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dc.contributor.advisorAguiar, Alexandre Kehrig Veronesept_BR
dc.contributor.authorFernandes, Rodrigo Ildson Limapt_BR
dc.date.accessioned2025-03-06T16:59:17Z-
dc.date.available2025-03-06T16:59:17Z-
dc.date.issued2025-03-06-
dc.date.submitted2025-01-21-
dc.identifier.citationFERNANDES, Rodrigo Ildson Lima. Da sensibilização à proteção : aplicação da Política de Segurança da Informação, um estudo de caso na UnB. 2025. 105 f. Dissertação (Mestrado Profissional em Governança e Inovação em Políticas Públicas) — Universidade de Brasília, Brasília, 2025.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/51798-
dc.description.abstractThis study addresses the issue of contractual default in the Brazilian public sector, specifically in the context of the Superior Court of Justice (STJ). The scientific and social relevance of the topic is tied to the need for innovation and effective governance in public procurement, considering the challenges posed by Law 14.133/2021. The main objective is to identify how economic and financial information can anticipate the risk of contractual default through the Supplier (Dis)Trust Index (IDF). The research employs a statistical model based on logistic regression, analyzing contract data from the STJ between 2018 and 2023. The theoretical framework includes studies on public procurement, evidence-based management, and predictive models of insolvency. The primary finding is that the IDF, by using a combination of economic, financial, and legal variables, provides a prediction of default with high sensitivity and overall accuracy. The main technical-technological product is an automated statistical analysis script in Stata® software, which allows the practical application of the predictive model in other public institutions. It is concluded that the IDF is an effective tool for risk management in public contracts, recommended for use during the contract execution phase rather than as a qualification criterion.pt_BR
dc.language.isoporpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleDa sensibilização à proteção : aplicação da Política de Segurança da Informação, um estudo de caso na UnBpt_BR
dc.typeDissertaçãopt_BR
dc.subject.keywordSegurança da informaçãopt_BR
dc.subject.keywordCultura organizacionalpt_BR
dc.subject.keywordSensibilizaçãopt_BR
dc.subject.keywordInstituições de ensino superiorpt_BR
dc.subject.keywordPolíticas públicas de segurança da informaçãopt_BR
dc.rights.licenseA concessão da licença deste item refere-se ao termo de autorização impresso assinado pelo autor com as seguintes condições: Na qualidade de titular dos direitos de autor da publicação, autorizo a Universidade de Brasília e o IBICT a disponibilizar por meio dos sites www.unb.br, www.ibict.br, www.ndltd.org sem ressarcimento dos direitos autorais, de acordo com a Lei nº 9610/98, o texto integral da obra supracitada, conforme permissões assinaladas, para fins de leitura, impressão e/ou download, a título de divulgação da produção científica brasileira, a partir desta data.pt_BR
dc.contributor.advisorcoSouza, Ludmila de Melopt_BR
dc.description.abstract1This study addresses the issue of contractual default in the Brazilian public sector, specifically in the context of the Superior Court of Justice (STJ). The scientific and social relevance of the topic is tied to the need for innovation and effective governance in public procurement, considering the challenges posed by Law 14.133/2021. The main objective is to identify how economic and financial information can anticipate the risk of contractual default through the Supplier (Dis)Trust Index (IDF). The research employs a statistical model based on logistic regression, analyzing contract data from the STJ between 2018 and 2023. The theoretical framework includes studies on public procurement, evidence-based management, and predictive models of insolvency. The primary finding is that the IDF, by using a combination of economic, financial, and legal variables, provides a prediction of default with high sensitivity and overall accuracy. The main technical-technological product is an automated statistical analysis script in Stata® software, which allows the practical application of the predictive model in other public institutions. It is concluded that the IDF is an effective tool for risk management in public contracts, recommended for use during the contract execution phase rather than as a qualification criterion.pt_BR
dc.description.unidadeFaculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE)pt_BR
dc.description.ppgPrograma de Pós-Graduação em Governança e Inovação em Políticas Públicas, Mestrado Profissionalpt_BR
Collection(s) :Teses, dissertações e produtos pós-doutorado

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