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Investment Decision of Blockchain Technology in Fresh Food Supply Chains Considering Misreporting Behavior

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  • Zhangwei Feng

    (School of Business, Ningbo University, Ningbo 315211, China)

  • Peng Jin

    (College of Finance & Information, Ningbo University of Finance & Economics, Ningbo 315175, China)

  • Guiping Li

    (School of Business, Ningbo University, Ningbo 315211, China)

Abstract

Effectively managing fresh food supply chains (FFSCs) has long been a big challenge owing to the complexity in practice. Adoption of innovative technologies, blockchain traceability (BT), and cold-chain preservation (CP) technology to improve the efficiency of FFSC management has attracted much attention practically and academically. Distinct from existing studies, this paper provides a specific insight into the application of these two technologies by taking into account their functions in restraining misreporting behavior with BT technology due to its traceability and transparency and improving the freshness with CP technology based on the investment in fresh preservation equipment. With this in mind, this paper develops game theoretic models to identify the conditions under which technologies are the optimal selection for the supplier/retailer. It assumes that the retailer is the Stackelberg leader and the supplier is the follower. The key findings show that: (1) with the foci to eliminate suppliers’ misreporting behavior and minimize the incentive fees, BT investment can increase prices and promote order quantities and demand; (2) only when the consumers demonstrate “appropriate” sensitivity to freshness, a win–win situation can be achieved without adoption of BT technology; and (3) suppliers are not keen to invest in BT or CP technology when the circulation time is short, while retailers prefer to invest in CP technology when the circulation time is long.

Suggested Citation

  • Zhangwei Feng & Peng Jin & Guiping Li, 2023. "Investment Decision of Blockchain Technology in Fresh Food Supply Chains Considering Misreporting Behavior," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7421-:d:1137011
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    References listed on IDEAS

    as
    1. Qin, Yiyan & Wang, Jianjun & Wei, Caimin, 2014. "Joint pricing and inventory control for fresh produce and foods with quality and physical quantity deteriorating simultaneously," International Journal of Production Economics, Elsevier, vol. 152(C), pages 42-48.
    2. Li, Guiping & He, Xiuli & Zhou, Jing & Wu, Hao, 2019. "Pricing, replenishment and preservation technology investment decisions for non-instantaneous deteriorating items," Omega, Elsevier, vol. 84(C), pages 114-126.
    3. Friedman, Nicola & Ormiston, Jarrod, 2022. "Blockchain as a sustainability-oriented innovation?: Opportunities for and resistance to Blockchain technology as a driver of sustainability in global food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Yunlong Yu & Tiaojun Xiao & Zhangwei Feng, 2020. "Price and cold-chain service decisions versus integration in a fresh agri-product supply chain with competing retailers," Annals of Operations Research, Springer, vol. 287(1), pages 465-493, April.
    5. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    6. Wu, Xin & Nie, Lei & Xu, Meng & Yan, Fei, 2018. "A perishable food supply chain problem considering demand uncertainty and time deadline constraints: Modeling and application to a high-speed railway catering service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 186-209.
    7. Luo, Na & Olsen, Tava & Liu, Yanping & Zhang, Abraham, 2022. "Reducing food loss and waste in supply chain operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    8. Yan, Bo & Wang, Tao & Liu, Yan-ping & Liu, Yang, 2016. "Decision analysis of retailer-dominated dual-channel supply chain considering cost misreporting," International Journal of Production Economics, Elsevier, vol. 178(C), pages 34-41.
    9. Yang, Lei & Tang, Ruihong, 2019. "Comparisons of sales modes for a fresh product supply chain with freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 425-448.
    10. Zhang, Xuefeng & Li, Zhe & Li, Guo, 2023. "Impacts of blockchain-based digital transition on cold supply chains with a third-party logistics service provider," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    11. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    12. Besik, Deniz & Nagurney, Anna & Dutta, Pritha, 2023. "An integrated multitiered supply chain network model of competing agricultural firms and processing firms: The case of fresh produce and quality," European Journal of Operational Research, Elsevier, vol. 307(1), pages 364-381.
    13. Yunzeng Wang, 2006. "Joint Pricing-Production Decisions in Supply Chains of Complementary Products with Uncertain Demand," Operations Research, INFORMS, vol. 54(6), pages 1110-1127, December.
    14. Xiaodong Yang & Gangshu (George) Cai & Charles A. Ingene & Jihong Zhang, 2020. "Manufacturer Strategy on Service Provision in Competitive Channels," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 72-89, January.
    15. Lodree Jr., Emmett J. & Uzochukwu, Benedict M., 2008. "Production planning for a deteriorating item with stochastic demand and consumer choice," International Journal of Production Economics, Elsevier, vol. 116(2), pages 219-232, December.
    16. Shuai Yang & Yujie Xiao & Yong-Hong Kuo, 2017. "The Supply Chain Design for Perishable Food with Stochastic Demand," Sustainability, MDPI, vol. 9(7), pages 1-12, July.
    17. Xiaoyan Qian & Tava Lennon Olsen, 2020. "Operational and Financial Decisions Within Proportional Investment Cooperatives," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 545-561, May.
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    1. Hongbo Tu & Mo Pang & Lin Chen, 2023. "Freshness-Keeping Strategy of Logistics Service Providers: The Role of the Interaction between Blockchain and Overconfidence," Mathematics, MDPI, vol. 11(17), pages 1-35, August.

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