IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v9y2021i3p321-334n5.html

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.21078/JSSI-2021-321-14
    Download Restriction: no

    File URL: https://libkey.io/10.21078/JSSI-2021-321-14?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Shlomo Kalish, 1985. "A New Product Adoption Model with Price, Advertising, and Uncertainty," Management Science, INFORMS, vol. 31(12), pages 1569-1585, December.
    Full references (including those not matched with items on IDEAS)

    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. Zhou, Yu & Gao, Xiang & Luo, Suyuan & Xiong, Yu & Ye, Niangyue, 2022. "Anti-Counterfeiting in a retail Platform: A Game-Theoretic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    2. Yu, Tianyang & Dong, Jingyang & Wang, Xingtang & Qu, You, 2025. "Manufacturers’ channel strategy with consumer disappointment aversion and blockchain anti-counterfeiting," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
    3. Jiehong Zhou & Zhiying Yang & Qiao Liang & Weihua Zhou, 2025. "Effects of public and private regulations on wholesale vendors' adoption of agrifood traceability to farms," Agribusiness, John Wiley & Sons, Ltd., vol. 41(3), pages 633-653, July.
    4. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Guan, Xu & Zeng, Kuan, 2021. "The interplay between blockchain adoption and channel selection in combating counterfeits," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    5. Lehner, Roland, 2023. "Cross-Supply Chain Collaboration Platform for Pallet Management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138753, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Chen, Cheng & Wang, Hongwei & Xia, Peng, 2023. "Implications of information sharing on blockchain adoption in reducing carbon emissions: A mean–variance analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    7. Varshney, Umang & Karamchandani, Amit & Kundu, Tanmoy & Kapoor, Rohit, 2024. "Profit or prestige? Strategies for luxury brands to navigate the second-hand market using blockchain technology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 191(C).
    8. Li, Qing & Hadj-Hamou, Khaled & Rekik, Yacine, 2026. "Blockchain traceability valuation for perishable agricultural products: Balancing economic benefit and social impact," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 206(C).
    9. Awasthy, Prakash & Haldar, Tanushree & Ghosh, Debabrata, 2025. "Blockchain enabled traceability — An analysis of pricing and traceability effort decisions in supply chains," European Journal of Operational Research, Elsevier, vol. 321(3), pages 760-774.
    10. Wilhelm, Wilbert E. & Xu, Kaihong, 2002. "Prescribing product upgrades, prices and production levels over time in a stochastic environment," European Journal of Operational Research, Elsevier, vol. 138(3), pages 601-621, May.
    11. Dong, Ciwei & Huang, Qianzhi & Pan, Yuqing & Ng, Chi To & Liu, Renjun, 2023. "Logistics outsourcing: Effects of greenwashing and blockchain technology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    12. Shen, Yinhai & Zhang, Qing & Zhang, Zhichao & Ma, Xinyu, 2022. "Omnichannel retailing return operations with consumer disappointment aversion," Operations Research Perspectives, Elsevier, vol. 9(C).
    13. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    14. Ingrid Bauer & Liudmila Zavolokina & Gerhard Schwabe, 2020. "Is there a market for trusted car data?," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 211-225, June.
    15. Panos Constantinides & Ola Henfridsson & Geoffrey G. Parker, 2018. "Introduction—Platforms and Infrastructures in the Digital Age," Information Systems Research, INFORMS, vol. 29(2), pages 381-400, June.
    16. Tsan-Ming Choi, 2023. "Supply chain financing using blockchain: impacts on supply chains selling fashionable products," Annals of Operations Research, Springer, vol. 331(1), pages 393-415, December.
    17. Darghouth, M.N. & Ait-kadi, D. & Chelbi, A., 2017. "Joint optimization of design, warranty and price for products sold with maintenance service contracts," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 197-208.
    18. Trichy V. Krishnan & Frank M. Bass & Dipak C. Jain, 1999. "Optimal Pricing Strategy for New Products," Management Science, INFORMS, vol. 45(12), pages 1650-1663, December.
    19. Ataman, B.M., 2007. "Managing brands," Other publications TiSEM 462dcbba-2ac1-46d1-a61c-f, Tilburg University, School of Economics and Management.
    20. Junbin Wang, 2022. "In‐store service decisions under consumer disappointment aversion," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 681-695, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:bpj:jossai:v:9:y:2021:i:3:p:321-334:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyterbrill.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.