Data analytics dynamic capabilities for Triple-A supply chains
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 2 November 2022
Issue publication date: 27 February 2023
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
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