Liderança transacional e sucesso do projeto: Evidências sobre as influências do autogerenciamento e da abordagem de gestão do projeto

Thales da Costa Lago Alves; Carlos Alberto Freire Medeiros; André Morais Gurgel

doi:10.5585/gep.v15i3.27037

Autores

Thales da Costa Lago Alves Universidade Federal do Rio Grande do Norte https://orcid.org/0000-0003-4899-5986
Carlos Alberto Freire Medeiros Universidade Federal do Rio Grande do Norte https://orcid.org/0000-0002-3830-1162
André Morais Gurgel Universidade Federal do Rio Grande do Norte https://orcid.org/0000-0002-1925-8031

DOI:

https://doi.org/10.5585/gep.v15i3.27037

Palavras-chave:

Gestão de projetos, Sucesso de projetos, Liderança transacional, Autogerenciamento, Abordagens da gestão do projeto

Resumo

A liderança transacional figura como um dos estilos abordados na relação com o sucesso do projeto. Este artigo propõe-se a analisar o impacto do líder transacional sobre o sucesso do projeto, tanto de forma direta como por meio da mediação do autogerenciamento dos membros da equipe do projeto. Para isso, foi aplicada uma survey que coletou dados de 406 respondentes acerca do modelo teórico desenvolvido envolvendo indicadores de sucesso do projeto, liderança transacional e autogerenciamento. Adicionalmente, foi levantado o tipo de abordagem aplicada ao projeto: tradicional, ágil e híbrida, para testes de moderação. As análises feitas por meio da aplicação das técnicas de modelagem de equações estruturais (MEE) trouxeram novos achados, já que observou-se o papel positivo do autogerenciamento como mediador parcial na relação liderança transacional e sucesso do projeto. Além de implicações teóricas, remete a reflexões práticas quanto à importância do estímulo desse comportamento autorregulador por parte dos membros da equipe. Os resultados também revelaram um efeito moderador do tipo de abordagem de projetos, onde as equipes com aplicação da metodologia híbrida influenciam menos o sucesso do projeto nos níveis mais altos de liderança transacional, em detrimento das equipes centradas nas abordagens tradicional ou híbrida.

Biografia do Autor

Thales da Costa Lago Alves, Universidade Federal do Rio Grande do Norte

Servidor técnico administrativo do Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRN. Graduação em Comunicação Social - Jornalismo pela Universidade Federal do Rio Grande do Norte - UFRN (2000), Mestre (2020) e Doutor (2024) em Administração pela UFRN, na linha de pesquisa Organizações, Estratégia e Tecnologia da Informação. Áreas de interesse: Gestão de Projetos, Liderança e Comunicação Institucional.

Carlos Alberto Freire Medeiros, Universidade Federal do Rio Grande do Norte

Professor Titular do Departamento de Ciências Administrativas da Universidade Federal do Rio Grande do Norte - UFRN. Bacharel em Administração de Empresas pela UFRN (1990), Mestre em Administração pela UFRN (1997) e Doutor em Administração pela Universidade de São Paulo - USP (2003). Coordenador do Curso de Graduação em Administração da UFRN (2013-17 e 2022-atual), Coordenador da Prática Profissional do Curso de Graduação em Administração (2021-atual), Coordenador do Programa de Pós-Graduação em Administração (2005-2007), Subsecretário de Estado do Rio Grande do Norte do Turismo (2007-2011), Membro da Comissão Assessora de Avaliação do INEP para a Área de Administração no ENADE (2015-2021).

André Morais Gurgel, Universidade Federal do Rio Grande do Norte

Professor Titular do Departamento de Ciências Administrativas da Universidade Federal do Rio Grande do Norte - UFRN. Graduado em Engenharia de Produção pela UFRN (2008), Mestre em Engenharia de Produção pela UFRN (2010) e Doutor em Engenharia de Produção pela Universidade Federal de Pernambuco - UFPE (2014). Atuou ou atua em projetos de desenvolvimento tecnológico, voltados para a criação de sistemas web e mobile, integrando análise e visualização de dados, com interface direta com Inteligência Artificial. Tem forte atuação nas áreas de Inteligência Artificial, Gestão de Projetos de TI, Desenvolvimento de Sistemas Web e Mobile, Otimização Combinatória e Metaheurísticas.

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