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Food supply network disruption and mitigation: an integrated perspective of traceability technology and network structure

Author

Listed:
  • Lili Wang

    (Huazhong University of Science and Technology)

  • Bin Hu

    (Huazhong University of Science and Technology)

  • Yihang Feng

    (Huazhong University of Science and Technology)

  • Yanting Duan

    (Huazhong University of Science and Technology)

  • Wuyi Zhang

    (Kunming University of Science and Technology)

Abstract

The 2019 coronavirus disease (COVID-19) epidemic has caused serious disruptions in food supply networks. Based on the case of the remerging epidemic in China, this paper aims to investigate food supply network disruption and its mitigation from technical and structural perspectives. To solve the optimal policy choice problem that how to improve mitigation capability of food supply networks by using traceability technology and adjusting network structure, the occurrence mechanism of food supply network disruptions is revealed through a case study of the remerging COVID-19 outbreak in Beijing’s Xinfadi market. Five typical traceability solutions are proposed to mitigate network disruptions and their technical attributes are analyzed to establish disruption mitigation models. The structure of food supply networks is also controlled to mitigate disruptions. The structural attributes of three fundamental networks are extracted to adjust the network connections pattern in disruption mitigation models. Next, simulation experiments involving the disruption mitigation models are carried out to explore the independent and joint effects of traceability technology and network structure on mitigation capability. The findings suggest that accuracy makes a more positive effect on the mitigation capability of food supply networks than timeliness due to the various technical compositions behind them; the difference between these effects determines the choice decision of supply networks on traceability solution types. Likewise, betweenness centralization makes a positive effect but degree centralization makes a negative effect on mitigation capability because intermediary firms and focal firms in food supply networks have different behavior characteristics; these effects are both regulated by supply network types and exhibit different sensitivities. As for the joint effect of technical and structural attributes on mitigation capability, the joint effect of accuracy and betweenness centralization is bigger than the independent effects but smaller than their sum; the joint effect of timeliness and betweenness centralization depends on networks type; while the positive effect of accuracy or timeliness on mitigation capability is greater than the negative effect of degree centralization; theses joint effects are caused by the complicated interactive effects between technical composition and behaviors of intermediary firms or focal firms. These findings contribute to disruption management and decision-making theories and practices.

Suggested Citation

  • Lili Wang & Bin Hu & Yihang Feng & Yanting Duan & Wuyi Zhang, 2022. "Food supply network disruption and mitigation: an integrated perspective of traceability technology and network structure," Computational and Mathematical Organization Theory, Springer, vol. 28(4), pages 352-389, December.
    • Handle: RePEc:spr:comaot:v:28:y:2022:i:4:d:10.1007_s10588-022-09366-z
    DOI: 10.1007/s10588-022-09366-z
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    References listed on IDEAS

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    1. Lu, Xin & Horn, Abigail L. & Su, Jiahao & Jiang, Jiang, 2019. "A Universal Measure for Network Traceability," Omega, Elsevier, vol. 87(C), pages 191-204.
    2. Niknejad, Ali & Petrovic, Dobrila, 2016. "A fuzzy dynamic Inoperability Input–output Model for strategic risk management in Global Production Networks," International Journal of Production Economics, Elsevier, vol. 179(C), pages 44-58.
    3. Jan W. Rivkin & Nicolaj Siggelkow, 2007. "Patterned Interactions in Complex Systems: Implications for Exploration," Management Science, INFORMS, vol. 53(7), pages 1068-1085, July.
    4. Chen, Yuquan & Yu, Xiaohua, 2018. "Does the centralized slaughtering policy create market power for pork industry in China?," China Economic Review, Elsevier, vol. 50(C), pages 59-71.
    5. Timothy J. Sturgeon, 2002. "Modular production networks: a new American model of industrial organization," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 451-496, June.
    6. Christian Buchta & David Meyer & Alexander Pfister & Andreas Mild & Alfred Taudes, 2003. "Technological Efficiency and Organizational Inertia: A Model of the Emergence of Disruption," Computational and Mathematical Organization Theory, Springer, vol. 9(2), pages 127-146, July.
    7. Chebolu-Subramanian, Vijaya & Gaukler, Gary M., 2015. "Product contamination in a multi-stage food supply chain," European Journal of Operational Research, Elsevier, vol. 244(1), pages 164-175.
    8. Chongwatpol, Jongsawas & Sharda, Ramesh, 2013. "RFID-enabled track and traceability in job-shop scheduling environment," European Journal of Operational Research, Elsevier, vol. 227(3), pages 453-463.
    9. Basu, Preetam & Avittathur, Balram, 2018. "Pricing and sourcing strategies for competing retailers in supply chains under disruption riskAuthor-Name: Kumar, Milan," European Journal of Operational Research, Elsevier, vol. 265(2), pages 533-543.
    10. Song Xu & Xiaotong Zhang & Lipan Feng & Wenting Yang, 2020. "Disruption risks in supply chain management: a literature review based on bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3508-3526, June.
    11. David Anzola & Peter Barbrook-Johnson & Juan I. Cano, 2017. "Self-organization and social science," Computational and Mathematical Organization Theory, Springer, vol. 23(2), pages 221-257, June.
    12. Piramuthu, Selwyn & Farahani, Poorya & Grunow, Martin, 2013. "RFID-generated traceability for contaminated product recall in perishable food supply networks," European Journal of Operational Research, Elsevier, vol. 225(2), pages 253-262.
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