a pre-guaranteed proportion of the retailer’s loan is repaid by the supplier. Moreover, to capture the decision-makers’ behaviour regarding loss, it is assumed that the supplier and the bank are loss-averse in their risk preference on the final profit. Under this circumstance, it is intended to draw the theoretical implications by analysing a loss-averse behaviour model for a supplier and a bank, in which a kinked piecewise linear and concave utility function is considered. The optimal decision is analytically derived for the retailer (the optimal order quantity), the supplier (the optimal wholesale price), and the bank (the optimal interest rate). In addition, a sensitivity analysis is conducted to investigate how the model parameters affect the optimal decision for the retailer, the supplier, and the bank under different degrees of loss-aversion. The optimal decisions are shown to be highly affected by the degree of the loss-aversion coefficient of the bank and the supplier and to be more conservative than the result in the traditional case which optimises the risk-neutral expected profit (the unit degree of loss-aversion). The analytical results can be summarised as follows. First, as the wholesale price and the interest rate increase, the optimal order quantity decreases. Second, the more loss-averse the supplier is, the higher the optimal wholesale price that is offered to the retailer by the supplier. Third, the larger the credit guarantee that is provided to the retailer by the supplier, the higher the optimal wholesale price that is provided to the retailer. Fourth, the more loss-averse the bank is, the higher the interest rate that is offered to the retailer; and the larger the credit guarantee that is provided by the supplier, the lower the interest rate that is offered to the retailer.

Suggested Citation

  • Jinpyo Lee, 2019. "Impact of Loss-Aversion on a Financially-Constrained Supply Chain," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2680-:d:230132
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/9/2680/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/9/2680/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Herweg, Fabian, 2013. "The expectation-based loss-averse newsvendor," Economics Letters, Elsevier, vol. 120(3), pages 429-432.
    3. Arnold, Jan & Minner, Stefan, 2011. "Financial and operational instruments for commodity procurement in quantity competition," International Journal of Production Economics, Elsevier, vol. 131(1), pages 96-106, May.
    4. Wu, Meng & Bai, Tian & Zhu, Stuart X., 2018. "A loss averse competitive newsvendor problem with anchoring," Omega, Elsevier, vol. 81(C), pages 99-111.
    5. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    6. Wang, Charles X. & Webster, Scott, 2009. "The loss-averse newsvendor problem," Omega, Elsevier, vol. 37(1), pages 93-105, February.
    7. 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..
    8. Hwan Lee, Chang & Rhee, Byong-Duk, 2010. "Coordination contracts in the presence of positive inventory financing costs," International Journal of Production Economics, Elsevier, vol. 124(2), pages 331-339, April.
    9. Vipin, B. & Amit, R.K., 2017. "Loss aversion and rationality in the newsvendor problem under recourse option," European Journal of Operational Research, Elsevier, vol. 261(2), pages 563-571.
    10. Xiaohong Liu & Liguo Zhou & Yen-Chun Jim Wu, 2015. "Supply Chain Finance in China: Business Innovation and Theory Development," Sustainability, MDPI, vol. 7(11), pages 1-21, November.
    11. John A. Buzacott & Rachel Q. Zhang, 2004. "Inventory Management with Asset-Based Financing," Management Science, INFORMS, vol. 50(9), pages 1274-1292, September.
    12. Yufei Ren & David Croson & Rachel Croson, 2017. "The overconfident newsvendor," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 496-506, May.
    13. Nina Yan & Chongqing Liu & Ye Liu & Baowen Sun, 2017. "Effects of risk aversion and decision preference on equilibriums in supply chain finance incorporating bank credit with credit guarantee," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 33(6), pages 602-625, November.
    14. Biswajit Sarkar & Chong Zhang & Arunava Majumder & Mitali Sarkar & Yong Won Seo, 2018. "A distribution free newsvendor model with consignment policy and retailer’s royalty reduction," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5025-5044, August.
    15. Martin A. Lariviere & Evan L. Porteus, 2001. "Selling to the Newsvendor: An Analysis of Price-Only Contracts," Manufacturing & Service Operations Management, INFORMS, vol. 3(4), pages 293-305, May.
    16. Yufei Ren & Rachel Croson, 2013. "Overconfidence in Newsvendor Orders: An Experimental Study," Management Science, INFORMS, vol. 59(11), pages 2502-2517, November.
    17. Wang, Charles X., 2010. "The loss-averse newsvendor game," International Journal of Production Economics, Elsevier, vol. 124(2), pages 448-452, April.
    18. Chen, Xiangfeng, 2015. "A model of trade credit in a capital-constrained distribution channel," International Journal of Production Economics, Elsevier, vol. 159(C), pages 347-357.
    19. Zhang, Qinhong & Dong, Ming & Luo, Jianwen & Segerstedt, Anders, 2014. "Supply chain coordination with trade credit and quantity discount incorporating default risk," International Journal of Production Economics, Elsevier, vol. 153(C), pages 352-360.
    20. Jinpyo Lee & Mi Lim Lee & Minjae Park, 2018. "A Newsboy Model with Quick Response under Sustainable Carbon Cap-N-Trade," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    21. Xiangfeng Chen & Anyu Wang, 2012. "Trade credit contract with limited liability in the supply chain with budget constraints," Annals of Operations Research, Springer, vol. 196(1), pages 153-165, July.
