Supply chain viability:conceptualization, measurement, and nomological validation
Salomée Ruel,
Jamal El Baz,
Dmitry Ivanov () and
Ajay Das
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Jamal El Baz: Université Ibn Zohr = Ibn Zohr University [Agadir]
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]
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Abstract:
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.
Keywords: Supply chain viability; COVID-19 pandemic; Measurement; Scale development; Second-order construct (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (9)
Published in Annals of Operations Research, 2021, 335 (3), pp.1107-1136. ⟨10.1007/s10479-021-03974-9⟩
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Journal Article: Supply chain viability: conceptualization, measurement, and nomological validation (2024) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04809826
DOI: 10.1007/s10479-021-03974-9
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