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预测供应链弹性和稳健性对新冠疫情影响及绩效的作用:基于资源编排视角的实证研究

Predicting the effects of supply chain resilience and robustness on COVID-19 impacts and performance: Empirical investigation through resources orchestration perspective.

作者信息

El Baz Jamal, Ruel Salomée, Fozouni Ardekani Zahra

机构信息

Ibn Zohr University Agadir - Morocco, ERETTLOG, Morocco.

EXCELIA Group - Supply Chain Purchasing and Project Management - CERIIM, 17000 La Rochelle, France.

出版信息

J Bus Res. 2023 Sep;164:114025. doi: 10.1016/j.jbusres.2023.114025. Epub 2023 May 16.

DOI:10.1016/j.jbusres.2023.114025
PMID:37215460
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10186979/
Abstract

This study investigates the effects of supply chain (SCRE) and robustness (SCRO) on COVID-19 super disruption impacts and firm's financial performance by mobilizing the resources orchestration theory (ROT) as the main theoretical framework. We adopt structural equation modeling analysis of data collected from 289 French companies. The findings reveal the significantly positive influence of resources orchestration on SCRE and SCRO and the role of the latter in mitigating the pandemic disruption impacts. Notwithstanding, depending on whether the measures are objective or subjective, the effects of SCRE and SCRO on financial performance vary. Overall, this paper presents empirical evidence of the influence of both of SCRE and SCRO on pandemic disruption impacts and financial performance. Furthermore, this research provides insights to guide practitioners and decision makers regarding resources orchestration and the deployment of SCRE and SCRO.

摘要

本研究以资源编排理论(ROT)作为主要理论框架,探讨供应链弹性(SCRE)和稳健性(SCRO)对新冠疫情超级干扰影响以及企业财务绩效的作用。我们对从289家法国公司收集的数据采用结构方程模型分析。研究结果揭示了资源编排对供应链弹性和稳健性具有显著的正向影响,以及后者在减轻疫情干扰影响方面的作用。尽管如此,根据措施是客观的还是主观的,供应链弹性和稳健性对财务绩效的影响各不相同。总体而言,本文提供了供应链弹性和稳健性对疫情干扰影响及财务绩效的影响的实证证据。此外,本研究为指导从业者和决策者进行资源编排以及供应链弹性和稳健性的部署提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b43e/10186979/d8d6fdaf5525/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b43e/10186979/d8d6fdaf5525/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b43e/10186979/d8d6fdaf5525/gr1_lrg.jpg

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Int J Prod Econ. 2021 Mar;233:107972. doi: 10.1016/j.ijpe.2020.107972. Epub 2020 Oct 31.
2
Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review.用于供应链弹性的人工智能与大数据分析:一项系统文献综述
Ann Oper Res. 2022 Sep 30:1-28. doi: 10.1007/s10479-022-04983-y.
3
Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic.
通过工业4.0提高供应链弹性:基于新冠疫情影响的系统文献综述
Comput Ind Eng. 2021 Aug;158:107452. doi: 10.1016/j.cie.2021.107452. Epub 2021 Jun 8.
4
Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective.新冠疫情期间英国供应链的韧性:资源编排视角
Int J Prod Econ. 2022 Mar;245:108405. doi: 10.1016/j.ijpe.2021.108405. Epub 2022 Jan 3.
5
Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions.食品零售供应链韧性与新冠疫情:基于数字孪生的影响分析及改进方向
Transp Res E Logist Transp Rev. 2021 Aug;152:102412. doi: 10.1016/j.tre.2021.102412. Epub 2021 Jun 30.
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Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context.在新冠疫情背景下,考虑恢复策略的基于模拟的供应链弹性评估
Comput Ind Eng. 2021 Oct;160:107593. doi: 10.1016/j.cie.2021.107593. Epub 2021 Jul 30.
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Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains.走出新冠疫情:余震风险与避免供应链中断的长尾效应
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