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Supply chain viability:conceptualization, measurement, and nomological validation

Author

Listed:
  • Salomée Ruel

    (Excelia 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.
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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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    3. 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.

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