A model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peru
Descripción del Articulo
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...
Autores: | , , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2021 |
Institución: | Universidad Peruana de Ciencias Aplicadas |
Repositorio: | UPC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/656006 |
Enlace del recurso: | http://hdl.handle.net/10757/656006 |
Nivel de acceso: | acceso embargado |
Materia: | Agri-food supply chain Interpretive structural modelling ISM Matrice d' impacts croises multiplication appliqué an classement MICMAC Peru Risk management Supply chain |
id |
UUPC_e9064fc684f015d097b7db2fcd8d5464 |
---|---|
oai_identifier_str |
oai:repositorioacademico.upc.edu.pe:10757/656006 |
network_acronym_str |
UUPC |
network_name_str |
UPC-Institucional |
repository_id_str |
2670 |
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 |
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 |
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.contributor.author.fl_str_mv |
Ramos, Edgar Pettit, Timothy J. Habib, Mamun Chavez, Melissa |
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 |
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 |
format |
article |
dc.identifier.issn.none.fl_str_mv |
17415357 |
dc.identifier.doi.none.fl_str_mv |
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 10.1504/IJVCM.2021.112845 17415365 International Journal of Value Chain Management 2-s2.0-85100680409 SCOPUS_ID:85100680409 0000 0001 2196 144X |
url |
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 |
bitstream.checksum.fl_str_mv |
8a4605be74aa9ea9d79846c1fba20a33 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
repository.name.fl_str_mv |
Repositorio académico upc |
repository.mail.fl_str_mv |
upc@openrepository.com |
_version_ |
1837188352880672768 |
spelling |
a9d38e234ed97657b3d30ff0785c11d2b1c5ba696e798e870e2c82b22135e63a50067ae00fc9781626d57073f272b0dccbb300a768ec8ddf10f1b47b6fc412d981bac5500Ramos, EdgarPettit, Timothy J.Habib, MamunChavez, Melissa2021-05-17T20:33:51Z2021-05-17T20:33:51Z2021-01-011741535710.1504/IJVCM.2021.112845http://hdl.handle.net/10757/65600617415365International Journal of Value Chain Management2-s2.0-85100680409SCOPUS_ID:851006804090000 0001 2196 144XDuring 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.application/htmlengInderscience Publishershttps://www.inderscience.com/info/inarticle.php?artid=112845info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCInternational Journal of Value Chain Management1216285reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCAgri-food supply chainInterpretive structural modellingISMMatrice d' impacts croises multiplication appliqué an classementMICMACPeruRisk managementSupply chainA model ISM-MICMAC for managing risk in agri-food supply chain: An investigation from the Andean region of Peruinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656006/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656006oai:repositorioacademico.upc.edu.pe:10757/6560062021-05-18 12:47:13.349Repositorio académico upcupc@openrepository.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 |
score |
13.909954 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).