Ms. Fernando Freire Vasconcelos

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Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

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23 March 2021 in International Journal of Productivity and Performance Management

Journal Article

Dynamic framework of performance assessment for startups

Luiz Guilherme Rodrigues Antunes

Fernando Freire Vasconcelos

Camila Maria de Oliveira

Hamilton Luiz Corrêa

Purpose: The purpose of this paper is to develop a performance evaluation framework designed exclusively to look at startups' reality.Design/methodology/approach: This paper is exclusively theoretical, however, with the application of the Delphi method. For the application of this method, the framework was transformed in a questionnaire with closed- and open-ended questions, which is applied to 12 experts in this theme. A pre-test of the instrument was carried out, and the analysis was developed by sum.Findings: As a result, the framework presents a cyclic format, encompassing the strategy, goal, modules, indicators, actions and evaluation of the performance assessment method, using a spiral format, and assigning the time variable.Research limitations/implications: This research contributes for the advance of performance assessment methods that consider organizations' life cycle and for the assessment of startups, for presenting an exclusive tool in this context.Practical implications: The results can contribute as a potential management tool with an integrative, recursive and continuous character. It has the potential to imply the behavior and capabilities of managers, given their difficulties in managing their business.Originality/value: As originality of the work, the use of the organization life cycle stands out to compose a performance evaluation process, which has not yet been addressed in the performance literature.

21 July 2023 in Mathematics

Journal Article

Analysis of Judiciary Expenditure and Productivity Using Machine Learning Techniques

Fernando Freire Vasconcelos

Renato Máximo Sátiro

Luiz Paulo Fávero

Gabriela Troyano Bortoloto

Hamilton Luiz Corrêa

Maintaining the judiciary requires a high level of budgetary expenditure, but the specifics of this relationship have not yet been fully explored. While several studies have examined the impact of spending on the judiciary through measures related to productivity and performance, none have used machine learning techniques. This study examines the productivity of the court system based on expenditures and other variables using machine learning techniques. In the clustering process Brazilian courts are ranked according to their productivity, while in the neural network step it is verified which characteristics are most relevant at the budgetary level related to judicial productivity for each cluster formed in the first step. The final neural network model supports the results of Pearson’s parametric correlation test, which found no significant correlation between expenditure and productivity. The findings from this study demonstrate the importance of understanding that increasing public budget expenditures alone is not sufficient to improve the efficiency of the judicial system. Instead, other administrative measures are necessary to meet the demands of the Brazilian judiciary and improve service delivery rates. These results offer important theoretical and managerial contributions to the field.

1 October 2020 in Revista de Administração Pública

Journal Article

Elaboração de uma metodologia baseada em estatística para encaminhamento dos casos da COVID-19

Fernando Freire Vasconcelos

Heber José de Moura

Resumo A taxa de crescimento da COVID-19 é preocupante em todo o mundo. O desenvolvimento de métodos indiretos para direcionar as internações hospitalares somente para os casos necessários é de fundamental importância para impedir superlotação do sistema de saúde. O objetivo geral deste artigo é propor uma metodologia estatística, baseada na regressão logística, capaz de indicar se um paciente que testou positivo para COVID-19 deve ser direcionado ao isolamento domiciliar ou ficar internado no hospital com base em exames básicos de sangue e na idade. Os dados partiram de 5.645 testes de sangue de pacientes no período de março e abril de 2020. Com a utilização das variáveis independentes proteína C-reativa, neutrophils, monocytes e idade do paciente acometido pela COVID-19, pode-se prever com razoável grau de precisão se, ao chegar ao hospital e testar positivo, o indivíduo deve ser recomendado a ficar recolhido em sua residência ou se deve ser internado numa unidade de saúde.

