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Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems

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  • Dmitry Ivanov
  • Alexandre Dolgui
  • Jennifer V. Blackhurst
  • Tsan-Ming Choi

Abstract

The COVID-19 pandemic has triggered new research areas in supply chain resilience. One of these new areas is viability. Viability extends the resilience understanding from performance-based assessment of firm’s responses to disruptions towards survivability of both supply chains and associated ecosystems not only during some short-term disruptions but also under conditions of long-term crises. To explore the state-of-the-art knowledge on methods, models, capabilities, and technologies of supply chain viability, we edited this important IJPR special issue. To introduce the special issue, we review the existing literature on supply chain viability, conceptualise seven major pillars of supply chain viability theory (i.e. viable supply chain design, viability in process planning and control, ripple effect, intertwined and reconfigurable supply networks, ecosystems, digital supply chain, and Industry 5.0), and establish some associated future research directions. The findings of this editorial paper, as well as the articles in the special issue, can be used by researchers and practitioners alike to consolidate recent advances and practices of viability in supply chain networks and lay the solid foundation for further developments in this area.

Suggested Citation

  • Dmitry Ivanov & Alexandre Dolgui & Jennifer V. Blackhurst & Tsan-Ming Choi, 2023. "Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems," International Journal of Production Research, Taylor & Francis Journals, vol. 61(8), pages 2402-2415, April.
    • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:8:p:2402-2415
    DOI: 10.1080/00207543.2023.2177049
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    Cited by:

    1. Liu, Ming & Ding, Yueyu & Chu, Feng & Dolgui, Alexandre & Zheng, Feifeng, 2024. "Robust actions for improving supply chain resilience and viability," Omega, Elsevier, vol. 123(C).
    2. Brusset, Xavier & Ivanov, Dmitry & Jebali, Aida & La Torre, Davide & Repetto, Marco, 2023. "A dynamic approach to supply chain reconfiguration and ripple effect analysis in an epidemic," International Journal of Production Economics, Elsevier, vol. 263(C).
    3. Chervenkova, Tanya & Ivanov, Dmitry, 2023. "Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    4. Wong, David T.W. & Ngai, Eric W.T., 2023. "The impact of advanced manufacturing technology, sensing and analytics capabilities, and planning comprehensiveness on sustained competitive advantage: The moderating role of environmental uncertainty," International Journal of Production Economics, Elsevier, vol. 265(C).
    5. Heiner Ackermann & Erik Diessel & Michael Helmling & Neil Jami & Johanna Münch, 2024. "Computing Optimal Mitigation Plans for Force-Majeure Scenarios in Dynamic Manufacturing Chains," SN Operations Research Forum, Springer, vol. 5(2), pages 1-35, June.
    6. Vahdani, Behnam & Mohammadi, Mehrdad & Thevenin, Simon & Meyer, Patrick & Dolgui, Alexandre, 2023. "Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic," Omega, Elsevier, vol. 120(C).

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