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Data analytics dynamic capabilities for Triple-A supply chains

Mohammad Daneshvar Kakhki (Department of Business Information Systems, Haworth College of Business, Western Michigan University, Kalamazoo, Michigan, USA)
Alan Rea (Department of Business Information Systems, Haworth College of Business, Western Michigan University, Kalamazoo, Michigan, USA)
Mehdi Deiranlou (Department of Industrial Engineering, University of Bojnord, Bojnord, Iran)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 2 November 2022

Issue publication date: 27 February 2023

355

Abstract

Purpose

This study aims to analyze the mediating role of data analytics management capability (DAMC) in the relationship between supply chain integration (SCI) and supply chain agility, adaptability and alignment (Triple-A). It also studies the role of Triple-A supply chains in performance improvement. We develop and present a model based on our proposition and informed by the dynamic capabilities perspective.

Design/methodology/approach

The authors employ meta-analytic structural equation modeling to test the proposed model by analyzing reported statistics of 117 published studies.

Findings

This study’s results describe why some prior research findings are contradictory. For example, researchers have posited mixed findings on the impact of SCI on agility. The results show that SCI and agility do not have a significant direct association, and DAMC mediates their indirect relationship.

Originality/value

The impact of SCI on performance is debatable. SCI permits access to shared resources for competitive advantage; conversely, SCI-induced rigidity may reduce supply chain agility and adaptability. Informed by dynamic capabilities theory, the authors demonstrate that DAMC positively mediates the impact of SCI on performance.

Keywords

Acknowledgements

Funding: The authors did not receive support from any organization for the submitted work.

Conflict of interest: All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.

Data availability statement: The datasets generated during and/or analyzed during the current study are not publicly available because authors are still analyzing the data for another research. However, the data are available from the corresponding author on reasonable request.

Citation

Daneshvar Kakhki, M., Rea, A. and Deiranlou, M. (2023), "Data analytics dynamic capabilities for Triple-A supply chains", Industrial Management & Data Systems, Vol. 123 No. 2, pp. 534-555. https://doi.org/10.1108/IMDS-03-2022-0167

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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