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Applying AI in the recruitment and selection process and building the organizational climate (part I)

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EN
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EN
Purpose: In this article, let us seek an answer to the question of what the implications of the use of AI in the area of recruitment and selection of employees (R&S) may be for the organisational climate. The first part of the article aims to identify the scope of the application of AI in HRM and to demonstrate the research gap regarding the impact of the use of AI in R&S on organisational climate. Design/methodology/approach: Desk research was conducted in the context of the use of AI in HRM. We have selected review articles that highlight the opportunities and risks of using AI. The article has been divided into two parts. In the first, we attempted to identify AI activity in HRM and R&S. In the second, we have conducted a detailed case study of AI applications in S&R and discussed its impact on the organisational climate. Findings: Our research has shown that the relationship between the use of AI in R&S and organisational climate has not been a focus of research to date. The research led to the conclusion that improvements in the efficiency of R&S caused by the application of AI, can have a significant impact on organisational climate. Due to the relatively young field of research as well as the pioneering practice of applying AI in this area, the consequences of its application are not yet well revealed. Originality/value: Typical variables for evaluating process execution, such as time, cost, quality, safety, have become essential perspectives for evaluating R&S task execution by AI. In the case of modern organisations, where value is created from knowledge and innovation, much of which is motivated by social interactions, there is a need for a creative atmosphere. Will homogenous corporate employees, selected by predictive algorithms, be able to be creative as a team? Will the polarisation of creative debates disappear? Will anyone in a unified organisation be able to challenge existing solutions and propose other, better ones? For the sake of efficiency improvements, do we want to renounce social relationships, the excitement of a new solution? These are the dilemmas we signal. Our research points to the challenges facing HR departments and professionals in the age of the digital revolution.
Rocznik
Tom
Strony
117--127
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
autor
  • Wroclaw University of Economics and Business, Faculty of Business and Management, Department of Labour, Capital and Innovation
  • Wroclaw University of Economics and Business, Faculty of Business and Management, Department of Labour, Capital and Innovation
Bibliografia
  • 1. Albassam, W.A. (2023). The Power of Artificial Intelligence in Recruitment: An Analytical Review of Current AI-Based Recruitment Strategies. International Journal of Professional Business Review, Vol. 8, No. 6, doi: 10.26668/businessreview/2023.v8i6.2089
  • 2. Aslran, A., Cooper, C., Khan, Z., Golgeci, I., Ali, I. (2021). Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies. International Journal of Manpower, Vol. 43, No. 1, pp. 1-14, doi: 10.1108/IJM-01-2021-0052
  • 3. Avgoustaki, A., Bessa, I. (2019). Examining the link between flexible working arrangement bundles and employee work effort. Human Resource Management, 58(4), pp. 431-449.
  • 4. Black, J.S., van Esch, P. (2020). AI-enabled recruiting: what is it and how should a manager use it? Business Horizons, Vol. 63, No. 2, pp. 215-226, doi: 10.1016/j.bushor.2019.12.001
  • 5. Blumen, D., Martines Cepellos, V. (2023). Dimensions of the use of technology and Artificial Intelligence (AI) in Recruitment and Selection (R&S): benefits, trends, and resistance. Cadernos EBAPE.BR, Vol. 21, No. 2, doi: 10.1590/1679-395120220080x
  • 6. Bondarouk, T., Brewster, C. (2016). Conceptualising the future of HRM and technology research. The International Journal of Human Resource Management, Vol. 27, No. 21, pp. 2652-2671, doi: 10.1080/09585192.2016.1232296
  • 7. Boustani, N.M. (2021). Artificial intelligence impact on banks clients and employees in an asian developing country. Journal of Asia Business Studies, Vol. 16, No. 2, pp. 267-278, doi: 10.1108/JABS-09-2020-0376
  • 8. Conroy, K.M., Minbaeva, D. (2020). New international HRM approaches and MNE strategies. The Oxford handbook of international business strategy. Oxford: Oxford University Press (forthcoming)
  • 9. Golej, R., Pietroń-Pyszczek, A., Kupczak P. (2023b). The recruiter - his role in the selection process. Scientific Papers Of Silesian University Of Technology, Organization And Management Series, No. 181, pp. 163-175, doi: 10.29119/1641-3466.2023.181.11
  • 10. Golej, R., Pietroń-Pyszczek, A., Wałęsa M. (2023a). Innovative forms of employee selection. Scientific Papers Of Silesian University Of Technology, Organization And Management Series, No. 181, pp. 191-202, doi: 10.29119/1641-3466.2023.181.13
  • 11. Gupta, A., Mishra, M. (2023). Artificial Intelligence for Recruitment and Selection. In: P. Tyagi, N. Chilamkurti, S. Grima, K. Sood, B. Balusamy (Ed.), The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B (pp. 1-11) (Emerald Studies in Finance, Insurance, and Risk Management). Leeds: Emerald Publishing Limited. Retrieved from: https://www.oecd.org/digital/, 5.02.2024.
