Dimensionamento da força de trabalho de servidores técnico-administrativos em universidades federais de ensino : um estudo de caso com aplicação piloto em uma unidade administrativa da UFSCar

• Ano de defesa: 2017
• Autor(a) principal: Migliati, Maria Inez Carpi
• Orientador(a): Côrtes, Mauro Rocha
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Gestão de Organizações e Sistemas Públicos - PPGGOSP
• Palavras-chave em Português: Dimensionamento; Força de trabalho; Planejamento de recursos humanos; Alocação de pessoas
• Palavras-chave em Inglês: Sizing; Workforce; Human resource planning; People allocation
• Área do conhecimento CNPq: CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO PUBLICA::ORGANIZACOES PUBLICAS
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/9256

The issue of workforce sizing, as part of human resource planning, is not something new, but in the public administration, and particularly in federal universities it becomes more complex. Having a scalability model, with clear and defined parameters and criteria, that provides the foundation and support for better decision making is essential. To comply with the provisions of Law No. 11,091/2005, dated January 12, 2005, which provides for the Career Plan for Technical-Administrative Positions in Education and Decree No. 5.825 / 2006, of 06/29/2006, and establishes the guidelines for the elaboration of the Plan of Development of the Members of the Career Plan of the Technical-Administrative Positions in Education, federal universities should carry out the dimensioning of the technical-administrative servers’ workforce. However, in the face of complexity, most universities do not have a design model for the allocation of vacancies. This work presents and describes a model for designing a public higher education university, applying it as a pilot, in an administrative unit of the Federal University of São Carlos (UFSCar), identifying possible weaknesses and possibilities regarding its application. The used methodology refers to the qualitative approach, based, for the most part, on secondary data. The analyzed and applied model proved useful for the institution to know better the workforce of its technical-administrative servers; to raise the profile and competencies of the servers and the units, enabling the identification of training needs in line with the real needs of UFSCar, to verify the needs of redefinition of the units' structures, as well as to map and review processes already mapped.