IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v28y2022i4d10.1007_s10588-022-09366-z.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10588-022-09366-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10588-022-09366-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Lu, Xin & Horn, Abigail L. & Su, Jiahao & Jiang, Jiang, 2019. "A Universal Measure for Network Traceability," Omega, Elsevier, vol. 87(C), pages 191-204.
    5. 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.
    6. 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.
    7. 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.
    8. Jan W. Rivkin & Nicolaj Siggelkow, 2007. "Patterned Interactions in Complex Systems: Implications for Exploration," Management Science, INFORMS, vol. 53(7), pages 1068-1085, July.
    9. 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.
    10. 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.
    11. 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.
    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.
    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. 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).
    2. Luo, Jianxi, 2018. "Architecture and evolvability of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 132-144.
    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. Sun, Qi & Ma, Junyong & Lu, Qihui & Gao, Yaya & Xu, Weidong, 2024. "System dynamics analysis of Retailer's emergency strategies when facing irrational demand and supply disruption," International Journal of Production Economics, Elsevier, vol. 271(C).
    5. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    6. Wang, Hua & Xie, Yanle & Wang, Cuicui, 2023. "The retailer's brand promotion strategy under competition: The impact of supply uncertainty," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    7. Yue Maggie Zhou, 2013. "Designing for Complexity: Using Divisions and Hierarchy to Manage Complex Tasks," Organization Science, INFORMS, vol. 24(2), pages 339-355, April.
    8. Jan Fagerberg & Bengt-Åke Lundvall & Martin Srholec, 2018. "Global Value Chains, National Innovation Systems and Economic Development," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(3), pages 533-556, July.
    9. Muawia Ramadan & Bashir Salah & Mohammed Othman & Arsath Abbasali Ayubali, 2020. "Industry 4.0-Based Real-Time Scheduling and Dispatching in Lean Manufacturing Systems," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    10. Baldwin, Carliss Y. & Bogers, Marcel L.A.M. & Kapoor, Rahul & West, Joel, 2024. "Focusing the ecosystem lens on innovation studies," Research Policy, Elsevier, vol. 53(3).
    11. Davide Consoli & Pier Paolo Patrucco, 2011. "Complexity and the Coordination of Technological Knowledge: The Case of Innovation Platforms," Chapters, in: Handbook on the Economic Complexity of Technological Change, chapter 8 Edward Elgar Publishing.
    12. Shenglan Huang & Zhi Chen, 2017. "The Effects of Social Capital on Innovation Performance: From Complex Adaptive System Perspective," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(3), pages 191-191, February.
    13. Vincent FRIGANT, 2009. "Is the automotive supply chain compatible with Corporate Social Responsible practices? (In French)," Cahiers du GREThA (2007-2019) 2009-08, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    14. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    15. Susanne Meyer & Javier Revilla Diez, 2015. "One country, two systems: How regional institutions shape governance modes in the greater Pearl River Delta, China," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 891-900, November.
    16. Susan Helper & Mari Sako, 2010. "Management innovation in supply chain: appreciating Chandler in the twenty-first century," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(2), pages 399-429, April.
    17. Zhiang (John) Lin & James A. Kitts & Haibin Yang & J. Richard Harrison, 2008. "Elucidating strategic network dynamics through computational modeling," Computational and Mathematical Organization Theory, Springer, vol. 14(3), pages 175-208, September.
    18. Emanuela Todeva & Ruslan Rakhmatullin, 2016. "Industry Global Value Chains, Connectivity and Regional Smart Specialisation in Europe. An Overview of Theoretical Approaches and Mapping Methodologies," JRC Research Reports JRC102801, Joint Research Centre.
    19. Sai Yayavaram & Wei-Ru Chen, 2015. "Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 377-396, March.
    20. Laura J. Kornish & Karl T. Ulrich, 2011. "Opportunity Spaces in Innovation: Empirical Analysis of Large Samples of Ideas," Management Science, INFORMS, vol. 57(1), pages 107-128, January.

    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:spr:comaot:v:28:y:2022:i:4:d:10.1007_s10588-022-09366-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.