Data analytics dynamic capabilities for Triple-A supply chains

Author:

Daneshvar Kakhki MohammadORCID,Rea AlanORCID,Deiranlou MehdiORCID

Abstract

PurposeThis 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/approachThe authors employ meta-analytic structural equation modeling to test the proposed model by analyzing reported statistics of 117 published studies.FindingsThis 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/valueThe 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.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Industrial relations,Management Information Systems

Reference105 articles.

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