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Combating product label misconduct: The role of traceability and market inspection

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  • Yao, Shiqing
  • Zhu, Kaijie

Abstract

Traceability has become an important feature in supply chain management. It can be adopted to identify the sources of many quality problems. In this paper, we develop a game theoretical model to study the role of traceability in combating product label misconduct. Specifically, we consider an industrial organization that assigns product labels to its members to certify their products in an output market. However, a member of the organization may choose to sell its product label to an unregulated party that makes unqualified units. The organization can choose between a traceable product label system and an untraceable one. The former has the advantage of identifying the responsible member when the inspection detects an unqualified unit. We derive the optimal inspection polices of the two product label systems and demonstrate that the organization may incur a higher cost by adopting the traceable rather than untraceable label system. This non-intuitive result indicates that without a proper management mechanism in place, the adoption of a traceable product label system may backfire. We extend our base model and show that our main insights are robust in various settings.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ejores:v:282:y:2020:i:2:p:559-568
    DOI: 10.1016/j.ejor.2019.09.031
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    1. Lingxiu Dong & Puping (Phil) Jiang & Fasheng Xu, 2023. "Impact of Traceability Technology Adoption in Food Supply Chain Networks," Management Science, INFORMS, vol. 69(3), pages 1518-1535, March.
    2. Niu, Baozhuang & Chen, Lingyun & Wang, Jingmai, 2022. "Ad valorem tariff vs. specific tariff: Quality-differentiated e-tailers’ profitability and social welfare in cross-border e-commerce," Omega, Elsevier, vol. 108(C).
    3. Dai, Bin & Nu, Yu & Xie, Xia & Li, Jianbin, 2021. "Interactions of traceability and reliability optimization in a competitive supply chain with product recall," European Journal of Operational Research, Elsevier, vol. 290(1), pages 116-131.
    4. 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.
    5. Junhai Ma & Jiecai Chen & Yuxin Liu, 2022. "Research on optimization of food supply chain considering product traceability recall and safety investment," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3953-3972, December.
    6. Montecchi, Matteo & Plangger, Kirk & West, Douglas C., 2021. "Supply chain transparency: A bibliometric review and research agenda," International Journal of Production Economics, Elsevier, vol. 238(C).
    7. 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).
    8. 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).
    9. Liu, Hengyu, 2022. "Combating unethical producer behavior: The value of traceability in produce supply chains," International Journal of Production Economics, Elsevier, vol. 244(C).

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