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Blockchain or Not? Optimal Decisions for Food Retailers Considering Consumer Expertise

Author

Listed:
  • Hu Linyuan

    (School of Economics and Management, Beijing Jiaotong University, Beijing100044, China)

  • Ding Jinzhi

    (School of Economics and Management, Beijing Jiaotong University, Beijing100044, China)

  • Yang Xiying

    (School of Economics and Management, Beijing Jiaotong University, Beijing100044, China)

Abstract

This paper studies the benefit of the blockchain food traceability system (BFTS). Based on game theory and the willingness-to-pay model, pricing models are formulated considering important factors like the proportion of consumer with high expertise in traceability, risk attitude to doubtful traceability information and perceived convenience of traceability information checking. By compared the optimal total welfare under the BFTS and that under the traditional food traceability system in valuation analysis, conditions where applying the BFTS is more valuable than applying the TFTS are figured out. Finally, insightful management implications are given.

Suggested Citation

  • Hu Linyuan & Ding Jinzhi & Yang Xiying, 2021. "Blockchain or Not? Optimal Decisions for Food Retailers Considering Consumer Expertise," Journal of Systems Science and Information, De Gruyter, vol. 9(3), pages 321-334, June.
  • Handle: RePEc:bpj:jossai:v:9:y:2021:i:3:p:321-334:n:5
    DOI: 10.21078/JSSI-2021-321-14
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    References listed on IDEAS

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    1. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    2. Liao, Pei-An & Chang, Hung-Hao & Chang, Chun-Yen, 2011. "Why is the food traceability system unsuccessful in Taiwan? Empirical evidence from a national survey of fruit and vegetable farmers," Food Policy, Elsevier, vol. 36(5), pages 686-693.
    3. Shlomo Kalish, 1985. "A New Product Adoption Model with Price, Advertising, and Uncertainty," Management Science, INFORMS, vol. 31(12), pages 1569-1585, December.
    4. Du, Shaofu & Wang, Li & Hu, Li, 2019. "Omnichannel management with consumer disappointment aversion," International Journal of Production Economics, Elsevier, vol. 215(C), pages 84-101.
    5. Yao, Shiqing & Zhu, Kaijie, 2020. "Combating product label misconduct: The role of traceability and market inspection," European Journal of Operational Research, Elsevier, vol. 282(2), pages 559-568.
    6. Marten Risius & Kai Spohrer, 2017. "A Blockchain Research Framework," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(6), pages 385-409, December.
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