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Machines 2018, 6(3), 41; https://doi.org/10.3390/machines6030041

A Bibliometric and Topic Analysis on Future Competences at Smart Factories

1
Faculty of Management, University of Primorska, Cankarjeva 5, 6000 Koper, Slovenia
2
Faculty of Economics & Business, University of Zagreb, Trg J.F. Kennedy 6, 10000 Zagreb, Croatia
*
Author to whom correspondence should be addressed.
Received: 16 August 2018 / Revised: 12 September 2018 / Accepted: 13 September 2018 / Published: 16 September 2018
(This article belongs to the Special Issue Smart Manufacturing, Digital Supply Chains and Industry 4.0)
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Abstract

The aim of the study is to review the topic of competences that will be present at smart factories. The study used bibliometric and topic analysis to achieve insight into new trends in Industry 4.0. Bibliometric analysis and topic mining was done on 43 peer-reviewed journal articles and conference papers, published before July 2018 in the Thomson Reuters’ Web of Science and Scopus databases, using the software tool Statistica Data Miner. Results are segmented into four sections: (1) personnel development in learning organizations, (2) training techniques for personnel, (3) future engineering profiles and engineering education, and (4) relational capabilities. Each section is thoroughly discussed in this paper. The study contributes to the pool of knowledge on Industry 4.0 phenomena by compiling competences needed at smart factories in the future. View Full-Text
Keywords: Industry 4.0; smart factory; human resources; future competences Industry 4.0; smart factory; human resources; future competences
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Jerman, A.; Pejić Bach, M.; Bertoncelj, A. A Bibliometric and Topic Analysis on Future Competences at Smart Factories. Machines 2018, 6, 41.

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