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.creatorOrtiz-Barrios, Miguel
dc.creatorBorrego-Areyanes, Arlen Alaine
dc.creatorGómez-Villar, Iván Darío
dc.creatorDe Felice, Fabio
dc.creatorPetrillo, Antonella
dc.creatorGul, Muhammet
dc.creatorYUCESAN, Melih
dc.date2021-07-14T13:05:20Z
dc.date2021-07-14T13:05:20Z
dc.date2021
dc.date2023
dc.date.accessioned2023-10-03T18:56:41Z
dc.date.available2023-10-03T18:56:41Z
dc.identifier2212-4209
dc.identifierhttps://hdl.handle.net/11323/8467
dc.identifierhttps://doi.org/10.1016/j.ijdrr.2021.102411
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9166399
dc.descriptionThe 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.
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
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dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceInternational Journal of Disaster Risk Reduction
dc.sourcehttps://www.sciencedirect.com/science/article/pii/S2212420921003721
dc.subjectMultiple criteria analysis
dc.subjectOperational research
dc.subjectDisaster preparedness
dc.subjectPandemics
dc.subjectCOVID-19
dc.titleA multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
dc.typePre-Publicación
dc.typehttp://purl.org/coar/resource_type/c_816b
dc.typeText
dc.typeinfo:eu-repo/semantics/preprint
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/redcol/resource_type/ARTOTR
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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