The impact of using digital technologies on supply chain resilience and robustness: the role of memory under the covid-19 outbreak

IF 2.4 Q3 MANAGEMENT
M. Alvarenga, Marcos Paulo Valadares de Oliveira, T. Oliveira
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引用次数: 5

Abstract

Purpose This paper’s main aim is to check the mediating effect of supply chain memory in the relationship between using digital technologies and both supply chain resilience and robustness. In addition, the impact of the COVID-19 disruption was tested as a moderator of the impact of supply chain memory on supply chain resilience and robustness. Design/methodology/approach Altogether, 257 supply chain managers answered the questionnaire, and data were analysed through structural equation modelling. Findings This paper contributes to theory and practice by demonstrating that the experience, familiarity and knowledge to deal with disruptions partially mediate the relationship between digital technologies, resilience and robustness. Moreover, our results show that memory is less efficient for the supply chain to maintain an acceptable level of performance in case of a new extreme disruptive event like COVID-19. The full model was able to explain 36.90% of supply chain memory, 41.58% of supply chain resilience and 46.21% of supply chain robustness. Originality/value The study helps to understand how to develop supply chain memory, positioning digital technologies as an antecedent of it. The impact of supply chain memory on supply chain resilience and robustness is proved. Knowledge about the impact of industry 4.0 technologies on disruption management is quantitatively improved. It demonstrates that digital technologies impact resilience and robustness mainly through supply chain memory. The study proves that supply chain memory is less efficient for the chain remains effective when a non-routine disruptive event occurs, but it is still imperative to recover from it.
使用数字技术对供应链弹性和稳健性的影响:记忆在covid-19疫情中的作用
本文的主要目的是检验供应链记忆在数字技术使用与供应链弹性和稳健性之间的中介作用。此外,我们还测试了COVID-19中断的影响作为供应链记忆对供应链弹性和稳健性影响的调节因子。总共有257名供应链经理回答了问卷,并通过结构方程模型对数据进行了分析。研究结果表明,处理中断的经验、熟悉度和知识在一定程度上调解了数字技术、弹性和稳健性之间的关系,这对理论和实践都有贡献。此外,我们的研究结果表明,在COVID-19等新的极端破坏性事件的情况下,供应链要保持可接受的性能水平,内存的效率较低。完整模型能够解释36.90%的供应链记忆、41.58%的供应链弹性和46.21%的供应链稳健性。原创性/价值本研究有助于理解如何发展供应链记忆,将数字技术定位为其先决条件。证明了供应链记忆对供应链弹性和鲁棒性的影响。关于工业4.0技术对中断管理的影响的知识在定量上得到改善。研究表明,数字技术主要通过供应链记忆影响弹性和鲁棒性。研究证明,供应链记忆的效率较低,因为当发生非常规中断事件时,供应链仍然有效,但仍然需要从中断事件中恢复。
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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来源期刊
CiteScore
5.40
自引率
27.80%
发文量
22
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