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The impact of using digital technologies on supply chain resilience and robustness: the role of memory under the covid-19 outbreak
Supply Chain Management ( IF 7.9 ) Pub Date : 2023-01-17 , DOI: 10.1108/scm-06-2022-0217
Murilo Zamboni Alvarenga , Marcos Paulo Valadares de Oliveira , Tiago André Gonçalves Félix de Oliveira

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.



中文翻译:

使用数字技术对供应链弹性和稳健性的影响:记忆在 covid-19 爆发下的作用

目的

本文的主要目的是检查供应链记忆在使用数字技术与供应链弹性和鲁棒性之间的关系中的中介作用。此外,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剂。

设计/方法/途径

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。

发现

本文通过证明处理中断的经验、熟悉程度和知识在一定程度上调节了数字技术、弹性和稳健性之间的关系,从而为理论和实践做出了贡献。此外,我们的结果表明,在发生像 COVID-19 这样的新的极端破坏性事件时,内存对于供应链保持可接受的性能水平的效率较低。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

该研究有助于了解如何开发供应链记忆,将数字技术定位为它的先行者。证明了供应链记忆对供应链弹性和鲁棒性的影响。有关工业 4.0 技术对中断管理的影响的知识在数量上有所提高。它表明数字技术主要通过供应链记忆影响弹性和稳健性。该研究证明,供应链记忆效率较低,因为当发生非常规中断事件时,链条仍然有效,但仍然必须从中恢复。

更新日期:2023-01-14
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