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Lifelong Learning as the Key Competency for Industry 4.0

Author

Listed:
  • Julie Čermáková

    (University of South Bohemia, Faculty of Economic, Department of Applied Mathematics and Informatics, Studentská 13, České Budejovice CZ-370 05, Czech Republic)

  • Michal Houda
  • Ladislav Rolínek

    (University of South Bohemia, Faculty of Economic, Department of Applied Mathematics and Informatics, Studentská 13, České Budejovice CZ-370 05, Czech Republic)

Abstract

Pressure in most companies requires employers to implement new strategies for the development of competencies through employee lifelong learning, taking into account ethics in the conditions of Industry 4.0, which is a topic presented in the theoretical introduction of the paper. The article aims to identify the characteristics influencing the development of lifelong learning with regard to ethics in the conditions of Industry 4.0. To meet the objective of this article, a hypothesis was formulated to determine the statistical significance of particular characteristics of the key competency of lifelong learning. The results of the ANOVA test for the lifelong learning competency show that the respondents' answers vary depending on their age, the level and field of their education, and their position in the organization. In particular, the authors used linear regression to evaluate the impact of age, gender, field and level of education, job position, the tenure of this job position and the size of company. From the results of the linear regression, it can be stated that the generation aged above 41 years, middle management and specialists have the closer relationship to lifelong learning than the rest of the population.

Suggested Citation

  • Julie Čermáková & Michal Houda & Ladislav Rolínek, 2021. "Lifelong Learning as the Key Competency for Industry 4.0," Acta Universitatis Bohemiae Meridionalis, University of South Bohemia in Ceske Budejovice, Faculty of Economics, vol. 24(2), pages 15-23.
  • Handle: RePEc:boh:actaub:v:24:y:2021:i:2:p:15-23
    DOI: 10.32725/acta.2021.004
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    References listed on IDEAS

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    1. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
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    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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