Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies

The technology innovation, especially in the case of artificial intelligence, has significantly transformed the work processes and how they are organised and performed. Even if the adoption of advanced technologies usually leads to a higher work performance, there are risks of negative disruption...

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Main Authors: Constanța-Nicoleta Bodea, Mario Paparic, Radu Ioan Mogoș, Maria-Iuliana Dascălu
Format: Article
Language:English
Published: Academy of Economic Studies of Bucharest 2024-02-01
Series:Amfiteatru Economic
Subjects:
Online Access:https://www.amfiteatrueconomic.ro/temp/Article_3283.pdf
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author Constanța-Nicoleta Bodea
Mario Paparic
Radu Ioan Mogoș
Maria-Iuliana Dascălu
author_facet Constanța-Nicoleta Bodea
Mario Paparic
Radu Ioan Mogoș
Maria-Iuliana Dascălu
author_sort Constanța-Nicoleta Bodea
collection DOAJ
description The technology innovation, especially in the case of artificial intelligence, has significantly transformed the work processes and how they are organised and performed. Even if the adoption of advanced technologies usually leads to a higher work performance, there are risks of negative disruptions in the working systems, such as non-ethical use and social negative effects. The paper presents the results of an ethnographic research conducted by the authors, with the objective to identify the impact of the artificial intelligence adoption in the workplace on the professional knowledge and skills requirements and on the upskilling and reskilling strategies. Three different domains were considered: information technology, education, and scientific research. One relevant conclusion of the research is that knowledge and skills requirements should be studied from multiple perspectives, such as profession dynamics, not only from the technology innovation perspective. The research originality mainly consists in the way in which the concept of the level of upskilling/reskilling importance is defined and applied, based on professional knowledge and skills development requirements. By using the assessed level of upskilling/reskilling importance, strategies and related actions may be defined and undertaken. By substantiating this manner of setting up the upskilling and reskilling strategies and actions, the research has a theoretical and practical impact in the domain of talent management.
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spelling doaj.art-31ef4de2ce5d41aeb9f24169e8cc33fc2024-02-09T09:17:12ZengAcademy of Economic Studies of BucharestAmfiteatru Economic1582-91462247-91042024-02-01266512614410.24818/EA/2024/65/126 Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling StrategiesConstanța-Nicoleta Bodea0https://orcid.org/0000-0001-5542-8133Mario Paparic1https://orcid.org/0009-0006-2731-1548 Radu Ioan Mogoș 2https://orcid.org/0009-0007-6305-4929 Maria-Iuliana Dascălu3https://orcid.org/0000-0001-8824-5704Bucharest University of Economic Studies, Romania and National Institute for Economic Research, Romanian Academy, Bucharest, RomaniaAlma Mater Europaea ECM, Maribor, Slovenia and Calor Gas Ireland, Dublin, IrelandBucharest University of Economic Studies, Bucharest, RomaniaNational University of Science and Technology Politehnica Bucharest, RomaniaThe technology innovation, especially in the case of artificial intelligence, has significantly transformed the work processes and how they are organised and performed. Even if the adoption of advanced technologies usually leads to a higher work performance, there are risks of negative disruptions in the working systems, such as non-ethical use and social negative effects. The paper presents the results of an ethnographic research conducted by the authors, with the objective to identify the impact of the artificial intelligence adoption in the workplace on the professional knowledge and skills requirements and on the upskilling and reskilling strategies. Three different domains were considered: information technology, education, and scientific research. One relevant conclusion of the research is that knowledge and skills requirements should be studied from multiple perspectives, such as profession dynamics, not only from the technology innovation perspective. The research originality mainly consists in the way in which the concept of the level of upskilling/reskilling importance is defined and applied, based on professional knowledge and skills development requirements. By using the assessed level of upskilling/reskilling importance, strategies and related actions may be defined and undertaken. By substantiating this manner of setting up the upskilling and reskilling strategies and actions, the research has a theoretical and practical impact in the domain of talent management.https://www.amfiteatrueconomic.ro/temp/Article_3283.pdfupskillingreskillingartificial intelligencecompetenceethnographytalent management
spellingShingle Constanța-Nicoleta Bodea
Mario Paparic
Radu Ioan Mogoș
Maria-Iuliana Dascălu
Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies
Amfiteatru Economic
upskilling
reskilling
artificial intelligence
competence
ethnography
talent management
title Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies
title_full Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies
title_fullStr Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies
title_full_unstemmed Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies
title_short Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies
title_sort artificial intelligence adoption in the workplace and its impact on the upskilling and reskilling strategies
topic upskilling
reskilling
artificial intelligence
competence
ethnography
talent management
url https://www.amfiteatrueconomic.ro/temp/Article_3283.pdf
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