Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions

Detalhes bibliográficos
Autor(a) principal: Barbosa, Luiz Gustavo Medeiros
Data de Publicação: 2024
Outros Autores: Wanke, Peter Fernandes, Antunes, Jorge Junio Moreira, Rocha, Saulo Barroso
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Cadernos EBAPE.BR
Texto Completo: https://periodicos.fgv.br/cadernosebape/article/view/90030
Resumo: Departing from the inconclusive results of the scant literature on the COVID-19 impact on Small and Medium Enterprises (SMEs), this paper proposes a novel evaluation model for addressing this issue through managerial perceptions. Over 6000 SMEs responded to twelve rounds of surveys from 2020 to 2021 during the pandemic, allowing to track the evolution over time of the perceived impact of the pandemic on small businesses. A novel entropy-weighted utility function approach is proposed here, followed by artificial neural network regression to map the variables related to the SME’s businesses that most foster the perceived utility of each business criterion during the pandemic. First, weights of business-related criteria were computed using Stepwise Weight Assessment Ratio Analysis (SWARA), sorting their relative importance – or perceptions - based on information entropy ranks derived from questionnaires collected. Transfer entropy measurements also helped in unveiling the hidden cause-effect relationships among criteria. Second, business utility functions for each criterion were computed using Complex Proportional Assessment based on SWARA weights. Third, neural network regressions were used to explain the managerial perceptions on each business criterion during the pandemic, considering each business variable. Our expected and unexpected results suggest that more resilient SMEs in Brazil are 5-10 years old and operating in the services and construction sectors. Moreover, loan success is the second most impactful criterion, deeply impacting the continuity of economic activity levels, and it is not impacted by any other business criteria. Implications for policymakers and governmental actions are highlighted.
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spelling Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functionsImpacto de la COVID-19 en las pymes en Brasil y factores impulsores de la percepción gerencial: un nuevo modelo neuronal basado en funciones de utilidad ponderadas por entropíaImpacto da COVID-19 nas PMEs no Brasil e drivers de percepção gerencial: um novo modelo neural baseado em funções de utilidade ponderadas pela entropiaSMEBusiness-related variablesUtility functionsInformation entropyCOVID-19 impactPymesVariables relacionadas con el negocioFunciones de utilidadEntropía de la informaciónImpacto de la COVID-19PMEVariáveis relacionadas ao negócioFunções utilitáriasEntropia da informaçãoImpacto da COVID-19Departing from the inconclusive results of the scant literature on the COVID-19 impact on Small and Medium Enterprises (SMEs), this paper proposes a novel evaluation model for addressing this issue through managerial perceptions. Over 6000 SMEs responded to twelve rounds of surveys from 2020 to 2021 during the pandemic, allowing to track the evolution over time of the perceived impact of the pandemic on small businesses. A novel entropy-weighted utility function approach is proposed here, followed by artificial neural network regression to map the variables related to the SME’s businesses that most foster the perceived utility of each business criterion during the pandemic. First, weights of business-related criteria were computed using Stepwise Weight Assessment Ratio Analysis (SWARA), sorting their relative importance – or perceptions - based on information entropy ranks derived from questionnaires collected. Transfer entropy measurements also helped in unveiling the hidden cause-effect relationships among criteria. Second, business utility functions for each criterion were computed using Complex Proportional Assessment based on SWARA weights. Third, neural network regressions were used to explain the managerial perceptions on each business criterion during the pandemic, considering each business variable. Our expected and unexpected results suggest that more resilient SMEs in Brazil are 5-10 years old and operating in the services and construction sectors. Moreover, loan success is the second most impactful criterion, deeply impacting the continuity of economic activity levels, and it is not impacted by any other business criteria. Implications for policymakers and governmental actions are highlighted.Con base en los resultados no concluyentes de la escasa literatura sobre el impacto de la COVID-19 en las pequeñas y medianas empresas (pymes), este artículo propone un nuevo modelo de evaluación para abordar este problema a través de las percepciones gerenciales. Para lograr este objetivo, más de 6.000 pymes respondieron a doce rondas de encuestas de 2020 a 