  • 12. Hirsch, P.B. (2019). Tinker, tailor, soldier, spy. Journal of Business Strategy, Vol. 40, No. 4, pp. 53-56, doi: 10.1108/JBS-04-2019-0077
  • 13. Hmoud, B. (2021). The adoption of artificial intelligence in human resource management. Forum Scientiae Oeconomia, Vol. 9, No. 1, pp. 105-118, doi: 10.23762/FSO_VOL9_NO1_7
  • 14. Jarrahi, M. (2018). Artificial intelligence and the future of work: human-AI symbiosis in organizational decision making. Business Horizons, Vol. 16, No. 4, pp. 577-586, doi: 10.1016/j.bushor.2018.03.007
  • 15. Jatobá, M., Santos, J., Gutierriz, I., Moscon, D., Fernandes, P.O., Teixeira, J.P. (2019). Evoluęao da Pesquisa de Inteligencia Artificial em Recursos Humanos. Procedia Computer Science, Vol. 164, pp. 137-142, doi: 10.1016/j.procs.2019.12.165
  • 16. Jatobá, M.N., Ferreira, J.J., Fernandes, P.O., Teixeira, J.P. (2023). Intelligent human resources for the adoption of artificial intelligence: a systematic literature review. Journal of Organizational Change Management, Vol. 36, No. 7, pp. 1099-1124. Retrieved from: https://doi.org/10.1108/JOCM-03-2022-0075, 10.02.2024.
  • 17. Johnson, R.D., Stone, D.L., Lukaszewski, K.M. (2020). The benefits of eHRM and AI for talent acquisition. Journal of Tourism Futures, Vol. 7, No. 1, pp. 40-52, doi: 10.1108/JTF- 02-2020-0013
  • 18. Khatri, S., Pandey, D.K., Penkar, D., Ramani, J. (2020). Impact of artificial intelligence on human resources. Data International Conference on Data Management, Analytics and Innovation (ICDMAI), Vol. 1016, pp. 365-376, doi: 10.1007/978-981-13-9364-8_26
  • 19. Komisja Europejska, https://digital-strategy.ec.europa.eu/en/library/definition-artificial- intelligence-main-capabilities-and-scientific-disciplines, 5.02.2024.
  • 20. Kshetri, N. (2020). Artificial intelligence in human resource management in the Global South. Paper presented at Americas Conference of the Association-for-Information- Systems (AMCIS), 10 August, Retrieved from: https://aisel.aisnet.org/amcis2020/ org_transformation_is/org_transformation_is/27/?utm_source=aisel.aisnet.org%2Famcis2 020%2Forg_transformation_is%2Forg_transformation_is%2F27&utm_medium=PDF&ut m_campaign=PDFCoverPages, 10.03.2022.
  • 21. Malik, N., Tripathi, S.N., Kar, A.K., Gupta, S. (2021). Impact of artificial intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower, Vol. 43, No. 2, pp. 334-354, doi: 10.1108/IJM-03-2021-0173
  • 22. Minbaeva, D. (2021). Disrupted HR? Human Resource Management Review, Vol. 31, No. 4, doi: 10.1016/j.hrmr.2020.100820
  • 23. Mirowska, A., Mesnet, L. (2021). Preferring the devil you know: potential applicant reactions to artificial intelligence evaluation of interviews. Human Resource Management Journal, Vol. 1, No. 20, pp. 1-20, doi: 10.1111/1748-8583.12393
  • 24. Niehueser, W., Boak, G. (2020). Introducing artificial intelligence into a human resources function. Industrial and Commercial Training, Vol. 52, No. 2, pp. 121-130, doi: 10.1108/ICT-10-2019-0097
  • 25. Pereira, V., Hadjielias, E., Christofi, M., Vrontis, D. (2021). A systematic literature review on the impact of artificial intelligence on workplace outcomes: a multi-process perspective. Human Resource Management Review, Vol. 33, No. 1, pp. 1-22, doi: 10.1016/j.hrmr.2021.100857
  • 26. Pessach, D., Singer, G., Avrahami, D., Ben-Gal, H.C., Shmueli, E., Ben-Gal, I. (2020). Employees recruitment: a prescriptive analytics approach via machine learning and mathematical programming. Decision Support Systems, Vol. 134, doi: 10.1016/j.dss.2020.113290
  • 27. Pillai, R., Sivathanu, B. (2020). Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking: An International Journal, Vol. 27, No. 9, pp. 2599-2629, doi: 10.1108/BIJ-04-2020-0186
  • 28. Portal Sztucznej Inteligencji. Czym jest sztuczna inteligencja, https://www.gov.pl/web/ai/czym-jest-sztuczna-inteligencja2, 5.02.2024.
  • 29. Potgieter, I.L., Mokomane, S.E. (2020). Implementation of human resource management functions in selected small manufacturing companies in Ga-Rankuwa industrial area, Gauteng, South Africa. SA Journal of Human Resource Management, Vol. 18, No. 1, pp. 1¬11, doi: 10.4102/sajhrm.v18i0.1282
  • 30. Rab-Kettler, K., Lehnervp, B. (2019). Recruitment in the Times of Machine Learning. Management Systems in Production Engineering, Vol. 27, Iss. 2, doi:10.1515/mspe-2019- 0018
  • 31. Rathore, S. (2023). The Impact of AI on Recruitment and Selection Processes: Analysing the role of AI in automating and enhancing recruitment and selection procedures. International Journal for Global Academic & Scientific Research, Vol. 2, No. 2, doi: 10.55938/ijgasr.v2i2.50
  • 32. van Esch, P., Black, J.S. (2019). Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting. Business Horizons, Vol. 62, No. 6, pp. 729-739, doi: 10.1016/j.bushor.2019.07.004
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-eeae018c-4b43-4d7e-9266-9b13cd70b51a
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