v. 36 n. 2 (2023): Revista ION
Artigos

Tendências em tecnologias convergentes na indústria 4.0: uma revisão da literatura

Paula Andrea Rodríguez-Correa
Institución Universitaria Escolme
Camilo Andrés Echeverri-Gutiérrez
AM&C COLOMBIA SAS
Alejandro Valencia-Arias
AM&C - Colombia
Leidy Catalina Acosta-Agudelo
AM&C COLOMBIA SAS
Mauricio Echeverri-Gutiérrez
AM&C COLOMBIA SAS

Publicado 2023-06-30

Palavras-chave

  • Tecnologias convergentes,
  • Indústria 4.0,
  • Gestão organizacional,
  • Digitalização,
  • Automação

Como Citar

Rodríguez-Correa, P. A., Echeverri-Gutiérrez, C. A., Valencia-Arias, A., Acosta-Agudelo, L. C., & Echeverri-Gutiérrez, M. (2023). Tendências em tecnologias convergentes na indústria 4.0: uma revisão da literatura. REVISTA ION, 36(2), 83–100. https://doi.org/10.18273/revion.v36n2-2023006

Resumo

Face aos desafios que a Indústria 4.0 trouxe às organizações, as tecnologias convergentes ganharam grande importância para responder a algumas das necessidades atuais. Apesar dos benefícios que as tecnologias convergentes proporcionam na indústria no contexto da digitalização, poucos estudos realizaram uma revisão teórica da relação entre ambas. Portanto, este estudo propõe como objetivo central identificar as tendências temáticas nos estudos de tecnologias convergentes na Indústria 4.0. Com base nisso, quatro perguntas de pesquisa são incluídas. Uma análise bibliométrica é realizada a partir da declaração PRISMA. As bases de dados Scopus e Web of Sciences são selecionadas e, finalmente, 137 documentos são selecionados para realizar a análise. Os resultados permitem identificar os principais atores da pesquisa, ou seja, as principais referências em termos de autores, periódicos e países que geram maior impacto sobre o tema. O comportamento evolutivo dos temas de pesquisa também é analisado com base nas palavras-chave mais recorrentes por ano. Os agrupamentos temáticos e os temas mais frequentes e atuais na literatura são identificados por meio do software VOSviewer. Dessa forma, propõe-se uma agenda de pesquisa na qual são marcadas as futuras linhas de pesquisa e as questões que devem ser respondidas com base nas lacunas acadêmicas identificadas. Os achados permitem identificar um maior interesse por temas relacionados à inteligência artificial, saúde e farmacêutica e automação nas ciências da saúde.

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