PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2023 | z. 181 Nowoczesność przemysłu i usług = Modernity of industry and services | 341--356
Tytuł artykułu

Uncertainties and Challenges in Human Resource Management in the Era of Artificial Intelligence

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of this article is to discuss the impact of Artificial Intelligence (AI) on various areas of the Human Resources Management (HRM) and to indicate whether there are uncertainties and challenges associated with it.^^ Design/methodology/approach: The article attempts to answer the following research questions: RQ1: What changes and uncertainties related to the HRM await modern enterprises?; RQ2: How do enterprises assess their ability to use AI in different areas of the HRM?; RQ3: Are enterprises ready for changes related to the implementation of AI in the HRM? Bearing the above in mind, the analysis of domestic and foreign literature sources and the author's pilot study using the online survey questionnaire as a research tool were adopted as a research method. The survey was carried out among a selected group of medium and large enterprises. ^^ Findings: The evaluation of the collected data has shown that companies are mostly aware of changes and uncertainties associated with the issue of human resources management (HRM) in the era of evolution of modern technologies using AI but, due to the fact that this is a completely new situation for them, it is impossible to refer to further consequences of AI interference with the HRM. ^^ Research limitations/implications: The study was a preliminary one. It is scheduled to be extended in the future to cover a wider scope of impact of AI technology on the HRM. AI is a constantly unwinding topic, so the actions taken by the company or analyzed by researchers related to the use of AI in the HRM may turn out to be outdated in the near future. Practical implications: The use of the AI technology in the HRM means in practice accelerating the implementation of the HRM activities and obtaining better work efficiency, thus achieving the HRM's goals in a shorter time. This is still associated with hybrid human- and-AI work, but it is possible that human work in some HRM tasks will be completely replaced in the future by modern technology. ^^ Social implications: The article indirectly addresses the issue of the prevailing anxiety and uncertainty about maintaining some jobs in the face of the development of AI tools. The hitherto research indicates that some of them may be justified, especially when it comes to repetitive analytical tasks in the HRM area. ^^ Originality/value: The article discusses the current topic of the use of AI-based solutions in business.(original abstract)
Twórcy
  • Częstochowa University of Technology, Poland
Bibliografia
  • 1. Abdeldayem, M.M., Aldulaimi, S.H. (2020). Trends and opportunities of artificial intelligence in human resource management: Aspirations for public sector in Bahrain. International Journal of Scientific and Technology Research, 9(1), pp. 3867-3871.
  • 2. Abraham, M., Niessen, C., Schnabel, C., Lorek, K., Grimm, V., Moslein, K., Wrede, M. (2019). Electronic monitoring at work: The role of attitudes, functions, and perceived control for the acceptance of tracking technologies. Human Resource Management Journal, 29(4), pp. 657-675. https://doi.org/10.1111/1748-8583.12250.
  • 3. Adamiec, M., Kożusznik B. (2000). Zarządzanie zasobami ludzkimi. Kraków: Akade, pp. 13-14.
  • 4. Ahmed, O. (2018). Artificial intelligence in HR. International Journal of Research and Analytical Reviews, vol. 5, no. 4, pp. 971-978. DOI:10.31221/osf.io/cfwvm
  • 5. AI a praca biurowa: co może zmienić sztuczna inteligencja (2023). Retrieved from: https://di.com.pl/ai-a-praca-biurowa-co-moze-zmienic-sztuczna-inteligencja- 69286?utm_source=upday&utm_medium=referral.
  • 6. Armstrong, M. (1996). Zarządzanie zasobami ludzkimi. Strategia i działanie. Kraków: Wydawnictwo Profesjonalnej Szkoły Biznesu, p. 9.
  • 7. Bell, B.S., Kanar, A.M., Kozlowski, S.W. (2008). Current issues and future directions in simulation-based training in North America. The International Journal of Human Resource Management, 19(8), pp. 1416-1434. https://doi.org/10.1080/09585190802200173
  • 8. Bhave, D.P., Teo, L.H., Dalal, R.S. (2020). Privacy at work: A review and a research agenda for a contested terrain. Journal of Management, 46(1), 127-164. https://doi.org/10.1177/ 0149206319878254.
  • 9. Bondarouk, T., Brewster, C. (2016). Conceptualising the future of HRM and technology research. The International Journal of Human Resource Management, 27(21), 2652-2671. https://doi.org/10.1080/09585192.2016.1232296
  • 10. Bondarouk, T., Harms, R., Lepak, D. (2017). Does e-HRM lead to better HRM service? The International Journal of Human Resource Management, 28(9), pp. 1332-1362. https://doi.org/10.1080/09585192.2015.1118139
  • 11. Bondarouk, T., Parry, E., Furtmueller, E. (2017). Electronic HRM: Four decades of research on adoption and consequences. The International Journal of Human Resource Management, 28(1), pp. 98-131. https://doi.org/10.1080/09585192.2016.1245672
  • 12. Burg, C. (2015). The role of human resource management in corporate social responsibility: case study analysis of KPMG Luxembourg and PWC Luxembourg. Unpublished Master Thesis. Luxembourg: Louvcin School of Management.
