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Data analytics dynamic capabilities for Triple-A supply chains
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AI
DOI：10.1108/IMDS-03-2022-0167.png)
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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.
Keyword:
Data analytics management capability
Supply chain integration
Triple-A supply chains
Meta-analysis structural equation modeling
期刊
I
IF:
4.7
论文数:
2.4K
被引数:
8.8K
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