2021, durante la pandemia, lo que permitió monitorear la evolución del impacto percibido de la pandemia en las pequeñas y medianas empresas. Aquí se propone un nuevo enfoque de función de utilidad ponderada por entropía, seguido de una regresión de red neuronal para mapear qué variables relacionadas con el negocio de las pymes impulsan más la utilidad percibida de cada criterio comercial durante la pandemia. Primero, los pesos de los criterios relacionados con el negocio se calcularon utilizando un análisis de relación de evaluación de peso paso a paso (SWARA), clasificando su importancia relativa ‒o percepciones‒ en función de las calificaciones de entropía de la información derivada de los datos recopilados. Las mediciones de entropía de transferencia también ayudaron a revelar las relaciones de causa y efecto entre los criterios. En segundo lugar, las funciones de utilidad comercial para cada criterio se calcularon mediante una evaluación proporcional compleja basada en los pesos SWARA. En tercer lugar, se utilizaron regresiones de redes neuronales para explicar las percepciones gerenciales de cada criterio comercial durante la pandemia a la luz de cada variable comercial. Nuestros resultados, esperados e inesperados, sugieren que las pymes más resilientes en Brasil son aquellas que tienen de 5 a 10 años, que operan en los sectores de servicios y construcción. Además, el éxito del préstamo es el segundo criterio de mayor impacto, que afecta profundamente la continuidad de los niveles de actividad económica; y no se ve afectado por ningún otro criterio comercial. Se destacan las implicaciones para los formuladores de políticas y las acciones gubernamentales.Partindo dos resultados inconclusivos da escassa literatura sobre o impacto do COVID-19 nas pequenas e médias empresas (PMEs), este artigo propõe um novo modelo de avaliação para abordar esse problema por meio de percepções gerenciais. Para atingir esse objetivo, mais de 6.000 PMEs responderam doze rodadas de pesquisas de 2020 a 2021, durante a pandemia, permitindo assim acompanhar a evolução do impacto percebido da pandemia nas pequenas e médias empresas. Uma nova abordagem de função de utilidade ponderada pela entropia é proposta aqui, seguida por regressão de rede neural para mapear quais variáveis relacionadas aos negócios das PMEs impulsionam mais a utilidade percebida de cada critério de negócios durante a pandemia. Primeiro, os pesos dos critérios relacionados aos negócios foram calculados usando a análise de proporção de avaliação de peso passo a passo (SWARA), classificando sua importância relativa - ou percepções - com base nas classificações de entropia de informações derivadas de dados coletados. As medições de entropia de transferência também ajudaram a revelar as relações de causa e efeito entre os critérios. Em segundo lugar, as funções de utilidade comercial para cada critério foram calculadas usando a Avaliação Proporcional Complexa com base nos pesos SWARA. Terceiro, regressões de redes neurais foram usadas para explicar as percepções gerenciais sobre cada critério de negócios durante a pandemia à luz de cada variável de negócios. Nossos resultados, esperados e inesperados, sugerem que as PMEs mais resilientes no Brasil são aquelas com 5 a 10 anos de idade operando nos setores de serviços e construção. Além disso, o sucesso do empréstimo é o segundo critério de maior impacto, impactando profundamente a continuidade dos níveis de atividade econômica; e não é afetado por nenhum outro critério de negócio. Implicações para formuladores de políticas e ações governamentais são destacadas.Escola Brasileira de Administração Pública e de Empresas da Fundação Getulio Vargas2024-02-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://periodicos.fgv.br/cadernosebape/article/view/9003010.1590/1679-395120220273Cadernos EBAPE.BR; Vol. 22 No. 1 (2024); e2022-0273Cadernos EBAPE.BR; Vol. 22 Núm. 1 (2024); e2022-0273Cadernos EBAPE.BR; v. 22 n. 1 (2024); e2022-02731679-3951reponame:Cadernos EBAPE.BRinstname:Fundação Getulio Vargas (FGV)instacron:FGVporenghttps://periodicos.fgv.br/cadernosebape/article/view/90030/85306https://periodicos.fgv.br/cadernosebape/article/view/90030/85305https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBarbosa, Luiz Gustavo MedeirosWanke, Peter FernandesAntunes, Jorge Junio MoreiraRocha, Saulo Barroso2024-02-28T19:26:07Zoai:ojs.periodicos.fgv.br:article/90030Revistahttps://periodicos.fgv.br/cadernosebapehttps://periodicos.fgv.br/cadernosebape/oaicadernosebape@fgv.br||cadernosebape@fgv.br1679-39511679-3951opendoar:2024-05-13T10:00:35.402089Cadernos EBAPE.BR - Fundação Getulio Vargas (FGV)true
dc.title.none.fl_str_mv Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions
Impacto de la COVID-19 en las pymes en Brasil y factores impulsores de la percepción gerencial: un nuevo modelo neuronal basado en funciones de utilidad ponderadas por entropía