  • 13. Cooke, F.L., Liu, M., Liu, L.A., Chen, C.C. (2019). Human resource management and industrial relations in multinational corporations in and from China: Challenges and new insights. Human Resource Management, 58(5), pp. 455-471. https://doi.org/10. 1002/hrm.21986
  • 14. Cooke, F.L., Wood, G., Wang, M., Veen, A. (2019). How far has international HRM travelled? A systematic review of literature on multinational corporations (2000-2014). Human Resource Management Review, 29(1), pp. 59-75. https://doi.org/10. 1016/j.hrmr.2018.05.001
  • 15. Danysz, K., Cicirello, S., Mingle, E., Assuncao, B., Tetarenko, N., Mockute, R., Desai, S. (2019). Artificial intelligence and the future of the drug safety professional. Drug safety, 42(4), pp. 491-497. DOI: 10.1007/s40264-018-0746-z
  • 16. Das, S., Barik, R., Mukherje, A. (2020). Salary prediction using regression techniques. Engineering Research Network (EngRN), Vol. 35, No. 2, pp. 1-5, doi: 10.2139/ssrn.3526707
  • 17. Ertel, W. (2018). Introduction to artificial intelligence. Springer.
  • 18. Eubanks, B. (2019). Artificial Intelligence for HR Use AI to Support and Develop a Successful Workforce. London/New York: Kogan Press.
  • 19. Goldfarb, A., Taska, B., Teodoridis, F. (2020). Artificial intelligence in health care? Evidence from online job postings. AEA Papers and Proceedings, Vol. 110, No. 11, pp. 400-404, doi: 10.1257/ pandp.20201006
  • 20. Holland, J.H. (1992). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. Cambridge, MA: MIT Press.
  • 21. Huang, M.H., Rust, R.T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), pp. 155-172. https://doi.org/10.1177/1094670517752459.
  • 22. Jantan, H., Hamdan, A.R., Othman, Z.A. (2010). Human talent prediction in HRM using C4.5 classification algorithm. International Journal on Computer Science and Engineering, Vol. 2, No. 8, pp. 2526-2534.
  • 23. Jia, Q., Guo, Y., Li, R., Li, Y., Chen, Y. (2018). A Conceptual Artificial Intelligence Application Framework in Human Resource Management. Proc. ICEB Conf., pp. 106-114.
  • 24. Kambur, E., Akar, C. (2022). Human resource developments with the touch of artificial intelligence: a scale development study. International Journal of Manpower, Vol. 43, No. 1, pp. 168-205. https://doi.org/10.1108/IJM-04-2021-0216.
  • 25. Kaplan, A., Haenlein, M. (2019), Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, vol. 62, no. 1, pp. 15-25. https://doi.org/10.1016/j.bushor.2018.08.004
  • 26. Lariviere, B., Bowen, D., Andreassen, T.W., Kunz, W., Sirianni, N.J., Voss, C., Wunderlich, N.V., De Keyser, A. (2017). Service Encounter 2.0: An investigation into the roles of technology, employees and customers. Journal of Business Research, 79, pp. 238- 246. https://doi.org/10.1016/j.jbusres.2017.03.008
  • 27. Malik, A., Budhwar, P., Srikanth, N.R., Varma, A. (2019). May the Bots Be with You! Opportunities and Challenges of Artificial Intelligence for Rethinking Human Resource Management Practices. Paper Accepted for presentation BAM 2019. https://www.bam.ac.uk/sites/bam.ac.uk/files/contribution294_0.pdf
  • 28. Marteklas, M. (2023). SI w rekrutacji - jakie są możliwości i ograniczenia? Retrieved from: https://www.chip.pl/2023/07/si-w-rekrutacji-jakie-sa-mozliwosci-i-ograniczenia? utm_source=upday&utm_medium=referral
  • 29. Mazur, P. (2023). To kobiety powinny bardziej bać się sztucznej inteligencji. Retrieved from: https://www.pulshr.pl/restrukturyzacja/to-kobiety-powinny-bardziej-bac-sie- sztucznej-inteligencji,98538.amp?utm_source=upday&utm_medium=referral.
  • 30. Murphy, M. (2006). Leadership IQ study: why new hires fail. Public Management, Vol. 333611, No. 88, pp. 1-2.
