Artikel

Supply chain viability: conceptualization, measurement, and nomological validation

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.

Sprache
Englisch

Erschienen in
Journal: Annals of Operations Research ; ISSN: 1572-9338 ; Year: 2021 ; Pages: 1-30 ; New York, NY: Springer US

Klassifikation
Allgemeines, Wissenschaft
Thema
Supply chain viability
COVID-19 pandemic
Measurement
Scale development
Second-order construct

Ereignis
Geistige Schöpfung
(wer)
Ruel, Salomée
El Baz, Jamal
Ivanov, Dmitry
Das, Ajay
Ereignis
Veröffentlichung
(wer)
Springer US
(wo)
New York, NY
(wann)
2021

DOI
doi:10.1007/s10479-021-03974-9
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Ruel, Salomée
  • El Baz, Jamal
  • Ivanov, Dmitry
  • Das, Ajay
  • Springer US

Entstanden

  • 2021

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