7 December 2021 in Revista Controle - Doutrina e Artigos

Journal Article

Avaliação da estrutura do sistema de controle interno dos poderes e instituições públicas do Ceará para os anos de 2016 a 2018

Leonel Gois Lima Oliveira

Fernando Freire Vasconcelos

Victor Mateus da Silva Viana

O estudo teve como objetivo avaliar a estrutura do sistema de controle interno dos poderes e instituições públicas do Ceará. Foi desenvolvido tendo por base um questionário de autoavaliação preenchido pelos jurisdicionados do Tribunal de Contas do Estado do Ceará (TCE-CE), que aborda as dimensões da metodologia COSO-ERM. Realizou-se uma análise comparativa das notas atribuídas apenas pelos partícipes da Rede Estadual de Controle Interno do Estado do Ceará (RECIGP) para os anos de 2016 até 2018. Foram verificados padrões similares e as diferenças de respostas em relação às variáveis estudadas que envolvem a estrutura de controle interno. O estudo apresenta um caráter exploratório e descritivo. Os dados foram coletados diretamente com o TCE-CE e a análise foi baseada em métodos de estatística descritiva, análise vertical e horizontal. Os jurisdicionados do TCE-CE, partícipes da RECIGP, avaliaram, com desempenhos satisfatórios nos anos de 2016, 2017 e 2018, em relação à estrutura do controle interno. Observa-se que um dos Poderes teve desempenho razoável apenas em um ano, indicando a necessidade de ajustes em alguns componentes de sua estrutura de controle interno.

1 October 2020 in Revista de Administração Pública

Journal Article

Statistical method to determine the need for hospitalization of COVID-19 patients

Fernando Freire Vasconcelos

Heber José de Moura

27 November 2024 in Risus - Journal on Innovation and Sustainability

Journal Article

Determinantes do investimento em impacto socioambiental por famílias empresárias brasileiras

Fernando Freire Vasconcelos

José Geraldo Setter Filho

Cláudio Antônio Pinheiro Machado Filho

The financial asset class of impact investments finds in business families one of its usual resource allocators. Given the growing interest in this type of investment and the volume of resources involved, the objective of this article is to understand the characteristics of business families/family businesses that influence this allocation of resources. In view of the development of a hypothetical and quantitative exploration, this work was developed through the application of an online survey with members of business families in Brazil. A significant and positive relationship was found between a higher level of socioemotional wealth (SEW) and the amount allocated to impact investments. The dimension of prominence of the family proved to be that the component of the SEW responsible for the relationship found. The results allow the advancement of the frontier of knowledge on the subject and reveal numerous possibilities for future explorations, as well as have value for the service industry aimed at business families/family businesses.

About Me

PhD student in Administration at the University of São Paulo (FEA/USP), research line: strategy of organizations. Master in Business Administration at the University of Fortaleza (UNIFOR), line of research: business management. Bachelor's degree in Business Administration from the Universidade Estadual do Ceará (2008) and in Law from the Universidade Federal do Ceará (2010). He is a Professor/Advisor on the MBA in Data Science and Analytics for the Superior School of Agriculture "Luiz de Queiroz" (ESALQ) at the University of São Paulo (USP), also acting as a monitor (theoretical and practical part of the statistics and programming areas) for the MBA in Data Science and Analytics for the Superior School of Agriculture "Luiz de Queiroz" (ESALQ). Guest Professor for the MBA in Finance at the University of Fortaleza - Unifor. Post-graduate in Civil Process by ESMEC. Judicial Analyst, Administration at the Court of Justice of the State of Ceará (TJCE). Experience in the analysis of civil lawsuits and corporate law. Tutor for classroom and distance learning courses at the TJCE. Interested in the area of research related to public administration and performance management. Experience in financial administration and strategic management. Knowledge on multivariate data analysis and quantitative methods applied to business administration and public administration. Works with machine learning techniques (supervised or unsupervised), using R, SPSS and Stata.

Ms. Fernando Freire Vasconcelos

Ms. Fernando Freire Vasconcelos

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