A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru

During recent years, supply chain risks have gained importance in the food supply chain. This study presents a methodology to analyse the risk in the agri-food supply chain belonging to the Andean region in Peru. It utilises the interpretive structural modelling (ISM) with matrice d' impacts cr...

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Detalles Bibliográficos
Autores: Ramos, Edgar, Pettit, Timothy J., Habib, Mamun, Chavez, Melissa
Tipo de recurso: artículo
Fecha de publicación:2021
País:Perú
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Idioma:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656006
Acceso en línea:https://doi.org/10.1504/IJVCM.2021.112845
http://hdl.handle.net/10757/656006
Access Level:acceso embargado
Palabra clave:Agri-food supply chain
Interpretive structural modelling
ISM
Matrice d' impacts croises multiplication appliqué an classement
MICMAC
Peru
Risk management
Supply chain
https://purl.org/pe-repo/ocde/ford#2.11.04
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oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/656006
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network_name_str Perú
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dc.title.en_US.fl_str_mv A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
title A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
spellingShingle A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
Ramos, Edgar
Agri-food supply chain
Interpretive structural modelling
ISM
Matrice d' impacts croises multiplication appliqué an classement
MICMAC
Peru
Risk management
Supply chain
https://purl.org/pe-repo/ocde/ford#2.11.04
title_short A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
title_full A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
title_fullStr A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
title_full_unstemmed A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
title_sort A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
dc.creator.none.fl_str_mv Ramos, Edgar
Pettit, Timothy J.
Habib, Mamun
Chavez, Melissa
author Ramos, Edgar
author_facet Ramos, Edgar
Pettit, Timothy J.
Habib, Mamun
Chavez, Melissa
author_role author
author2 Pettit, Timothy J.
Habib, Mamun
Chavez, Melissa
author2_role author
author
author
dc.subject.en_US.fl_str_mv Agri-food supply chain
Interpretive structural modelling
ISM
Matrice d' impacts croises multiplication appliqué an classement
MICMAC
Peru
Risk management
Supply chain
topic Agri-food supply chain
Interpretive structural modelling
ISM
Matrice d' impacts croises multiplication appliqué an classement
MICMAC
Peru
Risk management
Supply chain
https://purl.org/pe-repo/ocde/ford#2.11.04
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.04
description During recent years, supply chain risks have gained importance in the food supply chain. This study presents a methodology to analyse the risk in the agri-food supply chain belonging to the Andean region in Peru. It utilises the interpretive structural modelling (ISM) with matrice d' impacts croises multiplication appliqué an classement (cross-impact matrix multiplication applied to classification, abbreviated as MICMAC) to identify and understand relationships between risk types. Based on the empirical data collected from the food industry experts, ten risk factors were identified as relevant. Finally, the identified risks were classified using ISM-MICMAC methodology. The research findings demonstrated that natural disaster, environmental, and legal risks were the most substantial. The findings highlight that selected methods are capable of recognising the most substantial risks that are most critical to assess, manage with adequate mitigation actions from the practitioners in the agri-food industry.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-05-17T20:33:51Z
dc.date.available.none.fl_str_mv 2021-05-17T20:33:51Z
dc.date.issued.fl_str_mv 2021-01-01
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a2713
format article
dc.identifier.issn.none.fl_str_mv 17415357
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1504/IJVCM.2021.112845
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656006
dc.identifier.eissn.none.fl_str_mv 17415365
dc.identifier.journal.en_US.fl_str_mv International Journal of Value Chain Management
dc.identifier.eid.none.fl_str_mv 2-s2.0-85100680409
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85100680409
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 17415357
17415365
International Journal of Value Chain Management
2-s2.0-85100680409
SCOPUS_ID:85100680409
0000 0001 2196 144X
url https://doi.org/10.1504/IJVCM.2021.112845
http://hdl.handle.net/10757/656006
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://www.inderscience.com/info/inarticle.php?artid=112845
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/html
dc.publisher.en_US.fl_str_mv Inderscience Publishers
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv International Journal of Value Chain Management
dc.source.volume.none.fl_str_mv 12
dc.source.issue.none.fl_str_mv 1
dc.source.beginpage.none.fl_str_mv 62
dc.source.endpage.none.fl_str_mv 85
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656006/1/license.txt
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