    22. Cressy, Robert & Olofsson, Christer, 1997. "The Financial Conditions for Swedish SMEs: Survey and Research Agenda," Small Business Economics, Springer, vol. 9(2), pages 179-194, April.
    23. Lee, Chang Hwan & Rhee, Byong-Duk, 2011. "Trade credit for supply chain coordination," European Journal of Operational Research, Elsevier, vol. 214(1), pages 136-146, October.
    24. Meyer, Laurence H., 1998. "The present and future roles of banks in small business finance," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 1109-1116, August.
    25. Panos Kouvelis & Wenhui Zhao, 2012. "Financing the Newsvendor: Supplier vs. Bank, and the Structure of Optimal Trade Credit Contracts," Operations Research, INFORMS, vol. 60(3), pages 566-580, June.
    26. Benjamin S. Wilner, 2000. "The Exploitation of Relationships in Financial Distress: The Case of Trade Credit," Journal of Finance, American Finance Association, vol. 55(1), pages 153-178, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wei Liu & Han Zhao & Shiji Song & Wenxuan He & Xiaochen Li, 2021. "Coping with Loss Aversion and Risk Management in the Supply Chain Coordination," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    2. Xu, Xianhao & Chen, Cheng & Zou, Bipan & Wang, Hongwei & Li, Zhiwen, 2023. "Shipping before order making: Optimal shipping quantity and pricing decisions under uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jianjun Yu & Dan Zhu, 2018. "Study on the Selection Strategy of Supply Chain Financing Modes Based on the Retailer’s Trade Grade," Sustainability, MDPI, vol. 10(9), pages 1-12, August.
    2. Yan, Nina & Sun, Baowen & Zhang, Hui & Liu, Chongqing, 2016. "A partial credit guarantee contract in a capital-constrained supply chain: Financing equilibrium and coordinating strategy," International Journal of Production Economics, Elsevier, vol. 173(C), pages 122-133.
    3. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
    4. Yan, Nina & He, Xiuli & Liu, Ye, 2019. "Financing the capital-constrained supply chain with loss aversion: Supplier finance vs. supplier investment," Omega, Elsevier, vol. 88(C), pages 162-178.
    5. 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.
    6. Wang, Chengfu & Fan, Xiaojun & Yin, Zhe, 2019. "Financing online retailers: Bank vs. electronic business platform, equilibrium, and coordinating strategy," European Journal of Operational Research, Elsevier, vol. 276(1), pages 343-356.
    7. Shi, Jinzhao & Guo, Ju'e & Du, Qiang & Lin, Feng & Lai, Kin Keung & Cheng, T.C.E., 2020. "Optimal financing mode selection for a capital-constrained retailer under an implicit bankruptcy cost," International Journal of Production Economics, Elsevier, vol. 228(C).
    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. Jin, Wei & Zhang, Qinhong & Luo, Jianwen, 2019. "Non-collaborative and collaborative financing in a bilateral supply chain with capital constraints," Omega, Elsevier, vol. 88(C), pages 210-222.
    10. Xiaoli Zhang & Guoyi Xiu & Fakhar Shahzad & Yupeng Duan, 2021. "Optimal Financing Strategy in a Capital-Constrained Supply Chain with Retailer Green Marketing Efforts," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    11. Yuting Li & Tong Chen & Baogui Xin, 2016. "Optimal Financing Decisions of Two Cash-Constrained Supply Chains with Complementary Products," Sustainability, MDPI, vol. 8(5), pages 1-17, April.
    12. Kirshner, Samuel N. & Shao, Lusheng, 2018. "Internal and external reference effects in a two-tier supply chain," European Journal of Operational Research, Elsevier, vol. 267(3), pages 944-957.
    13. Yang, Honglin & Zhuo, Wenyan & Shao, Lusheng, 2017. "Equilibrium evolution in a two-echelon supply chain with financially constrained retailers: The impact of equity financing," International Journal of Production Economics, Elsevier, vol. 185(C), pages 139-149.
    14. Wei Liu & Shiji Song & Ying Qiao & Han Zhao & Huachang Wang, 2020. "The Loss-Averse Newsvendor Problem with Random Yield and Reference Dependence," Mathematics, MDPI, vol. 8(8), pages 1-15, July.
    15. Jin, Wei & Ding, Wen & Yang, Jun, 2022. "Impact of financial incentives on green manufacturing: Loan guarantee vs. interest subsidy," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1067-1080.
    16. 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.
    17. Ma, Cheng & Dai, Yuankang & Li, Zhongfei, 2022. "Financing format selection for electronic business platforms with a capital-constrained e-tailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    18. Liu, Jie & Yang, Yang & Yu, Yugang, 2021. "Ordering and interest rate strategies in platform finance with an overconfident and commerce retailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    19. Yuan, Xiaoyong & Bi, Gongbing & Fei, Yalei & Liu, Lindong, 2021. "Supply chain with random yield and financing," Omega, Elsevier, vol. 102(C).
    20. Wang, Chengfu & Chen, Xiangfeng & Jin, Wei & Fan, Xiaojun, 2022. "Credit guarantee types for financing retailers through online peer-to-peer lending: Equilibrium and coordinating strategy," European Journal of Operational Research, Elsevier, vol. 297(1), pages 380-392.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2680-:d:230132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.