Vloga umetne inteligence pri preobrazbi kadrovskega menedžmenta
DOI:
https://doi.org/10.32015/JIBM.2024.16.1.5Ključne besede:
UI, UI v HR, optimizacija HR procesov, programske rešitve za upravljanje HR z umetno inteligenco.Povzetek
Pričujoči članek raziskuje področje uporabe umetne inteligence (UI) v kadrovski službi (HR) s poudarkom na trenutnih trendih in napovedih glede prihodnjih trendov ter nadaljnjega razvoja. UI revolucionarno preoblikuje osnovne HR procese - od načrtovanja delovne sile, rekrutacije, do razvoja zaposlenih in spodbujanja raznolikosti ter vključenosti. UI igra pomembno vlogo pri naslavljanju pristranskosti pri zaposlovanju, izboljšuje objektivnost in spodbuja enake možnosti. Integracija orodij, ki jih poganja UI (kot so klepetalni roboti in virtualni pomočniki itd.) v HR procese, omogoča nemoteno komunikacijo in usmerja HR prakse k izboljšani učinkovitosti in strateškemu odločanju. Članek podaja tudi kratek pregled nekaterih programskih orodij, ki organizacijam služijo kot orodja za upravljanje HR z umetno inteligenco.
Pogled v prihodnost razkriva, da bodo orodja, kot so napovedna analitika, spremljanje blaginje zaposlenih ter povezovanje umetne inteligence (UI) z obogateno resničnostjo (AR) in navidezno resničnostjo (VR), opredeljena kot nekateri ključni razvojni aspekti prihodnosti.
V zaključku poudarjamo transformacijski sinergijski učinek med UI in HR, ki organizacijam in strokovnjakom za kadrovsko dejavnost omogoča, da sprejmejo inovacije in tako zagotavljajo boljše rezultate za vse deležnike: zaposlene, vodstvo, lastnike in širšo družbo.
Literatura
Albassam, W. (2023). The Power of Artificial Intelligence in Recruitment: An Analytical Review of Current AI-Based Recruitment Strategies. Retrieved from: https://www.researchgate.net/publication/371792898_The_Power_of_Artificial_Intelligence_in_Recruitment_An_Analytical_Review_of_Current_AI-Based_Recruitment_Strategies
Bankins, S. (2021). The ethical use of artificial intelligence in human resource management: a decision-making framework. Retrieved from: https://doi.org/10.1007/s10676-021-09619-6
Bersin, J. (2023). AI in HR: The New Frontier. Retrieved from: https://www.shrm.org/content/dam/en/shrm/executive-network/AI%20in%20HR-%20The%20New%20Frontier.pdf
Böhmer, N. and Schinnenburg, H. (2023). Critical exploration of AI-driven HRM to build up organizational capabilities. Employee Relations, Vol. 45 No. 5, 57-82.
Del Giudice, M., Scuotto, V. and Orlando, B. (2023). Toward the Human– centered approach: a revised model of individual acceptance of AI. Retrieved from: https://www.sciencedirect.com/journal/human-resource-management-review/vol/33/issue/1
Furinto, A. (2020). Artificial Intelligence for a Better Employee Engagement. Retrieved from: https://www.academia.edu/84090294/Artificial_Intelligence_for_a_Better_Employee_Engagement
Gryncewicz, W, Zygała, R. and Pilch, A. (2023). AI in HRM: case study analysis. Retrieved from: https://wir.ue.wroc.pl/docstore/download/@UEWR95522cd610224fb8bdd38a9f6f691625/Gryncewicz_Zygala_Pilch_AI_in_HRM_case_study.pdf
Harney, B. and Collings, D. G. (2024). Navigating the shifting landscapes of HRM. Retrieved from: https://www.researchgate.net/publication/349920639_Navigating_the_shifting_landscapes_of_HRM
Himani, S. and Preeti, T. (2022). Artificial Intelligence in Human Resource Practices With Challenges and Future Directions. Retrieved from: https://www.researchgate.net/publication/357484892_Artificial-Intelligence-in-Human-Resource-Practices-With-Challenges-and-Future-Directions
Hunkenschroer, L.A. (2022). Ethical Perspectives on the Use of Artificial Intelligence in Hiring. Retrieved from: https://mediatum.ub.tum.de/doc/1659502/1659502.pdf
Järvelä, J. and Groh, K. (2022). Your Definitive Guide to AI in Corporate Learning. Retrieved from: https://www.valamis.com/publications/wp-your-definitive-guide-to-ai-in-corporate-learning
Kambur, E., Akar, C. (2021). Human resource developments with the touch of artificial intelligence: a scale development study. Retrived from: https://www.researchgate.net/publication/356472828_Human_resource_developments_with_the_touch_of_artificial_intelligence_a_scale_development_study
Lande, C. (2023). SAP SuccessFactors Employee Central. Retrieved from: https://assets.cdn.sap.com/agreements/product-policy/css/service-specifications/sap-successfactors-employee-central-english-v2-2023.pdf
Leps, S. (2023). The business case for AI in HR. Retrieved from: https://www.ibm.com/downloads/cas/A5YLEPBR
Lundvall, H. (2022). Artificial Intelligence in Recruitment. Retrieved from: https://uu.diva-portal.org/smash/get/diva2:1695849/FULLTEXT01.pdf
Madanchian, M., Taherdoost, M., Nachaat, M. (2023). AI-Based Human Resource Management Tools and Techniques; A Systematic Literature Review. Procedia Computer Science. Volume 229/2023, 367-377.
Moderno, O., Braz, A. and Nascimento, P. (2023). Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view. Retrieved from: https://doi.org/10.1108/BPMJ-08-2022-0409
Oracle. (2023). Oracle Cloud HCM Solution Overview Brochure. Retrieved from: https://www.oracle.com/a/ocom/docs/oracle-hcm-cloud-overview.pdf
Palau, C. (2023). The future of HR and talent in the age of generative AI. Retrieved from: https://www.slideshare.net/christianp/the-future-of-hr-and-talent-in-the-age-of-generative-aipdf
Precedence Research. (2023). Generative AI in HR Market. Retrieved from: https://www.precedenceresearch.com/generative-ai-in-hr-market
Purdy, M. and Williams, A.M. (2023). How AI Can Help Leaders Make Better Decisions Under Pressure. Retrieved from: https://hbr.org/2023/10/how-ai-can-help-leaders-make-better-decisions-under-pressure
Riecken, H. (2022). AI in performance management: a game-changing development?. Retrieved from: https://essay.utwente.nl/91198/1/Riecken_BA_BMS.pdf
Scully, J., Crawshaw, J., Fullard, A., Gregson, M., Clegg, B., & Turner, P. (2020). Workforce (Artificial) Intelligence Planning. In Human Resource Management: Strategic and International Perspectives (pp. 170-197). SAGE.
World Economic Forum. (2021). Human-Centred Artificial Intelligence for Human Resources: A Toolkit for Human Resources Professionals. Retrieved from: https://www3.weforum.org/docs/WEF_Human_Centred_Artificial_Intelligence_for_Human_Resources_2021.pdf
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