Can smart supply chain bring agility and resilience for enhanced sustainable business performance?

Mahak Sharma, Rose Antony, Ashu Sharma, Tugrul U. Daim
{"title":"Can smart supply chain bring agility and resilience for enhanced sustainable business performance?","authors":"Mahak Sharma, Rose Antony, Ashu Sharma, Tugrul U. Daim","doi":"10.1108/ijlm-09-2023-0381","DOIUrl":null,"url":null,"abstract":"PurposeSupply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.Design/methodology/approachThe study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.FindingsThe results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.Originality/valueThis study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.","PeriodicalId":504446,"journal":{"name":"The International Journal of Logistics Management","volume":"39 36","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Journal of Logistics Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijlm-09-2023-0381","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

PurposeSupply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.Design/methodology/approachThe study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.FindingsThe results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.Originality/valueThis study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.
智能供应链能否带来灵活性和弹性,从而提高可持续的业务绩效?
目的 在这个动荡不安、竞争激烈的市场中,必须使供应链具有活力,而这可以通过数字化来实现。本研究试图从基于自然资源的视角出发,探讨工业 4.0、智能供应链、供应链敏捷性和供应链复原力对可持续业务绩效的作用。本研究使用基于协方差的结构方程建模法对所提出的模型进行检验,并分别使用 AMOS 和 SPSS 中的人工神经网络方法进一步研究每个构造的排序。通过有目的的抽样,共选取了 234 名受访者,以了解英国供应链的行业实践。为研究共同方法偏差,进行了全面的共线性检验,并使用项目内容效度指数和量表内容效度指数进行了内容效度检验。研究结果表明,工业 4.0 实践对创建智能供应链和最终实现可持续供应链具有重要影响。通过智能供应链,工业 4.0 与供应链敏捷性之间建立了部分关系。这项研究从经验上再次证明了绿色实践、工业 4.0、智能供应链、供应链敏捷性和供应链弹性对可持续商业价值的综合影响。本研究还使用了 ANN 方法来确定 SEM 分析中发现的每个重要变量的相对重要性。方差网络确定了重要变量之间的排序,即供应链弹性 > 绿色实践 > 工业 4.0 > 智能供应链 > 供应链敏捷性,排序从高到低依次为:供应链弹性 > 绿色实践 > 工业 4.0 > 智能供应链 > 供应链敏捷性。这项工作加强了综合模型,该模型结合了迄今为止在先前文献中孤立处理的所有构造。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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