Neutrosophic method to evaluate the consequences of COVID-19 in small and medium textile companies in the city of Santo Domingo

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Franklin Gerardo Naranjo Armijo
María José Calero Manzano
Mayra Alexandra Granda Sanmartín

Abstract

The year 2020 marked a before and after for humanity both economically and socially, all due to the pandemic. The proposal was validated by expert criteria based on the Neutrosophic Delphi method to evaluate the consequences of COVID-19 on small and medium-sized companies dedicated to the textile trade in the city of Santo Domingo. For this, the modality used was mixed, non-experimental, cross-sectional design and retrospective study since the information was obtained through the application of surveys and thus know the consequences of the pandemic. The population that was part of this study was made up of 108 SMEs from Santo Domingo dedicated to the textile trade, obtaining as a result that among the main consequences caused by the pandemic were the increase in prices of merchandise caused by suppliers, financial pressures such as payment of salaries and wages, rent payment, payment of debt contracted, for which the measures implemented by the managers were mainly, negotiating with current lenders the terms of their loans, seeking capital financing, reduction of salaries and wages to avoid layoffs of employees, all this as a result of COVID-19 as well as due to the measures taken by the government to prevent its spread.

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Neutrosophic method to evaluate the consequences of COVID-19 in small and medium textile companies in the city of Santo Domingo. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 34, 309-318. https://fs.unm.edu/NCML2/index.php/112/article/view/607
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How to Cite

Neutrosophic method to evaluate the consequences of COVID-19 in small and medium textile companies in the city of Santo Domingo. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 34, 309-318. https://fs.unm.edu/NCML2/index.php/112/article/view/607

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