  • 31. Otley, D. (1999). Performance management: a framework for management control systems research. Management accounting research, vol. 10, no. 4, pp. 363-382. https://doi.org/10.1006/mare.1999.0115
  • 32. Oto 7 największych wyzwań dla polskiego rynku pracy (2023). Retrieved from: https://www.pulshr.pl/zarzadzanie/oto-7-najwiekszych-wyzwan-dla-polskiego-rynku- pracy,98652.amp?utm_source=upday&utm_medium=referral
  • 33. Parry, E., Tyson, S. (2011). Desired goals and actual outcomes of e-HRM. Human Resource Management Journal, 21(3), pp. 335-354. https://doi.org/10.1111/j.1748-8583. 2010.00149.x
  • 34. Pasławski, K. (2023). AI: polskie firmy są daleko za światem, ale potencjał jest wielki. Retrieved from: https://crn.pl/aktualnosci/ai-polskie-firmy-sa-daleko-za-swiatem-ale- potencjal-jest-wielki/
  • 35. Praca dla 80 proc. kobiet zagrożona przez sztuczną inteligencję, (2023). Retrieved from: https://www.monitor-press.info/index.php/pl/news/19796-u-ssa-stucnii-intelekt-zagrozuje- robocim-miscyam-80-zinok
  • 36. Raport: sztuczna inteligencja i starzenie się społeczeństwa wśród największych wyzwań rynku pracy. (2023). Retrieved from: https://www.wnp.pl/finanse/raport-sztuczna- inteligencja-i-starzenie-sie-spoleczenstwa-wsrod-najwiekszych-wyzwan-rynku- pracy,728387.amp?utm_source=upday&utm_medium=referral
  • 37. Rutka, R. (2001). Kierowanie. In: A. Czermiński, M. Czerska, B. Nogalski, R. Rutka, J. Apanowicz (eds.), Zarządzanie organizacjami (p. 86). Toruń: Towarzystwo Naukowe Organizacji i Kierownictwa Stowarzyszenie Wyższej Użyteczności "Dom Organizatora".
  • 38. Sakka, F., El Maknouzi, M.E., Sadok, H. (2022). Human resource management in the era of artificial intelligence: future HR work practices, anticipated skill set, financial and legal implications. Academy of Strategic Management Journal, 21(S1), pp. 1-14.
  • 39. Scherer, M.U. (2015). Regulating artificial intelligence systems: Risks, challenges, competencies, and strategies. Harvard Journal of Law and Technology, 29(2), pp. 353-400.
  • 40. Shanmugam, S. (2015). Model employee appraisal system with artificial intelligence capabilities. Journal of Cases on Information Technology, Vol. 17, No. 3, pp. 30-40, doi: 10.4018/JCIT.2015070104.
  • 41. Sheila, L.M., Steven, G., Chad, M., Mayank, G. (2018). The new age: artificial intelligence for human resource opportunities and functions. Ernst & Young LLP, pp. 1-8.
  • 42. Sztuczna Inteligencja rozlewa się po świecie (2022). Retrieved from: https://www.erp- view.pl/rynek-it/30036-sztuczna-inteligencja-rozlewa-sie-po-swiecie.html
  • 43. Sztuczna inteligencja. Ludzie masowo stracą pracę przez ChatGPT (2023). Retrieved from: https://www.parkiet.com/technologie/art38683651-sztuczna-inteligencja-ludzie-masowo- straca-prace-przez-chatgpt
  • 44. Tewari, I., Pant, M. (2020). Artificial Intelligence Reshaping Human Resource Management: A Review. 2020 IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI), Buldhana, India, pp. 1-4, doi: 10.1109/ICATMRI51801.2020.9398420.
  • 45. Tewari, I., Pant, M. (2020). Artificial Intelligence Reshaping Human Resource Management: A Review. 2020 IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI). doi:10.1109/icatmri51801. 2020.9398420
  • 46. Upadhyay, A.K., Khandelwal, K. (2018). Applying artificial intelligence: implications for recruitment. Strategic HR Review, vol. 17, no. 5, pp. 255-258. DOI:10.1108/SHR-07-2018- 0051
  • 47. Urbaniak, P. (2023). ChatGPT zaczął zwalniać ludzi z pracy. Dosłownie. Retrieved from: https://www.telepolis.pl/amp/wiadomosci/aplikacje/chatgpt-openai-hr-zwolnienie- praca?utm_source=upday&utm_medium=referral
  • 48. Walczak, N. (2023). Unijne regulacje kształtują przyszłość AI. Przyjęto projekt dotyczący nowych standardów. Retrieved from: https://socialpress.pl/2023/06/unijne-regulacje- ksztaltuja-przyszlosc-ai-przyjeto-projekt-dotyczacy-nowych-standardow?utm_source= upday&utm_medium=referral
  • 49. Yawalkar, V. (2019). A Study of Artificial Intelligence and its role in Human Resource Management. IJRAR, Vol. 6, Iss. 1, pp. 20-24.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171684726

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.