Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact

Detalhes bibliográficos
Autor(a) principal: Azevedo, Susana Garrido
Data de Publicação: 2021
Outros Autores: Pimentel, Carina M. O., Alves, Anabela C., Matia, João C. O.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/94144
https://doi.org/10.3390/app11073026
Resumo: This paper aims to present a study of the type of advanced technologies used across manufacturing supply chains in supporting the main processes of the supply chain operations reference model (SCOR). It also intends to identify a set of sustainable performance indicators (environmental, economic, and social) suitable to evaluate a supply chain 4.0 (SC4.0). To attain this objective, based on the literature review, a conceptual model is proposed. The multiple case study is used with a cross-case comparison to identify the type of advanced technologies more commonly used in SC4.0, and the performance indicators more suitable for assessing a SC4.0 sustainability performance. A sample of ten case studies was considered with companies belonging to different manufacturing SCs, from different countries, and belonging to different echelons. Main findings revealed that the level of adoption of advanced technologies in the Supply Chain SCOR processes varies amongst the case studies. Some technologies are quite commonly used among the several SCOR processes and companies while others are seldom applied. Some indicators were also identified that are regarded as very or extremely suitable to evaluate the sustainability performance of a SC4.0. The main contribution of this research to the body of knowledge is the empirical insights on the SC4.0 field and on Supply Chain Sustainability performance measurement. The results provide guidelines for the selection of advanced technologies to support SC processes and for the design of sustainable SC4.0 performance measurement systems.
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spelling Support of Advanced Technologies in Supply Chain Processes and Sustainability ImpactSupply Chain 4.0; sustainability; SCOR model; manufacturing supply chain; advanced technologies; case study; cross-country comparisonThis paper aims to present a study of the type of advanced technologies used across manufacturing supply chains in supporting the main processes of the supply chain operations reference model (SCOR). It also intends to identify a set of sustainable performance indicators (environmental, economic, and social) suitable to evaluate a supply chain 4.0 (SC4.0). To attain this objective, based on the literature review, a conceptual model is proposed. The multiple case study is used with a cross-case comparison to identify the type of advanced technologies more commonly used in SC4.0, and the performance indicators more suitable for assessing a SC4.0 sustainability performance. A sample of ten case studies was considered with companies belonging to different manufacturing SCs, from different countries, and belonging to different echelons. Main findings revealed that the level of adoption of advanced technologies in the Supply Chain SCOR processes varies amongst the case studies. Some technologies are quite commonly used among the several SCOR processes and companies while others are seldom applied. Some indicators were also identified that are regarded as very or extremely suitable to evaluate the sustainability performance of a SC4.0. The main contribution of this research to the body of knowledge is the empirical insights on the SC4.0 field and on Supply Chain Sustainability performance measurement. The results provide guidelines for the selection of advanced technologies to support SC processes and for the design of sustainable SC4.0 performance measurement systems.2021-03-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/94144http://hdl.handle.net/10316/94144https://doi.org/10.3390/app11073026enghttps://www.mdpi.com/2076-3417/11/7/3026Azevedo, Susana GarridoPimentel, Carina M. O.Alves, Anabela C.Matia, João C. O.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-05-25T07:36:02Zoai:estudogeral.uc.pt:10316/94144Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:12:55.840881Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact
title Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact
spellingShingle Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact
Azevedo, Susana Garrido
Supply Chain 4.0; sustainability; SCOR model; manufacturing supply chain; advanced technologies; case study; cross-country comparison
title_short Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact
title_full Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact
title_fullStr Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact
title_full_unstemmed Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact
title_sort Support of Advanced Technologies in Supply Chain Processes and Sustainability Impact
author Azevedo, Susana Garrido
author_facet Azevedo, Susana Garrido
Pimentel, Carina M. O.
Alves, Anabela C.
Matia, João C. O.
author_role author
author2 Pimentel, Carina M. O.
Alves, Anabela C.
Matia, João C. O.
author2_role author
author
author
dc.contributor.author.fl_str_mv Azevedo, Susana Garrido
Pimentel, Carina M. O.
Alves, Anabela C.
Matia, João C. O.
dc.subject.por.fl_str_mv Supply Chain 4.0; sustainability; SCOR model; manufacturing supply chain; advanced technologies; case study; cross-country comparison
topic Supply Chain 4.0; sustainability; SCOR model; manufacturing supply chain; advanced technologies; case study; cross-country comparison
description This paper aims to present a study of the type of advanced technologies used across manufacturing supply chains in supporting the main processes of the supply chain operations reference model (SCOR). It also intends to identify a set of sustainable performance indicators (environmental, economic, and social) suitable to evaluate a supply chain 4.0 (SC4.0). To attain this objective, based on the literature review, a conceptual model is proposed. The multiple case study is used with a cross-case comparison to identify the type of advanced technologies more commonly used in SC4.0, and the performance indicators more suitable for assessing a SC4.0 sustainability performance. A sample of ten case studies was considered with companies belonging to different manufacturing SCs, from different countries, and belonging to different echelons. Main findings revealed that the level of adoption of advanced technologies in the Supply Chain SCOR processes varies amongst the case studies. Some technologies are quite commonly used among the several SCOR processes and companies while others are seldom applied. Some indicators were also identified that are regarded as very or extremely suitable to evaluate the sustainability performance of a SC4.0. The main contribution of this research to the body of knowledge is the empirical insights on the SC4.0 field and on Supply Chain Sustainability performance measurement. The results provide guidelines for the selection of advanced technologies to support SC processes and for the design of sustainable SC4.0 performance measurement systems.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-29
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/94144
http://hdl.handle.net/10316/94144
https://doi.org/10.3390/app11073026
url http://hdl.handle.net/10316/94144
https://doi.org/10.3390/app11073026
dc.language.iso.fl_str_mv eng
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