Data analytics dynamic capabilities for Triple-A supply chains

Mohammad Daneshvar Kakhki, Alan I. Rea, Mehdi Deiranlou
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引用次数: 2

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.
aaa级供应链的数据分析动态能力
目的本研究旨在分析数据分析管理能力(DAMC)在供应链整合(SCI)与供应链敏捷性、适应性和一致性(aaa)关系中的中介作用。它还研究了aaa级供应链在绩效改进中的作用。我们根据我们的主张和动态能力视角开发并呈现了一个模型。设计/方法/方法作者采用元分析结构方程模型,通过分析117项已发表研究的统计数据来检验所提出的模型。这项研究的结果描述了为什么一些先前的研究结果是矛盾的。例如,研究人员对脊髓损伤对敏捷性的影响提出了不同的研究结果。结果表明,SCI与敏捷性之间不存在显著的直接关联,DAMC在二者之间起间接中介作用。独创性/价值SCI对业绩的影响是有争议的。SCI允许共享资源以获得竞争优势;相反,sci引起的刚性可能会降低供应链的敏捷性和适应性。根据动态能力理论,作者论证了DAMC正中介SCI对绩效的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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