IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v26y2024i65p126.html
   My bibliography  Save this article

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

Author

Listed:
  • Constanta-Nicoleta Bodea

    (Bucharest University of Economic Studies, Romania and National Institute for Economic Research, Romanian Academy, Bucharest, Romania)

  • Mario Paparic

    (Alma Mater Europaea ECM, Maribor, Slovenia and Calor Gas Ireland, Dublin, Ireland)

  • Radu Ioan Mogos

    (Bucharest University of Economic Studies, Romania)

  • Maria-Iuliana Dascalu

    (National University of Science and Technology Politehnica Bucharest, Romania)

Abstract

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.

Suggested Citation

  • Constanta-Nicoleta Bodea & Mario Paparic & Radu Ioan Mogos & Maria-Iuliana Dascalu, 2024. "Artificial Intelligence Adoption in the Workplace and Its Impact on the Upskilling and Reskilling Strategies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 126-126, February.
  • Handle: RePEc:aes:amfeco:v:26:y:2024:i:65:p:126
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3283.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wim Naudé, 2021. "Artificial intelligence: neither Utopian nor apocalyptic impacts soon," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 30(1), pages 1-23, January.
    2. Milad Mirbabaie & Felix Brünker & Nicholas R. J. Möllmann Frick & Stefan Stieglitz, 2022. "The rise of artificial intelligence – understanding the AI identity threat at the workplace," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 73-99, March.
    3. Stephanie Kelley, 2022. "Employee Perceptions of the Effective Adoption of AI Principles," Journal of Business Ethics, Springer, vol. 178(4), pages 871-893, July.
    4. Braganza, Ashley & Chen, Weifeng & Canhoto, Ana & Sap, Serap, 2021. "Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust," Journal of Business Research, Elsevier, vol. 131(C), pages 485-494.
    5. Yoko E. Fukumura & Julie McLaughlin Gray & Gale M. Lucas & Burcin Becerik-Gerber & Shawn C. Roll, 2021. "Worker Perspectives on Incorporating Artificial Intelligence into Office Workspaces: Implications for the Future of Office Work," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mammadov Huseyn & Africa Ruiz-Gandara & Luis Gonzalez-Abril & Isidoro Romero, 2024. "Adoption of Artificial Intelligence in Small and Medium-Sized Enterprises in Spain: The Role of Competences and Skills," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 848-848, August.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olimpia Ban & Irina Maiorescu & Mihaela Bucur & Gabriel Cristian Sabou & Betty Cohen Tzedec, 2024. "AI between Threat and Benefactor for the Competences of the Human Working Force," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 762-762, August.
    2. Bavaresco, Rodrigo Simon & Nesi, Luan Carlos & Victória Barbosa, Jorge Luis & Antunes, Rodolfo Stoffel & da Rosa Righi, Rodrigo & da Costa, Cristiano André & Vanzin, Mariangela & Dornelles, Daniel & J, 2023. "Machine learning-based automation of accounting services: An exploratory case study," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    3. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
    4. Bongs Lainjo, 2024. "The Role of Artificial Intelligence in Achieving the United Nations Sustainable Development Goals," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 17(5), pages 1-30, September.
    5. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    6. Ružena Králiková & Laura Džuňová & Ervin Lumnitzer & Miriama Piňosová, 2022. "Simulation of Artificial Lighting Using Leading Software to Evaluate Lighting Conditions in the Absence of Daylight in a University Classroom," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    7. Shamim, Saqib & Yang, Yumei & Ul Zia, Najam & Khan, Zaheer & Shariq, Syed Muhammad, 2023. "Mechanisms of cognitive trust development in artificial intelligence among front line employees: An empirical examination from a developing economy," Journal of Business Research, Elsevier, vol. 167(C).
    8. Bar-Gil, Oshri & Ron, Tom & Czerniak, Ofir, 2024. "AI for the people? Embedding AI ethics in HR and people analytics projects," Technology in Society, Elsevier, vol. 77(C).
    9. Del Giudice, Manlio & Scuotto, Veronica & Papa, Armando & Singh, Sanjay Kumar, 2023. "The ‘bright’ side of innovation management for international new ventures," Technovation, Elsevier, vol. 125(C).
    10. Véra‐Line Montreuil & Roland Foucher, 2023. "Technological changes in the era of digitalization: What do collective agreements tell us?," Industrial Relations Journal, Wiley Blackwell, vol. 54(1), pages 20-39, January.
    11. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    12. Serge P. da Motta Veiga & Maria Figueroa-Armijos & Brent B. Clark, 2023. "Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness," Journal of Business Ethics, Springer, vol. 186(1), pages 199-216, August.
    13. Nadine Bachmann & Shailesh Tripathi & Manuel Brunner & Herbert Jodlbauer, 2022. "The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals," Sustainability, MDPI, vol. 14(5), pages 1-33, February.
    14. Zhou, Shuai & Yi, Ni & Rasiah, Rajah & Zhao, Haipeng & Mo, Zile, 2024. "An empirical study on the dark side of service employees’ AI awareness: Behavioral responses, emotional mechanisms, and mitigating factors," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    15. Naudé, Wim, 2023. "Melancholy Hues: The Futility of Green Growth and Degrowth, and the Inevitability of Societal Collapse," IZA Discussion Papers 16139, Institute of Labor Economics (IZA).
    16. Zahoor, Nadia & Donbesuur, Francis & Christofi, Michael & Miri, Domnan, 2022. "Technological innovation and employee psychological well-being: The moderating role of employee learning orientation and perceived organizational support," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    17. K. D. V. Prasad & Tanmoy De, 2024. "Generative AI as a catalyst for HRM practices: mediating effects of trust," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    18. Ion Popa & Marian Mihai Cioc & Andreea Breazu & Catalina Florentina Popa, 2024. "Identifying Sufficient and Necessary Competencies in the Effective Use of Artificial Intelligence Technologies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 1-33, February.
    19. Michael Haenlein & Ming-Hui Huang & Andreas Kaplan, 2022. "Guest Editorial: Business Ethics in the Era of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 867-869, July.
    20. De Obesso Arias, María de las Mercedes & Pérez Rivero, Carlos Alberto & Carrero Márquez, Oliver, 2023. "Artificial intelligence to manage workplace bullying," Journal of Business Research, Elsevier, vol. 160(C).

    More about this item

    Keywords

    upskilling; reskilling; artificial intelligence; competence; ethnography; talent management;
    All these keywords.

    JEL classification:

    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • I29 - Health, Education, and Welfare - - Education - - - Other
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:amfeco:v:26:y:2024:i:65:p:126. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.