供应链复杂性对供应链弹性的影响:大数据分析的中介效应

IF 6.1 3区 管理学 Q1 ENGINEERING, INDUSTRIAL
Anas Iftikhar, Laura Purvis, I. Giannoccaro, Yingli Wang
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引用次数: 29

摘要

供应链(SC)越来越复杂,如果由此产生的复杂性没有得到有效管理,可能会给公司带来不利后果。在现有文献中,大数据分析(BDA)对管理不同类型的供应链复杂性的影响还没有得到很好的理解。基于来自巴基斯坦的166家公司的样本,本研究实证调查了BDA以及结构和动态供应链复杂性对供应链弹性的影响。本研究还探讨了BDA在SC复杂性和SC弹性之间的中介作用。研究发现,结构供应链复杂性正向影响供应链弹性,而动态供应链复杂性似乎没有显著影响。我们还发现BDA对结构和动态SC复杂性对SC弹性的中介作用。我们的研究结果通过对不同类型的SC复杂性提供更细致的理解,为现有的研究BDA和SC弹性的文献做出了贡献。我们对BDA在两种类型的SC复杂性和SC弹性之间的关键联系中的中介作用建立了更批判性的理解。该模型强调结构供应链复杂性与供应链弹性之间存在直接和间接影响,而动态供应链复杂性仅通过BDA影响供应链弹性。这些发现为供应链管理人员提供了战略见解,说明在哪里投资BDA以建立急需的供应链弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of supply chain complexities on supply chain resilience: the mediating effect of big data analytics
Supply chains (SC) are increasingly complex and if the resulting complexity is not managed effectively, it could lead to adverse consequences for the firm. The effect big data analytics (BDA) can have on managing distinct types of SC complexity is not well understood in the extant literature. Based on a sample of 166 firms from Pakistan, this study empirically investigates the effects of BDA, and of structural and dynamic SC complexities, on SC resilience. The study also investigates the role of BDA as a mediator between SC complexities and SC resilience. We find that structural SC complexity positively affects SC resilience, while there doesn’t seem to be a significant impact for dynamic SC complexity. We also find a mediating effect of BDA for structural and dynamic SC complexities on SC resilience. Our results contribute to the extant literature investigating BDA and SC resilience by offering a more nuanced understanding of distinct types of SC complexities. We establish a more critical understanding of the role of BDA in mediating the critical link between the two types of SC complexity and SC resilience. The proposed model highlights that there are both direct and indirect effects between structural SC complexity and SC resilience, however dynamic SC complexity only influences SC resilience via BDA. These findings provide strategic insights for SC executives as to where to invest in BDA to build much needed SC resilience.
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来源期刊
Production Planning & Control
Production Planning & Control 管理科学-工程:工业
CiteScore
19.30
自引率
9.60%
发文量
72
审稿时长
6-12 weeks
期刊介绍: Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.
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