Impacto da COVID-19 nas PMEs no Brasil e drivers de percepção gerencial: um novo modelo neural baseado em funções de utilidade ponderadas pela entropia
title Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions
spellingShingle Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions
Barbosa, Luiz Gustavo Medeiros
SME
Business-related variables
Utility functions
Information entropy
COVID-19 impact
Pymes
Variables relacionadas con el negocio
Funciones de utilidad
Entropía de la información
Impacto de la COVID-19
PME
Variáveis relacionadas ao negócio
Funções utilitárias
Entropia da informação
Impacto da COVID-19
title_short Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions
title_full Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions
title_fullStr Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions
title_full_unstemmed Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions
title_sort Impact of COVID-19 on SMEs in Brazil and managerial perception drivers: a novel neural model based on entropy-weighted utility functions
author Barbosa, Luiz Gustavo Medeiros
author_facet Barbosa, Luiz Gustavo Medeiros
Wanke, Peter Fernandes
Antunes, Jorge Junio Moreira
Rocha, Saulo Barroso
author_role author
author2 Wanke, Peter Fernandes
Antunes, Jorge Junio Moreira
Rocha, Saulo Barroso
author2_role author
author
author
dc.contributor.author.fl_str_mv Barbosa, Luiz Gustavo Medeiros
Wanke, Peter Fernandes
Antunes, Jorge Junio Moreira
Rocha, Saulo Barroso
dc.subject.por.fl_str_mv SME
Business-related variables
Utility functions
Information entropy
COVID-19 impact
Pymes
Variables relacionadas con el negocio
Funciones de utilidad
Entropía de la información
Impacto de la COVID-19
PME
Variáveis relacionadas ao negócio
Funções utilitárias
Entropia da informação
Impacto da COVID-19
topic SME
Business-related variables
Utility functions
Information entropy
COVID-19 impact
Pymes
Variables relacionadas con el negocio
Funciones de utilidad
Entropía de la información
Impacto de la COVID-19
PME
Variáveis relacionadas ao negócio
Funções utilitárias
Entropia da informação
Impacto da COVID-19
description Departing from the inconclusive results of the scant literature on the COVID-19 impact on Small and Medium Enterprises (SMEs), this paper proposes a novel evaluation model for addressing this issue through managerial perceptions. Over 6000 SMEs responded to twelve rounds of surveys from 2020 to 2021 during the pandemic, allowing to track the evolution over time of the perceived impact of the pandemic on small businesses. A novel entropy-weighted utility function approach is proposed here, followed by artificial neural network regression to map the variables related to the SME’s businesses that most foster the perceived utility of each business criterion during the pandemic. First, weights of business-related criteria were computed using Stepwise Weight Assessment Ratio Analysis (SWARA), sorting their relative importance – or perceptions - based on information entropy ranks derived from questionnaires collected. Transfer entropy measurements also helped in unveiling the hidden cause-effect relationships among criteria. Second, business utility functions for each criterion were computed using Complex Proportional Assessment based on SWARA weights. Third, neural network regressions were used to explain the managerial perceptions on each business criterion during the pandemic, considering each business variable. Our expected and unexpected results suggest that more resilient SMEs in Brazil are 5-10 years old and operating in the services and construction sectors. Moreover, loan success is the second most impactful criterion, deeply impacting the continuity of economic activity levels, and it is not impacted by any other business criteria. Implications for policymakers and governmental actions are highlighted.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.fgv.br/cadernosebape/article/view/90030
10.1590/1679-395120220273
url https://periodicos.fgv.br/cadernosebape/article/view/90030
identifier_str_mv 10.1590/1679-395120220273
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://periodicos.fgv.br/cadernosebape/article/view/90030/85306
https://periodicos.fgv.br/cadernosebape/article/view/90030/85305
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Escola Brasileira de Administração Pública e de Empresas da Fundação Getulio Vargas
publisher.none.fl_str_mv Escola Brasileira de Administração Pública e de Empresas da Fundação Getulio Vargas
dc.source.none.fl_str_mv Cadernos EBAPE.BR; Vol. 22 No. 1 (2024); e2022-0273
Cadernos EBAPE.BR; Vol. 22 Núm. 1 (2024); e2022-0273
Cadernos EBAPE.BR; v. 22 n. 1 (2024); e2022-0273
1679-3951
reponame:Cadernos EBAPE.BR
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Cadernos EBAPE.BR
collection Cadernos EBAPE.BR
repository.name.fl_str_mv Cadernos EBAPE.BR - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv cadernosebape@fgv.br||cadernosebape@fgv.br
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