大数据分析如何以及何时见效?价值创造和市场动荡的作用

Ziad H. Abdelmoety
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摘要

基于动态视角,本文试图探讨大数据分析(BDA)的使用对供应链管理领域价值创造的影响。本文还探讨了市场动荡对研究因素之间关系的调节作用。我们收集了埃及供应链经理的数据。我们设法收集了 489 名参与者的数据,并通过结构方程模型对数据进行了分析,以检验我们提出的假设。分析结果表明,BDA 对资产生产率和业务增长具有显著的积极影响。我们的研究还表明,市场动荡缓和了 BDA、资产生产率和业务增长之间的联系。我们的研究为管理者理解 BDA 在供应链管理背景下对价值创造的重要影响提供了有意义的见解。
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How and when do big data analytics pay off? The role of value creation and market turbulence
Based on the dynamic view, our paper seeks to explore the impact of big data analytics usage (BDA) on the value creation in the supply chain management field. It also explores the moderating role of market turbulence on the relationships between the study factors. We gathered data from supply chain managers in the Egyptian context. We managed to gather data from 489 participants and the data were analyzed through structural equation modelling to test our proposed hypotheses. The analysis revealed that BDA has a significant and positive effect on asset productivity and business growth. Our study also indicated that the links among BDA, asset productivity, and business growth were moderated by market turbulence. Our examination offers meaningful insights for manager to understand the significant impact of BDA on value creation in the supply chain management context.
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