Knowledge and learning as drivers of competitiveness for Industry 4.0: a bibliometric analysis

Authors

DOI:

https://doi.org/10.5585/exactaep.2021.18916

Keywords:

Industry 4.0, Knowledge, Learning. Bibliometrics, Systematic literature review

Abstract

Industry 4.0 is characterized by widespread use of digital technologies and promotes deep changes in production and consumption relationships. The workforce profile is changing and, consequently, studying and understanding the management of knowledge and learning is essential for competitive success. This work seeks to explore, through systematic review and bibliometric analyses, how the constructs Industry 4.0, Knowledge and Learning are being related in literature. Articles were identified and categorized considering the type of knowledge studied, methodology, approach and countries of origin of authors. The results show that studies associated with academic preparation and the combination of human and machine knowledge are predominant. Theoretical works with case studies are the most common and practical applications are increasingly frequent, especially in the academic context. Countries with more developed economies are prevalent in publications. The topic is still recent and this research may be expanded.

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Author Biographies

Diego Augustus Senna, Universidade Federal de Minas Gerais – UFMG / Belo Horizonte (MG)

Mestre em Saneamento, Meio Ambiente e Recursos Hídricos

Jurema Suely de Araújo Nery Ribeiro, Universidade FUMEC / Belo Horizonte (MG)

Doutora em Sistemas de Informação e Gestão do Conhecimento

 

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Published

2023-06-12

How to Cite

Senna, D. A., & Ribeiro, J. S. de A. N. (2023). Knowledge and learning as drivers of competitiveness for Industry 4.0: a bibliometric analysis. Exacta, 21(2), 431–454. https://doi.org/10.5585/exactaep.2021.18916