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Qualitative and survey analysis demonstrates that digital competency and soft skills drive employee training in automotive firms, highlighting their role in sustaining competitive change.
Trends like advances in digital technologies and diversity in talent management necessitate continuous learning at the workplace and make European employers think about what competencies of their employees, in addition to basic digital competencies, are most in demand both today and in the foreseeable future. Considering this, identifying the main trends in employee training and development in the automotive industry in Central Europe and their impact on current and future competency profiles becomes the main purpose of this article. Both primary and secondary data has been analysed. The qualitative methodology in this article is based on the processing of the primary data of eight semi-structured interviews conducted from June through October 2023 with human resource managers and learning and development managers of selected Czech companies related to the automotive sector. An essential secondary data source was Eurostat's Continuous Vocational Training Survey on employee training and development within European countries in 2020 among 113,000 businesses. The findings in this article demonstrate that digital competency and soft skills are currently the most important competencies for employee development within the automotive sector in Central Europe. Implications for Central European audience: The results presented in this article emphasise the importance of adapting actual employee training and development programmes to technology trends influencing the automotive industry. It has been proven that employees' soft competencies are preferable today and will be in great demand in the next three years. This is because soft skills support the successful implementation of change and improve the competitiveness of the business in the long term, and both education and development managers and employees themselves realise this.
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Trávníčková et al. (2024) studied this question.
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