A Relação Entre a Motivação e o Engajamento no Desempenho dos Indivíduos nas Equipes de Projetos: Uma Revisão Sistemática da Literatura

Autores

  • Celso Danilo da Mota Universidade Nove de Julho (Uninove)
  • Renato Penha Universidade Nove de Julho (Uninove)
  • Marcelo Luiz do Amaral Gonçalves Instituto de Tecnologia e Liderança (INTELI)

Palavras-chave:

Motivação, Engajamento, Gerenciamento de Projetos

Resumo

Este artigo busca compreender a relação entre motivação, engajamento e desempenho dos indivíduos em equipes de projetos. Foi realizado uma revisão sistemática de literatura. O corpus de pesquisa foi composto por 106 artigos da Web of Science (WoS) e Scopus. Os achados foram classificados em quatro categorias: (a) aspectos pessoais dos indivíduos, (b) gestão e liderança de projetos, (c) competências dos indivíduos e (d) ferramentas de apoio à gestão de projetos. Os achados dessa pesquisa, podem ser úteis para líderes e gestores que buscam promover motivação, engajamento e melhorar o desempenho dos indivíduos nas equipes de projetos.

Biografia do Autor

Celso Danilo da Mota, Universidade Nove de Julho (Uninove)

Mestrando pelo Programa de Pós-Graduação em Gestão de Projetos (PPGP) da Universidade Nove de Julho (2023). Especialista em Gestão de Projetos pela Universidade do Vale do Sapucaí (2022). Graduado em Sistemas de Informação pela FAI - Centro de Ensino Superior em Gestão, Tecnologia e Educação (2017). Possui certificação PSM-I (Scrum Master), SFC e SFPC (Scrum) e KEPC (Kanban). Do ponto de vista profissional, possui experiência em Gestão de Projetos e em Gestão de Tecnologia da Informação (TI) em indústrias de eletrônica e TI. Os temas de interesse em pesquisas são gestão de projetos, projetos ágeis e híbridos, tecnologia da informação e gestão de pessoas. ORCID 0009-0008-8628-1320

Renato Penha, Universidade Nove de Julho (Uninove)

Pós-doutorado e Doutorado em Administração pela Universidade Nove de Julho. Mestre em Gestão de Projetos pela Universidade Nove de Julho. Especialista em Administração em Banco de Dados e Gestão da Tecnologia da Informação pela Faculdade de Informática e Administração Paulista (FIAP). Graduado em Processamento em Banco de Dados pela Universidade Bandeirante de São Paulo. Professor permanente e pesquisador no Programa de Pós-Graduação em Gestão de Projetos (PPGP) na Universidade Nove de Julho. Atuo na na linha de Pesquisa 2: Gerenciamento em Projetos no PPGP da UNINOVE e nos projetos-eixos de pesquisa "Gestão de Projetos Ágeis e Híbridos" e "Gerenciamento de Projetos". Artigos acadêmicos publicados em revistas nacionais e internacionais de alto-impacto na área de Gestão de Projetos, Agile, Cloud Computing, Gestão de Pessoas, entre outros. Editor Científico da Revista de Gestão e Projetos (GeP - ISSN 2236-0972). Líder de tema Gestão de Operações e Logística (GOL) no Simpósio de Administração da Produção, Logística e Operações Internacionais (SIMPOI) em 2022. Líder de tema Estratégia em Organizações (ESO) no Encontro Nacional dos Programas de Pós- Graduação em Administração (ENANPAD) em 2021. Membro do Comitê Organizador e Científico do SINGEP - Simpósio Internacional de Gestão, Projetos, Inovação e Sustentabilidade desde 2019. Em Pesquisa e Desenvolvimento, possui 6 Programas de Computador registrados e 5 Patentes de Modelo de Utilidade depositadas. Integrante do grupo de pesquisadores em projetos de inovação, apia estudantes de Doutorado no processo de registro de propriedade industrial, como patentes de invenção, modelos de utilidades e para patentes de registro de Programas de Computador. Possui experiência em arquitetura e implantação de projetos de Tecnologia da Informação e de Transformação Digital, com adoção de práticas ágeis de gestão, como Scrum, Lean Inception e Scaled Scrum. Participação em Squads para desenvolvimento de projetos de Tecnologia da Informação, adotando as práticas ágeis para arquitetura e planejamento de softwares em ambientes On Premise e Cloud Computing. Nos últimos 5 anos, atuo na arquitetura e desenvolvimento de websites responsivos e chatbots com adoção de técnicas de Analytics, Inteligência Artificial, Machine Learning e Banco de Dados não relacionais.

Marcelo Luiz do Amaral Gonçalves, Instituto de Tecnologia e Liderança (INTELI)

Doutor em Administração de pela Universidade Nove de Julho (UNINOVE) no Programa de Doutorado Profissional em Gestão de Projetos - Concluído em 2022. Mestrado profissional em administração - Gestão de Projetos pela UNINOVE (concluído em 2017). Pós Graduação em Tecnologia da Informação - Consultoria em Internet - Faculdades Associadas de São Paulo (2001) e graduação em Administração de Empresas - Faculdades Associadas de São Paulo (1996). Professor universitário nas áreas de Gestão de Projetos, Logística, Marketing e Tecnologia da Informação e instrutor em cursos de tecnologia da informação. Grande experiência na liderança de times multidisciplinares para projetos de tecnologia da informação, Infraestrutura de TI e Segurança da Informação.

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Publicado

2023-12-21

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v. 2 n. 17 (2023): Cadernos de Administração

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