COVID 复制和扩展企业对供应链中断的恢复能力

R. Anthony Inman, Kenneth W. Green, Matthew D. Roberts
{"title":"COVID 复制和扩展企业对供应链中断的恢复能力","authors":"R. Anthony Inman, Kenneth W. Green, Matthew D. Roberts","doi":"10.1108/scm-06-2023-0297","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The purpose is to replicate and extend Ambulkar <em>et al.</em>’s (2015) work testing resource reconfiguration as a mediator of the supply chain disruption/firm resilience relationship and testing risk management infrastructure as a moderator. This study extends the work of Ambulkar in that it uses analysis of survey data gathered from manufacturing firms during an actual disruption event (COVID-19). The previous work is also in extended in that the authors include a pandemic disruption impact variable and supply chain performance is an expanded model.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>Partial least squares structural equation modeling techniques were used to analyze data gathered from 184 US manufacturing managers during the height (Summer 2021) of the COVID-19 pandemic.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Two of four of Ambulkars <em>et al.</em>’s (2015) hypotheses were confirmed as relevant to firm resilience during the pandemic while two were not confirmed. Results also show that supply chain disruption orientation, risk management infrastructure and resource reconfiguration combine to improve firm resilience, which in turn improves supply chain performance while mitigating the disruption impact of COVID-19.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>Previous work is replicated and extended, using data from an actual disruption event (COVID-19). This study presents a more comprehensive model using a newly developed and validated scale to measure pandemic impact and including supply chain performance.</p><!--/ Abstract__block -->","PeriodicalId":30468,"journal":{"name":"Supply Chain Management Journal","volume":"151 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A COVID replication and extension of firms’ resilience to supply chain disruptions\",\"authors\":\"R. Anthony Inman, Kenneth W. Green, Matthew D. Roberts\",\"doi\":\"10.1108/scm-06-2023-0297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>The purpose is to replicate and extend Ambulkar <em>et al.</em>’s (2015) work testing resource reconfiguration as a mediator of the supply chain disruption/firm resilience relationship and testing risk management infrastructure as a moderator. This study extends the work of Ambulkar in that it uses analysis of survey data gathered from manufacturing firms during an actual disruption event (COVID-19). The previous work is also in extended in that the authors include a pandemic disruption impact variable and supply chain performance is an expanded model.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>Partial least squares structural equation modeling techniques were used to analyze data gathered from 184 US manufacturing managers during the height (Summer 2021) of the COVID-19 pandemic.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>Two of four of Ambulkars <em>et al.</em>’s (2015) hypotheses were confirmed as relevant to firm resilience during the pandemic while two were not confirmed. Results also show that supply chain disruption orientation, risk management infrastructure and resource reconfiguration combine to improve firm resilience, which in turn improves supply chain performance while mitigating the disruption impact of COVID-19.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>Previous work is replicated and extended, using data from an actual disruption event (COVID-19). This study presents a more comprehensive model using a newly developed and validated scale to measure pandemic impact and including supply chain performance.</p><!--/ Abstract__block -->\",\"PeriodicalId\":30468,\"journal\":{\"name\":\"Supply Chain Management Journal\",\"volume\":\"151 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Supply Chain Management Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/scm-06-2023-0297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supply Chain Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/scm-06-2023-0297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的 本研究旨在复制和扩展 Ambulkar 等人(2015 年)的研究成果,测试资源重新配置作为供应链中断/企业复原力关系的中介因素,并测试风险管理基础设施作为调节因素的作用。本研究对 Ambulkar 的工作进行了扩展,使用了在实际中断事件(COVID-19)中从制造企业收集的调查数据分析。研究结果Ambulkars 等人(2015 年)提出的四个假设中,有两个被证实与企业在大流行病期间的恢复力相关,有两个未被证实。结果还显示,供应链中断导向、风险管理基础设施和资源重新配置共同提高了企业的恢复力,这反过来又提高了供应链绩效,同时减轻了 COVID-19 的中断影响。本研究提出了一个更全面的模型,使用新开发和验证的量表来衡量大流行病的影响,包括供应链绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A COVID replication and extension of firms’ resilience to supply chain disruptions

Purpose

The purpose is to replicate and extend Ambulkar et al.’s (2015) work testing resource reconfiguration as a mediator of the supply chain disruption/firm resilience relationship and testing risk management infrastructure as a moderator. This study extends the work of Ambulkar in that it uses analysis of survey data gathered from manufacturing firms during an actual disruption event (COVID-19). The previous work is also in extended in that the authors include a pandemic disruption impact variable and supply chain performance is an expanded model.

Design/methodology/approach

Partial least squares structural equation modeling techniques were used to analyze data gathered from 184 US manufacturing managers during the height (Summer 2021) of the COVID-19 pandemic.

Findings

Two of four of Ambulkars et al.’s (2015) hypotheses were confirmed as relevant to firm resilience during the pandemic while two were not confirmed. Results also show that supply chain disruption orientation, risk management infrastructure and resource reconfiguration combine to improve firm resilience, which in turn improves supply chain performance while mitigating the disruption impact of COVID-19.

Originality/value

Previous work is replicated and extended, using data from an actual disruption event (COVID-19). This study presents a more comprehensive model using a newly developed and validated scale to measure pandemic impact and including supply chain performance.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
15 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信