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AI between Threat and Benefactor for the Competences of the Human Working Force

Author

Listed:
  • Olimpia Ban

    (University of Oradea, Oradea, Romania)

  • Irina Maiorescu

    (Bucharest University of Economic Studies, Romania)

  • Mihaela Bucur

    (Bucharest University of Economic Studies, Romania)

  • Gabriel Cristian Sabou

    (Bucharest University of Economic Studies, Romania)

  • Betty Cohen Tzedec

    (Bucharest University of Economic Studies, Romania)

Abstract

The fast pace of the inclusion of AI in almost all sectors of human activity, with more and more accurate and effective results, transforms society at all levels. Changes have already been noticed in the structure of jobs offers for human tasks, since AI provides skills that can successfully replace human competencies in certain areas of activity. Hence, our paper aimed to investigate whether AI is perceived as a threat or a benefactor for the competencies of the human workforce. The analysis of the relevant scientific literature was followed by a quantitative investigation on 512 adult persons of all ages, sex, and having various work experiences. Research results indicate that job losses, dehumanisation of the work, as well as lower intellectual capacity and skills for humans that are no longer used to solve problems and work tasks on their own, are the main threats brought by AI. At the same time, there are perceived AI benefits, such as rapidity in solving some work tasks and reducing the physical and mental strain of employees. In general, it can be said that younger generations, who also have less work experience, are more open to using the AI competencies to solve their work tasks.

Suggested Citation

  • 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.
    • Handle: RePEc:aes:amfeco:v:26:y:2024:i:67:p:762
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    References listed on IDEAS

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    1. Huang, Yingying & Gursoy, Dogan, 2024. "How does AI technology integration affect employees’ proactive service behaviors? A transactional theory of stress perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    2. Chiu, Yi-Te & Zhu, Yu-Qian & Corbett, Jacqueline, 2021. "In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations," International Journal of Information Management, Elsevier, vol. 60(C).
    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. Sowa, Konrad & Przegalinska, Aleksandra & Ciechanowski, Leon, 2021. "Cobots in knowledge work," Journal of Business Research, Elsevier, vol. 125(C), pages 135-142.
    5. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    6. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    7. Mónica Segovia-Perez & Brana Jianu & Iis Tussyadiah, 2023. "Assessing Turnover Intentions of Algorithmically Managed Hospitality Workers," Springer Proceedings in Business and Economics, in: Berta Ferrer-Rosell & David Massimo & Katerina Berezina (ed.), Information and Communication Technologies in Tourism 2023, pages 349-354, Springer.
    8. 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.
    9. Brougham, David & Haar, Jarrod, 2018. "Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace," Journal of Management & Organization, Cambridge University Press, vol. 24(2), pages 239-257, March.
    10. Lukas Lanz & Roman Briker & Fabiola H. Gerpott, 2024. "Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine Learning," Journal of Business Ethics, Springer, vol. 189(3), pages 625-646, January.
    11. Dorotic, Matilda & Stagno, Emanuela & Warlop, Luk, 2024. "AI on the street: Context-dependent responses to artificial intelligence," International Journal of Research in Marketing, Elsevier, vol. 41(1), pages 113-137.
    12. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
    13. Sarah Bankins & Paul Formosa, 2023. "The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work," Journal of Business Ethics, Springer, vol. 185(4), pages 725-740, July.
    14. Dewie Tri Wijayati & Zainur Rahman & A’rasy Fahrullah & Muhammad Fajar Wahyudi Rahman & Ika Diyah Candra Arifah & Achmad Kautsar, 2022. "A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership," International Journal of Manpower, Emerald Group Publishing Limited, vol. 43(2), pages 486-512, January.
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    More about this item

    Keywords

    AI threats; AI benefits; competencies; human workforce; workplace.;
    All these keywords.

    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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