Vol. 36 No. 2 (2023): Revista ION
Articles

Trends in converging technologies in industry 4.0: a literature review

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  • Paula Andrea Rodríguez-Correa,
  • Camilo Andrés Echeverri-Gutiérrez,
  • Alejandro Valencia-Arias,
  • Leidy Catalina Acosta-Agudelo,
  • Mauricio Echeverri-Gutiérrez
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
DOI: https://doi.org/10.18273/revion.v36n2-2023006

Published 2023-06-30

Keywords

  • Converging technologies,
  • Industry 4.0,
  • Organizational management,
  • Digitization,
  • Automation

How to Cite

Rodríguez-Correa, P. A., Echeverri-Gutiérrez, C. A., Valencia-Arias, A., Acosta-Agudelo, L. C., & Echeverri-Gutiérrez, M. (2023). Trends in converging technologies in industry 4.0: a literature review. Revista ION, 36(2), 83–100. https://doi.org/10.18273/revion.v36n2-2023006

Copyright (c) 2023 Paula Andrea Rodríguez-Correa, Camilo Andrés Echeverri-Gutiérrez, Alejandro Valencia-Arias, Leidy Catalina Acosta-Agudelo, Mauricio Echeverri-Gutiérrez

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Facing the challenges that Industry 4.0 has brought to organizations, convergent technologies have gained great importance to respond to some of today’s needs. Therefore, this study proposes as a central objective to identify the thematic trends in studies of converging technologies in Industry 4.0. Based on this, four research questions are included. A bibliometric analysis is carried out from the PRISMA statement. The Scopus and Web of Sciences databases are selected and finally, 137 documents are selected to carry out the analysis. The results make it possible to identify the main research actors, that is, the main references in terms of authors, journals and countries that generate the greatest impact on the subject. The evolutionary behavior of the research topics is also analyzed based on the most recurring keywords per year. Thematic clusters and the most frequent and current themes in the literature are identified using the VOSviewer software. In this way, a research agenda is proposed in which future lines of research are marked and the questions that must be answered based on the identified academic gaps. The findings allow us to identify a greater interest in topics related to artificial intelligence, health care and pharmaceuticals and automation in health sciences.

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