Identification of the critical enablers for perishable food supply chain using deterministic assessment models

Detalhes bibliográficos
Autor(a) principal: Karanam, Malleswari
Data de Publicação: 2022
Outros Autores: Krishnanand, Lanka, Manupati, Vijaya Kumar, Antosz, Katarzyna, Machado, José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/79832
Resumo: Today’s perishable food supply chains must be resilient to handle volatile demands, environmental restrictions, and disruptions in order to meet customers’ requirements. The enablers of the perishable food supply chain have not yet been explored. In this paper, a bibliometric systematic literature review has been conducted to identify the articles related to the perishable food supply chain. Next, with these identified articles, a map is created with bibliographic data using Vosviewer network visualization software, and then the enablers were identified by conducting keyword co-occurrence analysis. Later, a total interpretive structural modeling (TISM) is employed to analyze the interrelationships among enablers and then determine each enabler’s hierarchies, further representing them in a diagraph. Finally, the identified enablers are classified using cross-impact matrix multiplication applied to classification (MICMAC) analysis, and the graph is plotted. The results obtained from the deterministic assessment model provide the critical enablers for the perishable food supply chain. The obtained critical enablers and their hierarchies provide valuable insights for researchers in the context of perishable food supply chain for further study.
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spelling Identification of the critical enablers for perishable food supply chain using deterministic assessment modelsTotal interpretive structural modeling (TISM)VosviewerPerishable productsEnablersCross impact matrix multiplication applied to classification (MICMAC)Science & TechnologyToday’s perishable food supply chains must be resilient to handle volatile demands, environmental restrictions, and disruptions in order to meet customers’ requirements. The enablers of the perishable food supply chain have not yet been explored. In this paper, a bibliometric systematic literature review has been conducted to identify the articles related to the perishable food supply chain. Next, with these identified articles, a map is created with bibliographic data using Vosviewer network visualization software, and then the enablers were identified by conducting keyword co-occurrence analysis. Later, a total interpretive structural modeling (TISM) is employed to analyze the interrelationships among enablers and then determine each enabler’s hierarchies, further representing them in a diagraph. Finally, the identified enablers are classified using cross-impact matrix multiplication applied to classification (MICMAC) analysis, and the graph is plotted. The results obtained from the deterministic assessment model provide the critical enablers for the perishable food supply chain. The obtained critical enablers and their hierarchies provide valuable insights for researchers in the context of perishable food supply chain for further study.The authors are grateful to FCT - Fundação para a Ciência e Tecnologia who financially supported this work through the RD Units Project Scope: UIDP/04077/2020 and UIDB/04077/2020.Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoKaranam, MalleswariKrishnanand, LankaManupati, Vijaya KumarAntosz, KatarzynaMachado, José2022-04-292022-04-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/79832engKaranam, M.; Krishnanand, L.; Manupati, V.K.; Antosz, K.; Machado, J. Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models. Appl. Sci. 2022, 12, 4503. https://doi.org/10.3390/app120945032076-341710.3390/app120945034503https://www.mdpi.com/2076-3417/12/9/4503info: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:RCAAP2023-07-21T12:09:37Zoai:repositorium.sdum.uminho.pt:1822/79832Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:01:02.415642Repositório 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 Identification of the critical enablers for perishable food supply chain using deterministic assessment models
title Identification of the critical enablers for perishable food supply chain using deterministic assessment models
spellingShingle Identification of the critical enablers for perishable food supply chain using deterministic assessment models
Karanam, Malleswari
Total interpretive structural modeling (TISM)
Vosviewer
Perishable products
Enablers
Cross impact matrix multiplication applied to classification (MICMAC)
Science & Technology
title_short Identification of the critical enablers for perishable food supply chain using deterministic assessment models
title_full Identification of the critical enablers for perishable food supply chain using deterministic assessment models
title_fullStr Identification of the critical enablers for perishable food supply chain using deterministic assessment models
title_full_unstemmed Identification of the critical enablers for perishable food supply chain using deterministic assessment models
title_sort Identification of the critical enablers for perishable food supply chain using deterministic assessment models
author Karanam, Malleswari
author_facet Karanam, Malleswari
Krishnanand, Lanka
Manupati, Vijaya Kumar
Antosz, Katarzyna
Machado, José
author_role author
author2 Krishnanand, Lanka
Manupati, Vijaya Kumar
Antosz, Katarzyna
Machado, José
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Karanam, Malleswari
Krishnanand, Lanka
Manupati, Vijaya Kumar
Antosz, Katarzyna
Machado, José
dc.subject.por.fl_str_mv Total interpretive structural modeling (TISM)
Vosviewer
Perishable products
Enablers
Cross impact matrix multiplication applied to classification (MICMAC)
Science & Technology
topic Total interpretive structural modeling (TISM)
Vosviewer
Perishable products
Enablers
Cross impact matrix multiplication applied to classification (MICMAC)
Science & Technology
description Today’s perishable food supply chains must be resilient to handle volatile demands, environmental restrictions, and disruptions in order to meet customers’ requirements. The enablers of the perishable food supply chain have not yet been explored. In this paper, a bibliometric systematic literature review has been conducted to identify the articles related to the perishable food supply chain. Next, with these identified articles, a map is created with bibliographic data using Vosviewer network visualization software, and then the enablers were identified by conducting keyword co-occurrence analysis. Later, a total interpretive structural modeling (TISM) is employed to analyze the interrelationships among enablers and then determine each enabler’s hierarchies, further representing them in a diagraph. Finally, the identified enablers are classified using cross-impact matrix multiplication applied to classification (MICMAC) analysis, and the graph is plotted. The results obtained from the deterministic assessment model provide the critical enablers for the perishable food supply chain. The obtained critical enablers and their hierarchies provide valuable insights for researchers in the context of perishable food supply chain for further study.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-29
2022-04-29T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/79832
url https://hdl.handle.net/1822/79832
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Karanam, M.; Krishnanand, L.; Manupati, V.K.; Antosz, K.; Machado, J. Identification of the Critical Enablers for Perishable Food Supply Chain Using Deterministic Assessment Models. Appl. Sci. 2022, 12, 4503. https://doi.org/10.3390/app12094503
2076-3417
10.3390/app12094503
4503
https://www.mdpi.com/2076-3417/12/9/4503
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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