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Future Job Profile at Smart Factories

Author

Listed:
  • Andrej Jerman

    (Ljubljanski potniski promet, Slovenia)

  • Tine Bertoncel

    (University of Primorska, Slovenia)

  • Ivan Erenda

    (TPV d.o.o., Slovenia)

  • Anita Trnavcevic

    (University of Primorska, Slovenia)

Abstract

In this paper, we focus on future job profiles at smart factories. We conducted a case study from the Slovene automotive industry, because this industry is one of the first to adopt the guidelines of Industry 4.0 and has already started transforming into a smart factory. The method of interviewing a focus group was chosen as the method of data collection. An interview with focus group experts was done with the aim of getting data on job profiles and competencies in the future. Our sample included six participants, managers from automotive company TPV in Slovenia, who are the most knowledgeable informants,due to their expertise on the topic of the study. The key theoretical contributions are to be found in the list of future job profiles, which is under-researched, especially in the field of smart manufacturing. Therefore, the identification of those is an important theoretical contribution of this study.

Suggested Citation

  • Andrej Jerman & Tine Bertoncel & Ivan Erenda & Anita Trnavcevic, 2018. "Future Job Profile at Smart Factories," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 16(4 (Winter), pages 401-412.
    • Handle: RePEc:mgt:youmgt:v:16:y:2018:i:4:p:401-412
    DOI: 10.26493/1854-6935.16.401-412
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    References listed on IDEAS

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    1. Hungerland, Fabian & Quitzau, Jörn & Zuber, Christopher & Ehrlich, Lars & Growitsch, Christian & Rische, Marie-Christin & Schlitte, Friso & Haß, Hans-Joachim, 2015. "The digital economy," Strategy 2030 - Wealth and Life in the Next Generation 21e, Hamburg Institute of International Economics (HWWI) and Berenberg.
    2. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Frank Werner & Marina Ivanova, 2016. "A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 386-402, January.
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    More about this item

    Keywords

    Industry 4.0; smart factory; job profiles;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

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