Performance effects of analytics capability, disruption orientation, and resilience in the supply chain under environmental uncertainty.
Analytics capability of organization
Dynamic capability view
Environmental uncertainty
Supply chain disruption orientation
Supply chain resilience
Journal
Annals of operations research
ISSN: 0254-5330
Titre abrégé: Ann Oper Res
Pays: United States
ID NLM: 101608624
Informations de publication
Date de publication:
2023
2023
Historique:
accepted:
06
12
2021
medline:
1
2
2022
pubmed:
1
2
2022
entrez:
31
1
2022
Statut:
ppublish
Résumé
The relationship between Analytics Capability of an Organization (ACO) and both Supply Chain Disruption Orientation (SCDO) and Supply Chain Resilience (SCR) in order to achieve adequate operational performance in an era of environmental uncertainty is carried out in this study. Total three hypotheses (seven sub-hypotheses) using a survey of 405 respondents are collected via a pre-tested instrument and tested further. Results indicated the influence of ACO on both SCDO and SCR to achieve the desired degree of operational performance. However, under the moderation of environmental uncertainty, the link between ACO and SCDO was not supported, although the link between ACO and SCR was supported and this further enhanced operational performance. Further investigation of unsupported hypotheses using statistical analysis was conducted to gain deeper insights. It is explained how ACO impacted dynamic capabilities to influence operational performance. The contribution to theory of this study lies in explaining the role of dynamic capabilities that emerge from analytics as compared to the traditional view of supply chain classification. Further, the influence of environmental uncertainty on positioning dynamic capabilities strategically to address disruption in supply chains is discussed in the present study.
Identifiants
pubmed: 35095150
doi: 10.1007/s10479-021-04484-4
pii: 4484
pmc: PMC8783764
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1269-1293Informations de copyright
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.
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