Teaching COVID-19’s Impact on Businesses

Marques, Leonardo; Chimenti, Paula; Mendes‐Da‐Silva, Wesley

doi:10.1590/1982-7849rac2021210064.en

Cited by 4 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Com relação aos impactos da COVID-19 nas PMEs no contexto brasileiro, alguns estudos exploraram a questão em empresas operando em diferentes setores (Bretas & Alon, 2020;Dweck, 2020;Pereira & Patel, 2022;Rediske et al, 2022;Reis et al, 2021) como comércio e serviços (Marques et al, 2021) e instituições de ensino (A. D. S. M. Costa et al, 2020;B. G. S. Costa et al, 2022;Dias & Ramos, 2022).…”

Section: Introductionunclassified

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

Barbosa,

Wanke,

Antunes

et al. 2024

Cad. EBAPE.BR

View full text Add to dashboard Cite

Resumo 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.

show abstract

Section: Introductionunclassified

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

Barbosa,

Wanke,

Antunes

et al. 2024

Cad. EBAPE.BR

View full text Add to dashboard Cite

show abstract

“…Besides, Brazil had 8,863 exporting SMEs in 2017, which represented 40.8% of the country's exporting companies in the year, with 17.8% referring to micro-enterprises and 23.1% to small businesses (Serviço de Apoio às Micro e Pequenas Empresas Brasileiras [SEBRAE], 2022). Some studies evaluating the impacts of COVID-19 for SMEs were carried out for the Brazilian context (Bretas & Alon, 2020;Dweck, 2020;Pereira & Patel, 2022;Rediske et al, 2022;Reis et al, 2021), that operate in different sectors; with a focus on commerce and services (Marques et al, 2021), on educational institutions (A. D. S. M. Costa et al, 2020;B. G. S. Costa et al, 2022;Dias & Ramos, 2022), on the strategies used (Wecker et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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

Barbosa,

Wanke,

Antunes

et al. 2024

Cad. EBAPE.BR

View full text Add to dashboard Cite

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.

show abstract

The Journal of Contemporary Administration (RAC)’s 2018-2021 Managerial Report and a Farewell

Mendes‐Da‐Silva

2021

Rev. adm. contemp.

Self Cite

View full text Add to dashboard Cite

This is the last editorial that I am writing as the Editorin-Chief of the Journal of Contemporary Administration (RAC), completing my predefined voluntary pro bono mandate (2018-2021). I would like to take this moment to thank and recognize the professional work of several people with whom I've had the great opportunity to work and learn from during the past three years. In saying farewell to this position, I will leave you with a brief summary of the work we have performed from June 2018 to May 2021 in order to follow the editorial best practice of providing information (Bandi & Patton, 2019; Kumar & Zattoni, 2019). Conscious of the duties and responsibilities inherent in the role of Editor-in-Chief (Aguinis & Vaschetto, 2011), at the RAC, I have constantly sought to prioritize the interests of the Brazilian business community in countless initiatives during my tenure. To accomplish this, I have counted on the invaluable collaboration of people of rare dedication and a rare sense of professional duty, among whom I would like to name: Case Study Editor Paula Chimenti (CoppeAd/Universidade Federal do Rio de Janeiro/Brazil), who has expanded on the work started by

show abstract

Teaching COVID-19’s Impact on Businesses

Cited by 4 publications

References 3 publications

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

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

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

The Journal of Contemporary Administration (RAC)’s 2018-2021 Managerial Report and a Farewell

Contact Info

Product

Resources

About