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
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

1269-1293

Informations de copyright

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.

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Auteurs

Issam Laguir (I)

Department of Finance, Control and Law, Montpellier Business School, 2300 Avenue des Moulins, 34185 Montpellier, France.

Sachin Modgil (S)

Department of Operations Management, International Management Institute Kolkata, 2/4 C, Judges Ct Rd, Alipore, Kolkata, West Bengal 700027 India.

Indranil Bose (I)

Department of Information Systems, Supply Chain Management & Decision Support, NEOMA Business School, 59 Rue Pierre Taittinger, 51100 Reims, France.

Shivam Gupta (S)

Department of Information Systems, Supply Chain Management & Decision Support, NEOMA Business School, 59 Rue Pierre Taittinger, 51100 Reims, France.

Rebecca Stekelorum (R)

Department of Strategy and Entrepreneurship, ICN Business School, CEREFIGE, 54000 Nancy, France.

Classifications MeSH