大数据分析能力与供应链绩效:供应链弹性与创新的中介作用

Mohammad Bahrami, Sajjad Shokouhyar, Atiyeh Seifian
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引用次数: 18

摘要

目的大数据分析(BDA)能力可以从几个方面影响供应链绩效。本研究的主要目的是了解BDA能力如何通过供应链弹性和供应链创新影响供应链绩效。设计/方法/方法本研究采用横断面方法收集基于调查的回答,以检验假设。因此,在SmartPLS3中使用偏最小二乘法(PLS)收集和分析了187个响应。研究结果表明,BDA能力通过供应链的弹性和创新来提高供应链绩效。独创性/价值本研究还通过证明供应链弹性和供应链创新在BDA能力和供应链绩效之间的中介作用,对现有文献有所贡献。在此背景下,提出并讨论了一些理论和管理意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data analytics capability and supply chain performance: the mediating roles of supply chain resilience and innovation
PurposeBig data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose of this study was to understand how BDA capabilities could affect supply chain performance through supply chain resilience and supply chain innovation.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. Accordingly, 187 responses were collected and analyzed using partial least squares (PLS) in the SmartPLS3.FindingsThe results showed that BDA capabilities improve supply chain performance through resilience and innovation of the supply chain.Originality/valueThe present study also contributed to the existing literature by demonstrating the mediating role of supply chain resilience and supply chain innovation between BDA capabilities and supply chain performance. In this context, some theoretical and managerial implications were proposed and discussed.
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