dc.contributor.advisor | Zanini, Roselaine Ruviaro | |
dc.creator | Silva, Bárbara Quatrin Tiellet da | |
dc.date.accessioned | 2018-02-08T12:24:05Z | |
dc.date.available | 2018-02-08T12:24:05Z | |
dc.date.issued | 2014-07-24 | |
dc.date.submitted | 2014 | |
dc.identifier.uri | http://repositorio.ufsm.br/handle/1/12379 | |
dc.description | Monografia (especialização) - Universidade Federal de Santa Maria, Centro de Ciências Naturais e Exatas, Curso de Especialização em Estatística e Modelagem Quantitativa, RS, 2014 | por |
dc.description.abstract | The aim of this study was to determine the variables that influence the selection of companies for
the Exame Magazine Sustainability Guide. The variables analyzed were: firm size, sector of
activity, location, participation in the stock market, stock control, ownership and participation in
the ISE corporate sustainability index. It was used as the database the 500 largest Brazilian
companies, from 2012, listed by the magazine “Exame Melhores e Maiores”, and the 21 model
companies in 2012, according to the Sustainability Guide published by the same magazine. To
develop the model for risk factors associated with the selection of these companies to the Exame
Sustainability Guide the logistic regression technique was used. Among the tested covariates,
sector of activity, stock control and participation in the ISE, were statistically significant, what
suggests that firms whose activities use directly natural resources and/or modify the environment;
that are more internationalized, controlled wholly or partly by foreign countries; and forming part
of the ISE are more likely to be selected for the guide. It is believed that the findings of this study
contribute to and expand the understanding of the business characteristics that may influence
practices of Corporate Social Responsibility and Corporate Sustainability. Furthermore, the
results can serve as a reference for future research, both in relation to corporate environmental
and social issues, and in relation to the logistic regression. | eng |
dc.description.abstract | The aim of this study was to determine the variables that influence the selection of companies for
the Exame Magazine Sustainability Guide. The variables analyzed were: firm size, sector of
activity, location, participation in the stock market, stock control, ownership and participation in
the ISE corporate sustainability index. It was used as the database the 500 largest Brazilian
companies, from 2012, listed by the magazine “Exame Melhores e Maiores”, and the 21 model
companies in 2012, according to the Sustainability Guide published by the same magazine. To
develop the model for risk factors associated with the selection of these companies to the Exame
Sustainability Guide the logistic regression technique was used. Among the tested covariates,
sector of activity, stock control and participation in the ISE, were statistically significant, what
suggests that firms whose activities use directly natural resources and/or modify the environment;
that are more internationalized, controlled wholly or partly by foreign countries; and forming part
of the ISE are more likely to be selected for the guide. It is believed that the findings of this study
contribute to and expand the understanding of the business characteristics that may influence
practices of Corporate Social Responsibility and Corporate Sustainability. Furthermore, the
results can serve as a reference for future research, both in relation to corporate environmental
and social issues, and in relation to the logistic regression. | eng |
dc.language | por | por |
dc.publisher | Universidade Federal de Santa Maria | por |
dc.rights | Acesso Aberto | por |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Responsabilidade social corporativa | por |
dc.subject | Sustentabilidade empresarial | por |
dc.subject | Regressão logística | por |
dc.subject | Corporate social responsibility | eng |
dc.subject | Corporate sustainability | eng |
dc.subject | Logistic regression | eng |
dc.title | Análise das variáveis que influenciam a seleção de empresas para o guia de sustentabilidade da revista Exame | por |
dc.title.alternative | Analysis of variables that influence the selection of companies for Exame magazine sustainability guide | eng |
dc.type | Trabalho de Conclusão de Curso de Especialização | por |
dc.degree.local | Santa Maria, RS, Brasil. | por |
dc.degree.specialization | Estatística e Modelagem Quantitativa | por |
dc.description.resumo | O objetivo deste estudo foi determinar as variáveis que influenciam a seleção de empresas para o
Guia de Sustentabilidade da Revista Exame. Foram analisadas as variáveis: tamanho da empresa,
setor de atividade, localização, participação na bolsa de valores, controle acionário, propriedade e
participação no Índice de Sustentabilidade Empresarial. Utilizou-se como base de dados as 500
maiores empresas brasileiras de 2012, listadas pela revista “Exame Melhores e Maiores”, e as 21
empresas-modelo de 2012, conforme o Guia de Sustentabilidade publicado pela mesma revista.
Para desenvolver o modelo para os fatores de risco associados à seleção das empresas para o
Guia de Sustentabilidade da Revista Exame foi utilizada a técnica de regressão logística. Dentre
as covariáveis testadas, mostraram-se estatisticamente significativas: setor de atividade, controle
acionário e participação no ISE, o que sugere que empresas cujas atividades utilizam diretamente
recursos naturais e/ou modificam o ambiente; que estão em ambientes mais internacionalizados,
controladas total ou parcialmente por países estrangeiros; e que fazem parte do ISE tem maior
probabilidade de serem selecionadas para o Guia. Acredita-se que os achados deste estudo
contribuem para e ampliam o entendimento sobre as características empresariais que podem
influenciar práticas de Responsabilidade Social Corporativa e Sustentabilidade Empresarial.
Além disso, os resultados podem servir como referência para pesquisas futuras, tanto em relação
à temática social e ambiental empresarial, quanto em relação à técnica de regressão logística. | por |
dc.publisher.country | Brasil | por |
dc.publisher.initials | UFSM | por |
dc.subject.cnpq | CNPQ::CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA | por |
dc.publisher.unidade | Centro de Ciências Naturais e Exatas | por |