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Analysis of the Adequacy of Employees Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries

Author

Listed:
  • Nicolae Istudor

    (Bucharest University of Economic Studies, Romania)

  • Aura-Gabriela Socol

    (Bucharest University of Economic Studies, Romania)

  • Marius-Corneliu Marinas

    (Bucharest University of Economic Studies, Romania)

  • Cristian Socol

    (Bucharest University of Economic Studies, Romania)

Abstract

The adoption of Artificial Intelligence (AI) technologies is reshaping the labour market, involving the enhancement of employees' digital skills and the acquisition of a mix of hard and soft skills. In this study, our objective was to identify, in an original way, the potential for adaptation to AI among company personnel in Central and Eastern European countries (CEE) based on four criteria and 17 analysis variables. Given the complexity of the research, we used three specific research methods for Multiple-criteria decision-making to identify the most important variables that influence rapid adaptation to AI and to classify the countries in the sample according to their level of performance. Based on the results obtained, we argue that any skills development strategy for AI should target upskilling and reskilling programmes aimed at developing above-average hard and soft skills. While increasing the number of graduates specialising in educational fields related to AI is essential in the new stage of the industrial revolution, the potential of this resource is under-utilised, both due to brain drain and slow technological progress, as well as the migration of technological start-ups. For larger countries, the development of technological enclaves to attract specialised human resources and technology companies is the only way to boost their technological revolution.

Suggested Citation

  • Nicolae Istudor & Aura-Gabriela Socol & Marius-Corneliu Marinas & Cristian Socol, 2024. "Analysis of the Adequacy of Employees Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 703-703, August.
    • Handle: RePEc:aes:amfeco:v:26:y:2024:i:67:p:703
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    References listed on IDEAS

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    More about this item

    Keywords

    Artificial Intelligence (AI); soft skills; hard skills; upskilling; reskilling; Multicriteria Decision Analysis (MCDM); Industry 5.0;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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