Analysis of the Adequacy of Employees’ Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries
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 adaptatio...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editura ASE
2024-08-01
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| Series: | Amfiteatru Economic |
| Subjects: | |
| Online Access: | https://www.amfiteatrueconomic.ro/temp/Article_3329.pdf |
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| Summary: | 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 underutilised, 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.
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| ISSN: | 1582-9146 2247-9104 |