A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case

The impact of the pandemic and the lockdown has been more devastating than expected on the world economy. It is essential to formulate strategies in real-time. In this research, a multicriteria decision-making model for increasing the preparedness level of sales departments when facing COVID-19 wave...

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Autores:
Ortiz-Barrios, Miguel
Borrego-Areyanes, Arlen Alaine
Gómez-Villar, Iván Darío
De Felice, Fabio
Petrillo, Antonella
Gul, Muhammet
YUCESAN, Melih
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8467
Acceso en línea:
https://hdl.handle.net/11323/8467
https://doi.org/10.1016/j.ijdrr.2021.102411
https://repositorio.cuc.edu.co/
Palabra clave:
Multiple criteria analysis
Operational research
Disaster preparedness
Pandemics
COVID-19
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_af34f079b28da57ffa033f6cdc5f6ff8
oai_identifier_str oai:repositorio.cuc.edu.co:11323/8467
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
title A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
spellingShingle A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
Multiple criteria analysis
Operational research
Disaster preparedness
Pandemics
COVID-19
title_short A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
title_full A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
title_fullStr A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
title_full_unstemmed A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
title_sort A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
dc.creator.fl_str_mv Ortiz-Barrios, Miguel
Borrego-Areyanes, Arlen Alaine
Gómez-Villar, Iván Darío
De Felice, Fabio
Petrillo, Antonella
Gul, Muhammet
YUCESAN, Melih
dc.contributor.author.spa.fl_str_mv Ortiz-Barrios, Miguel
Borrego-Areyanes, Arlen Alaine
Gómez-Villar, Iván Darío
De Felice, Fabio
Petrillo, Antonella
Gul, Muhammet
YUCESAN, Melih
dc.subject.spa.fl_str_mv Multiple criteria analysis
Operational research
Disaster preparedness
Pandemics
COVID-19
topic Multiple criteria analysis
Operational research
Disaster preparedness
Pandemics
COVID-19
description The impact of the pandemic and the lockdown has been more devastating than expected on the world economy. It is essential to formulate strategies in real-time. In this research, a multicriteria decision-making model for increasing the preparedness level of sales departments when facing COVID-19 waves and future pandemics is proposed. The model is comprised of 8 criteria, 29 sub-criteria, and 7 alternatives. The study is based on the integration of the AHP and TOPSIS techniques. AHP is used for calculating the criteria and sub-criteria weights. While, TOPSIS is used for calculating the preparedness level, ranking the companies, and identifying the weaknesses that should be addressed for increasing their effectiveness in the current market scenario. The model is developed with the aid of an experts’ group from the electrical appliance sector and studies from the reported literature. This application is completely novel in the literature and has been applied in the wild with remarkable companies in Colombia. A case study in the electrical appliance sector is presented as a pilot study but it should be noted that the methodology is flexible and scalable in any scenario.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-07-14T13:05:20Z
dc.date.available.none.fl_str_mv 2021-07-14T13:05:20Z
dc.date.issued.none.fl_str_mv 2021
dc.date.embargoEnd.none.fl_str_mv 2023
dc.type.spa.fl_str_mv Pre-Publicación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/preprint
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dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
format http://purl.org/coar/resource_type/c_816b
status_str acceptedVersion
dc.identifier.issn.spa.fl_str_mv 2212-4209
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/8467
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.ijdrr.2021.102411
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 2212-4209
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/8467
https://doi.org/10.1016/j.ijdrr.2021.102411
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
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[44] S. Ghosh, A. Das, T.K. Hembram, B. Pradhan, A.M. Alamri Impact of COVID-19 induced lockdown on environmental quality in four Indian megacities Using Landsat 8 OLI and TIRS-derived data and Mamdani fuzzy logic modelling approach Sustainability, 12 (13) (2020), p. 5464, 10.3390/su12135464
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spelling Ortiz-Barrios, MiguelBorrego-Areyanes, Arlen AlaineGómez-Villar, Iván DaríoDe Felice, FabioPetrillo, AntonellaGul, MuhammetYUCESAN, Melih2021-07-14T13:05:20Z2021-07-14T13:05:20Z202120232212-4209https://hdl.handle.net/11323/8467https://doi.org/10.1016/j.ijdrr.2021.102411Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The impact of the pandemic and the lockdown has been more devastating than expected on the world economy. It is essential to formulate strategies in real-time. In this research, a multicriteria decision-making model for increasing the preparedness level of sales departments when facing COVID-19 waves and future pandemics is proposed. The model is comprised of 8 criteria, 29 sub-criteria, and 7 alternatives. The study is based on the integration of the AHP and TOPSIS techniques. AHP is used for calculating the criteria and sub-criteria weights. While, TOPSIS is used for calculating the preparedness level, ranking the companies, and identifying the weaknesses that should be addressed for increasing their effectiveness in the current market scenario. The model is developed with the aid of an experts’ group from the electrical appliance sector and studies from the reported literature. This application is completely novel in the literature and has been applied in the wild with remarkable companies in Colombia. A case study in the electrical appliance sector is presented as a pilot study but it should be noted that the methodology is flexible and scalable in any scenario.Ortiz-Barrios, MiguelBorrego-Areyanes, Arlen AlaineGómez-Villar, Iván DaríoDe Felice, Fabio-will be generated-orcid-0000-0002-2138-2103-600Petrillo, Antonella-will be generated-orcid-0000-0003-2465-5370-600Gul, Muhammet-will be generated-orcid-0000-0002-5319-4289-600YUCESAN, Melih-will be generated-orcid-0000-0001-6148-4959-600application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2International Journal of Disaster Risk Reductionhttps://www.sciencedirect.com/science/article/pii/S2212420921003721Multiple criteria analysisOperational researchDisaster preparednessPandemicsCOVID-19A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world casePre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersion[1] P. 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(2019), pp. 1-24PublicationORIGINALA multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics.pdfA multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics.pdfapplication/pdf175802https://repositorio.cuc.edu.co/bitstreams/ff4d4d45-1864-4ee7-918f-ac213b0d1e89/downloaded0b7ea5f99a3739752b63cfc7f2606eMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/a68f40b8-1c24-4205-b222-8eb8f681716b/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/65e32365-98fd-46c6-9c01-c49261eca9c1/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILA multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future 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