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

MakaleAçık ErişimScopus SJRQ1

Özet

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.

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https://rdlopen.rawdatalibrary.net/r/munzur/2499Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1016/j.ijdrr.2021.102411Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorOrtiz-Barrios, Miguel
dc.contributor.authorBorrego-Areyanes, Arlen Alaine
dc.contributor.authorGómez-Villar, Iván Darío
dc.contributor.authorDe Felice, Fabio
dc.contributor.authorPetrillo, Antonella
dc.contributor.authorGul, Muhammet
dc.contributor.authorYucesan, Melih
dc.date.accessioned2026-10-28T14:55:26.852999207Z
dc.date.available2026-10-28T14:55:26.852999207Z
dc.date.issued2021
dc.description.abstractThe 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.identifier.articlenumber102411
dc.identifier.doi10.1016/j.ijdrr.2021.102411
dc.identifier.issn2212-4209
dc.identifier.scopus2-s2.0-85108636732
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/2499
dc.identifier.volume62
dc.identifier.wosWOS:000679379300003
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofInternational Journal of Disaster Risk Reduction
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCOVID-19
dc.subjectDisaster preparedness
dc.subjectMultiple criteria analysis
dc.subjectOperational research
dc.subjectPandemics
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.typeArticle
rdl.citation.openalex21
rdl.citation.scopus18
rdl.oa.statusgreen
rdl.oa.statusclosed
rdl.oa.urlhttps://hdl.handle.net/11323/8467
rdl.scopus.quartileQ1
rdl.source.indexSCOPUS
rdl.source.indexWOS