Analytical supply chains: Are they more resilient? A model’s proposition
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | JOSCM. Journal of Operations and Supply Chain Management |
DOI: | 10.12660/joscmv11n2p46-58 |
Texto Completo: | https://periodicos.fgv.br/joscm/article/view/73915 |
Resumo: | Understanding that disruptions can be devastating, the ability of supply chains to return, as quickly as possible, to their normal state, after disruptions, has been considered as important as optimizing their flows. According to the literature, companies must develop capabilities and invest in risk management to improve their supply chain resilience, however almost nothing has been investigated about the role of the analytical orientation for those purposes. Assuming that analytical orientation is essential for supply chains to recover from interruptions, this theoretical essay aimed at proposing its inclusion in an initial supply chain resilience model, based on literature review. As a contribution, this paper aims at presenting a model that will enlarge the discussion about this theme, which can be empirically tested in a future research. |
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JOSCM. Journal of Operations and Supply Chain Management |
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Analytical supply chains: Are they more resilient? A model’s propositionSupply chain resilienceanalytical supply chainsbusiness analyticsresilience capabilitiesmodelUnderstanding that disruptions can be devastating, the ability of supply chains to return, as quickly as possible, to their normal state, after disruptions, has been considered as important as optimizing their flows. According to the literature, companies must develop capabilities and invest in risk management to improve their supply chain resilience, however almost nothing has been investigated about the role of the analytical orientation for those purposes. Assuming that analytical orientation is essential for supply chains to recover from interruptions, this theoretical essay aimed at proposing its inclusion in an initial supply chain resilience model, based on literature review. As a contribution, this paper aims at presenting a model that will enlarge the discussion about this theme, which can be empirically tested in a future research.FGV EAESP2018-11-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.fgv.br/joscm/article/view/7391510.12660/joscmv11n2p46-58Journal of Operations and Supply Chain Management; Vol. 11 No. 2 (2018): July-December; 46-58Journal of Operations and Supply Chain Management; v. 11 n. 2 (2018): July-December; 46-581984-3046reponame:JOSCM. Journal of Operations and Supply Chain Managementinstname:Fundação Getulio Vargas (FGV)instacron:FGVenghttps://periodicos.fgv.br/joscm/article/view/73915/pdf_58Copyright (c) 2018 Journal of Operations and Supply Chain Managementinfo:eu-repo/semantics/openAccessAlvarenga, Murilo Zambonide Oliveira, Marcos Paulo ValadaresFilho, Hélio Zanquettodos Santos, Washington Romão2019-02-15T18:21:48Zoai:ojs.periodicos.fgv.br:article/73915Revistahttp://bibliotecadigital.fgv.br/ojs/index.php/joscmPRIhttp://bibliotecadigital.fgv.br/ojs/index.php/joscm/oai||joscm@fgv.br1984-30461984-3046opendoar:2019-02-15T18:21:48JOSCM. Journal of Operations and Supply Chain Management - Fundação Getulio Vargas (FGV)false |
dc.title.none.fl_str_mv |
Analytical supply chains: Are they more resilient? A model’s proposition |
title |
Analytical supply chains: Are they more resilient? A model’s proposition |
spellingShingle |
Analytical supply chains: Are they more resilient? A model’s proposition Analytical supply chains: Are they more resilient? A model’s proposition Alvarenga, Murilo Zamboni Supply chain resilience analytical supply chains business analytics resilience capabilities model Alvarenga, Murilo Zamboni Supply chain resilience analytical supply chains business analytics resilience capabilities model |
title_short |
Analytical supply chains: Are they more resilient? A model’s proposition |
title_full |
Analytical supply chains: Are they more resilient? A model’s proposition |
title_fullStr |
Analytical supply chains: Are they more resilient? A model’s proposition Analytical supply chains: Are they more resilient? A model’s proposition |
title_full_unstemmed |
Analytical supply chains: Are they more resilient? A model’s proposition Analytical supply chains: Are they more resilient? A model’s proposition |
title_sort |
Analytical supply chains: Are they more resilient? A model’s proposition |
author |
Alvarenga, Murilo Zamboni |
author_facet |
Alvarenga, Murilo Zamboni Alvarenga, Murilo Zamboni de Oliveira, Marcos Paulo Valadares Filho, Hélio Zanquetto dos Santos, Washington Romão de Oliveira, Marcos Paulo Valadares Filho, Hélio Zanquetto dos Santos, Washington Romão |
author_role |
author |
author2 |
de Oliveira, Marcos Paulo Valadares Filho, Hélio Zanquetto dos Santos, Washington Romão |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Alvarenga, Murilo Zamboni de Oliveira, Marcos Paulo Valadares Filho, Hélio Zanquetto dos Santos, Washington Romão |
dc.subject.por.fl_str_mv |
Supply chain resilience analytical supply chains business analytics resilience capabilities model |
topic |
Supply chain resilience analytical supply chains business analytics resilience capabilities model |
description |
Understanding that disruptions can be devastating, the ability of supply chains to return, as quickly as possible, to their normal state, after disruptions, has been considered as important as optimizing their flows. According to the literature, companies must develop capabilities and invest in risk management to improve their supply chain resilience, however almost nothing has been investigated about the role of the analytical orientation for those purposes. Assuming that analytical orientation is essential for supply chains to recover from interruptions, this theoretical essay aimed at proposing its inclusion in an initial supply chain resilience model, based on literature review. As a contribution, this paper aims at presenting a model that will enlarge the discussion about this theme, which can be empirically tested in a future research. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-17 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.fgv.br/joscm/article/view/73915 10.12660/joscmv11n2p46-58 |
url |
https://periodicos.fgv.br/joscm/article/view/73915 |
identifier_str_mv |
10.12660/joscmv11n2p46-58 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.fgv.br/joscm/article/view/73915/pdf_58 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Journal of Operations and Supply Chain Management info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Journal of Operations and Supply Chain Management |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
FGV EAESP |
publisher.none.fl_str_mv |
FGV EAESP |
dc.source.none.fl_str_mv |
Journal of Operations and Supply Chain Management; Vol. 11 No. 2 (2018): July-December; 46-58 Journal of Operations and Supply Chain Management; v. 11 n. 2 (2018): July-December; 46-58 1984-3046 reponame:JOSCM. Journal of Operations and Supply Chain Management instname:Fundação Getulio Vargas (FGV) instacron:FGV |
instname_str |
Fundação Getulio Vargas (FGV) |
instacron_str |
FGV |
institution |
FGV |
reponame_str |
JOSCM. Journal of Operations and Supply Chain Management |
collection |
JOSCM. Journal of Operations and Supply Chain Management |
repository.name.fl_str_mv |
JOSCM. Journal of Operations and Supply Chain Management - Fundação Getulio Vargas (FGV) |
repository.mail.fl_str_mv |
||joscm@fgv.br |
_version_ |
1822181227928485888 |
dc.identifier.doi.none.fl_str_mv |
10.12660/joscmv11n2p46-58 |