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Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance

2023-08Artigo científico Acesso aberto
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dc.contributor.authorOliveira-Dias, Diéssica de
dc.contributor.authorMaqueira-Marin, Juan Manuel
dc.contributor.authorMoyano-Fuentes, José
dc.contributor.authorCarvalho, Helena
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.institutionDEMI - Departamento de Engenharia Mecânica e Industrial
dc.contributor.pblElsevier Science B.V., Amsterdam.
dc.date.accessioned2023-06-24T22:15:34Z
dc.date.available2023-06-24T22:15:34Z
dc.date.issued2023-08
dc.descriptionFunding Information: The authors acknowledge the financial support of Spanish Ministry of Science, Innovation and Universities (Research Project PID2019-106577 GB-I00 by MCIN / AEI / 10.13039/501100011033 ), UJA- FEDER Andalusian Operational Program (Research Project 1261128 ), Andalusian Plan for Research, Development and Innovation - PAIDI 2020 (Research Project P20-00794 ). Publisher Copyright: © 2023 The Authors
dc.description.abstractThe adoption of Industry 4.0 (I4.0) technologies in recent years has generated conditions for substantial changes in supply chain management. However, research is still ongoing on how I4.0 technologies can be integrated into current supply chain models to improve supply chain capabilities and performance. This work aims to contribute to understanding the relationships between Industry 4.0 technologies and lean and agile supply chain strategies, and identifying the implications for the focal firm's operational performance. In this study, we focus on a specific group of emerging I4.0 technologies known as I4.0 base technologies (i.e., cloud computing, Internet of Things, and Big Data analytics), whose complementary features can enhance the data collection, storage, and sharing, as well as the analysis processes. Drawing on the Dynamic Capabilities Theory, a structural equation model is used to analyze data collected from 256 Spanish focal manufacturing firms. Results indicate that I4.0 base technologies do not have the same effects on lean and agile supply chain strategies. While I4.0 base technologies can make supply chains leaner, they have been found to have no significant direct effect on agile supply chain implementation. Further, findings indicate a direct relationship between the lean and agile approaches and that the latter generates mediation effects between lean and operational performance.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent12
dc.format.extent911507
dc.identifier.doi10.1016/j.ijpe.2023.108916
dc.identifier.issn0925-5273
dc.identifier.otherPURE: 64499200
dc.identifier.otherPURE UUID: f8181934-36f3-4a6e-bbb1-51393f3208aa
dc.identifier.otherScopus: 85159858128
dc.identifier.otherWOS: 001009107200001
dc.identifier.otherORCID: /0000-0002-1588-0579/work/151408209
dc.identifier.urihttp://hdl.handle.net/10362/154383
dc.identifier.urlhttps://www.scopus.com/pages/publications/85159858128
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT
dc.relationResearch and Development Unit for Mechanical and Industrial Engineering
dc.subjectAgile supply chain
dc.subjectDynamic capabilities
dc.subjectIndustry 4.0 technologies
dc.subjectLean supply chain
dc.subjectGeneral Business,Management and Accounting
dc.subjectEconomics and Econometrics
dc.subjectManagement Science and Operations Research
dc.subjectIndustrial and Manufacturing Engineering
dc.titleImplications of using Industry 4.0 base technologies for lean and agile supply chains and performanceen
dc.typejournal article
degois.publication.titleInternational Journal Of Production Economics
degois.publication.volume262
dspace.entity.typePublication
oaire.awardNumberUIDB/00667/2020
oaire.awardTitleResearch and Development Unit for Mechanical and Industrial Engineering
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication1a4033c7-5add-4c00-8393-eb4bed8a7a8e
relation.isProjectOfPublication.latestForDiscovery1a4033c7-5add-4c00-8393-eb4bed8a7a8e

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