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Supply chain viability:conceptualization, measurement, and nomological validation

Author

Listed:
  • Salomée Ruel

    (Excelia Group | La Rochelle Business School, CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes)

  • El Baz Jamal
  • Dmitry Ivanov

    (Berlin School of Economics and Law)

  • Ajay Das

    (Zicklin School of Business - Baruch College [CUNY] - CUNY - City University of New York [New York])

Abstract

Supply chain viability (SCV) is an emerging concept of growing importance in operations management. This paper aims to conceptualize, develop, and validate a measurement scale for SCV. SCV is first defined and operationalized as a construct, followed by content validation and item measure development. Data have been collected through three independent samplings comprising a total of 558 respondents. Both exploratory and confirmatory factor analyses are used in a step-wise manner for scale development. Reliability and validity are evaluated. A nomological model is theorized and tested to evaluate nomological validity. For the first time, our study frames SCV as a novel and distinct construct. The findings show that SCV is a hierarchical and multidimensional construct, reflected in organizational structures, organizational resources, dynamic design capabilities, and operational aspects. The findings reveal that a central characteristic of SCV is the dynamic reconfiguration of SC structures in an adaptive manner to ensure survival in the long-term perspective. This research conceptualizes and provides specific, validated dimensions and item measures for SCV. Practitioner directed guidance and suggestions are offered for improving SCV during the COVID-19 pandemic and future severe disruptions.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Salomée Ruel & El Baz Jamal & Dmitry Ivanov & Ajay Das, 2021. "Supply chain viability:conceptualization, measurement, and nomological validation," Post-Print hal-04809826, HAL.
    • Handle: RePEc:hal:journl:hal-04809826
    DOI: 10.1007/s10479-021-03974-9
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    Cited by:

    1. Maciel M. Queiroz & Samuel Fosso Wamba, 2024. "A structured literature review on the interplay between emerging technologies and COVID-19 – insights and directions to operations fields," Annals of Operations Research, Springer, vol. 335(3), pages 937-963, April.
    2. Yılmaz, Ömer Faruk & Yılmaz, Beren Gürsoy & Yeni, Fatma Betül & Bal, Alperen, 2025. "Investigating the impact of strategic warehouse design and product clustering on supply chain viability: A unified robust stochastic programming approach," International Journal of Production Economics, Elsevier, vol. 285(C).
    3. Sahu, Aditya Kumar & Khan, Mohd Ziyauddin & Gupta, Piyush, 2025. "Instant food on your table: The role of logistics service quality dimensions in the adoption of instant online food delivery services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 200(C).
    4. Reza Lotfi & Mohsen Rajabzadeh & Abolfazl Zamani & Mohammad Sadra Rajabi, 2025. "Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness," Annals of Operations Research, Springer, vol. 344(2), pages 575-594, January.
    5. Yang, Yi & Peng, Chen & Cao, En-Zhi, 2025. "Design of supply chain resilience strategies from the product life cycle perspective," International Journal of Production Economics, Elsevier, vol. 282(C).
    6. Bag, Surajit & Routray, Susmi & Rahman, Muhammad Sabbir & Shrivastav, Santosh Kumar, 2025. "Investigate the effect of green hydrogen supply chain integration on supply chain resilience: Organization information processing theory perspective," International Journal of Production Economics, Elsevier, vol. 284(C).
    7. Dmitry Ivanov, 2024. "Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains," Annals of Operations Research, Springer, vol. 335(3), pages 1627-1644, April.
    8. Timothy Amoako & Hao Chen & Stephen Abiam Danso & Edem Segbefia, 2025. "The Role of Top Management Involvement and Supply Chain Integration on Smes’ Innovation Performance: Moderation Impact of Firm Experience Capability," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5419-5452, March.
    9. Hosseini Shekarabi, Seyed Ashkan & Kiani Mavi, Reza & Kiani Mavi, Neda & Macau, Flavio Romero & Arisian, Sobhan (Sean), 2025. "A novel robust optimization approach for supply chain resilience: The role of flexibility and collaboration," International Journal of Production Economics, Elsevier, vol. 287(C).
    10. Md. Maruf Hossan Chowdhury & Seyed Zeinab Aliahmadi & Mohammed A. Quaddus & Amir H. Ansaripoor & Seyedali Mirjalili, 2025. "A Decision Support Framework for Resilient and Sustainable Service Design," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 26(1), pages 25-55, March.
    11. Baret, Isaline & Nguyen, Nhan Quy & Ouazene, Yassine & Yalaoui, Farouk, 2025. "Enhancing healthcare system resilience: Optimization of strategic investments portfolio," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    12. Yılmaz, Ömer Faruk & Guan, Yongpei & Yılmaz, Beren Gürsoy, 2025. "Designing a resilient humanitarian supply chain by considering viability under uncertainty: A machine learning embedded approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    13. Broekaert, Jan B. & Hafiz, Faizal & Jayaraman, Raja & La Torre, Davide, 2025. "Managing resilience and viability of supranational supply chains under epidemic control scenarios," Omega, Elsevier, vol. 133(C).
    14. Yılmaz, Ömer Faruk & Guan, Yongpei & Yılmaz, Beren Gürsoy & Yeni, Fatma Betül & Özçelik, Gökhan, 2025. "A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability," Omega, Elsevier, vol. 133(C).
    15. Zhan, Sha-lei & Ignatius, Joshua & Ng, Chi To & Chen, Daqiang, 2025. "Supply chain network viability: Managing disruption risk via dynamic data and interaction models," Omega, Elsevier, vol. 134(C).

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