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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| Format: | Article |
| Language: | English |
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Editura ASE
2024-08-01
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| Series: | Amfiteatru Economic |
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| Online Access: | https://www.amfiteatrueconomic.ro/temp/Article_3329.pdf |
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| author | Nicolae Istudor Aura-Gabriela Socol Marius-Corneliu Marinaș Cristian Socol |
| author_facet | Nicolae Istudor Aura-Gabriela Socol Marius-Corneliu Marinaș Cristian Socol |
| author_sort | Nicolae Istudor |
| collection | DOAJ |
| description | 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.
|
| format | Article |
| id | doaj-art-4edc543845da4440bbf02cdf1dc2a09e |
| institution | DOAJ |
| issn | 1582-9146 2247-9104 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Editura ASE |
| record_format | Article |
| series | Amfiteatru Economic |
| spelling | doaj-art-4edc543845da4440bbf02cdf1dc2a09e2025-08-20T03:19:24ZengEditura ASEAmfiteatru Economic1582-91462247-91042024-08-012667703 72010.24818/EA/2024/67/703 Analysis of the Adequacy of Employees’ Skills for the Adoption of Artificial Intelligence in Central and Eastern European CountriesNicolae Istudor0https://orcid.org/0000-0002-4581-4548Aura-Gabriela Socol1https://orcid.org/0009-0008-5852-8357Marius-Corneliu Marinaș 2https://orcid.org/0000-0003-0297-8208Cristian Socol3https://orcid.org/0009-0007-9452-7290Bucharest University of Economic Studies, Bucharest, RomaniaBucharest University of Economic Studies, Bucharest, RomaniaBucharest University of Economic Studies, Bucharest, RomaniaBucharest University of Economic Studies, Romania 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. https://www.amfiteatrueconomic.ro/temp/Article_3329.pdfartificial intelligence (ai)soft skillshard skillsupskillingreskillingmulticriteria decision analysis (mcdm)industry 5.0 |
| spellingShingle | Nicolae Istudor Aura-Gabriela Socol Marius-Corneliu Marinaș Cristian Socol Analysis of the Adequacy of Employees’ Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries Amfiteatru Economic artificial intelligence (ai) soft skills hard skills upskilling reskilling multicriteria decision analysis (mcdm) industry 5.0 |
| title | Analysis of the Adequacy of Employees’ Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries |
| title_full | Analysis of the Adequacy of Employees’ Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries |
| title_fullStr | Analysis of the Adequacy of Employees’ Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries |
| title_full_unstemmed | Analysis of the Adequacy of Employees’ Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries |
| title_short | Analysis of the Adequacy of Employees’ Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries |
| title_sort | analysis of the adequacy of employees skills for the adoption of artificial intelligence in central and eastern european countries |
| topic | artificial intelligence (ai) soft skills hard skills upskilling reskilling multicriteria decision analysis (mcdm) industry 5.0 |
| url | https://www.amfiteatrueconomic.ro/temp/Article_3329.pdf |
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