The Impact of Artificial Intelligence on Digital Transformation in Human Resource Management: A Study of Educational Institutions
DOI:
https://doi.org/10.53983/ijmds.v14n1.003Keywords:
Artificial Intelligence, Human Resource Management, Digital Transformation, Educational Institutions, Workforce Management, AI Adoption, Ethical Considerations, Technological ReadinessAbstract
Artificial Intelligence (AI) has rapidly become a catalyst for digital transformation, fundamentally altering human resource management (HRM) practices across various industries. This study explores the integration of AI within HRM in educational institutions, aiming to assess the benefits, challenges, and strategic implications of AI adoption. Through an analysis of AI's potential to enhance workforce efficiency, decision-making, and management, the research identifies critical barriers such as ethical concerns, financial constraints, and technological readiness. By addressing these factors, the study provides insights into effectively leveraging AI for optimized HRM practices, contributing to a nuanced understanding of AI's role in modernizing educational administration.
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F. Qomi and H. Ebrahimi, “Identifying the Indicators of Artificial Intelligence in the Development of Human Resources,” Kurd. Stud., vol. 11, no. 2, pp. 4581–4598, 2023, doi: 10.58262/ks.v11i2.335.
H.-Y. Suen and K.-E. Hung, “Revealing the influence of AI and its interfaces on job candidates’ honest and deceptive impression management in asynchronous video interviews,” Technol. Forecast. Soc. Change, vol. 198, 2024, doi: 10.1016/j.techfore.2023.123011.
P. Thakral, P. R. Srivastava, S. S. Dash, S. M. Jasimuddin, and Z. Zhang, “Trends in the thematic landscape of HR analytics research: a structural topic modeling approach,” Manage. Decis., vol. 61, no. 12, pp. 3665–3690, 2023, doi: 10.1108/MD-01-2023-0080.
S. Basu, B. Majumdar, K. Mukherjee, S. Munjal, and C. Palaksha, “Artificial Intelligence–HRM Interactions and Outcomes: A Systematic Review and Causal Configurational Explanation,” Hum. Resour. Manage. Rev., vol. 33, no. 1, 2023, doi: 10.1016/j.hrmr.2022.100893.
S. Gomathi, A. Sabale, and N. Chilamkurti, “The impact of implementing artificial intelligence in human resource management: A theoretical and conceptual framework,” in Disruptive Artif. Intell. and Sustain. Hum. Resour. Manag.: Impacts and Innov. - The Future of HR, River Publishers, 2023, pp. 139–154. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168644543&partnerID=40&md5=3d8f19dfac70aa3a09dcf60b523b6e81
S. Ghosh, S. Majumder, and S. K. Das, Artificial intelligence techniques in human resource management. in Artificial Intelligence Techniques in Human Resource Management. Apple Academic Press, 2023, p. 280. doi: 10.1201/9781003328346.
Singh and T. Chouhan, “Artificial Intelligence in HRM: Role of Emotional–Social Intelligence and Future Work Skill,” in The Adoption and Effect of Artificial Intelligence on Hum. Resources Management, Part A, Emerald Publishing, 2023, pp. 175–196. doi: 10.1108/978-1-80382-027-920231009.
L. M. Mohapatra, A. V. S. Kamesh, and J. Roul, “Challenges and Path Ahead for Artificial Intelligence-aided Human Resource Management,” in The Adoption and Effect of Artificial Intelligence on Hum. Resources Management, Part A, Emerald Publishing, 2023, pp. 107–121. doi: 10.1108/978-1-80382-027-920231006.
V. R. Venumuddala and R. Kamath, “Work Systems in the Indian Information Technology (IT) Industry Delivering Artificial Intelligence (AI) Solutions and the Challenges of Work from Home,” Inf. Syst. Front., vol. 25, no. 4, pp. 1375–1399, 2023, doi: 10.1007/s10796-022-10259-4.
V. Prikshat, A. Malik, and P. Budhwar, “AI-augmented HRM: Antecedents, assimilation and multilevel consequences,” Hum. Resour. Manage. Rev., vol. 33, no. 1, 2023, doi: 10.1016/j.hrmr.2021.100860.
C. Rani and T. Kajla, “Artificial intelligence applications in human resource management: A bibliometric content analysis and future research agenda,” in AI and Emot. Intell. for Mod. Bus. Manag., IGI Global, 2023, pp. 178–193. doi: 10.4018/979-8-3693-0418-1.ch012.
P. V. Yadav, U. S. Kollimath, S. A. Giramkar, D. T. Pisal, S. S. Badave, and S. M. Swamy, “Impact of Artificial Intelligence (AI) on Various Aspects of Human Resources Management (HRM) in India,” in Int. Conf. Emerg. Smart Technol. Appl., eSmarTA, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/eSmarTA59349.2023.10293625.
D. Hiran, H. Kothari, and S. Singh, “Impact of Artificial Intelligence on Human Resource Management Practices in Private Organizations of India,” in Lect. Notes Networks Syst., Tuba M., Akashe S., and Joshi A., Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 149–164. doi: 10.1007/978-981-99-5652-4_16.
N. Kaushal, R. P. S. Kaurav, B. Sivathanu, and N. Kaushik, “Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis,” Manag. Rev. Q., vol. 73, no. 2, pp. 455–493, 2023, doi: 10.1007/s11301-021-00249-2.
N. Nenkov, G. Dimitrov, Y. Y. Dyachenko, and K. Koeva, “Artificial intelligence technologies for personnel learning management systems,” presented at the 2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 - Proceedings, 2016, pp. 189–194. doi: 10.1109/IS.2016.7737420.
M. P. Michailidis, “The challenges of AI and blockchain on HR recruiting practices,” Cyprus Review, vol. 30, no. 2, pp. 169–180, 2018, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064335397&partnerID=40&md5=06bab36b7856bc6f02318475544520ec
D. Vrontis, M. Christofi, V. Pereira, S. Tarba, A. Makrides, and E. Trichina, “Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review,” International Journal of Human Resource Management, vol. 33, no. 6, pp. 1237–1266, 2022, doi: 10.1080/09585192.2020.1871398.
F. Strich, A.-S. Mayer, and M. Fiedler, “What do i do in a world of artificial intelligence? Investigating the impact of substitutive decision-making ai systems on employees’ professional role identity,” Journal of the Association for Information Systems, vol. 22, no. 2, pp. 304–324, 2021, doi: 10.17705/1jais.00663.
S. Majumder and A. Mondal, “Are chatbots really useful for human resource management?,” International Journal of Speech Technology, vol. 24, no. 4, pp. 969–977, 2021, doi: 10.1007/s10772-021-09834-y.
P. Budhwar, A. Malik, M. T. T. De Silva, and P. Thevisuthan, “Artificial intelligence–challenges and opportunities for international HRM: a review and research agenda,” International Journal of Human Resource Management, vol. 33, no. 6, pp. 1065–1097, 2022, doi: 10.1080/09585192.2022.2035161.
V. Pereira, E. Hadjielias, M. Christofi, and D. Vrontis, “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, 2023, doi: 10.1016/j.hrmr.2021.100857.
J. Malinowski, T. Weitzel, and T. Keim, “Decision support for team staffing: An automated relational recommendation approach,” Decision Support Systems, vol. 45, no. 3, pp. 429–447, 2008, doi: 10.1016/j.dss.2007.05.005.
Charlwood and N. Guenole, “Can HR adapt to the paradoxes of artificial intelligence?,” Human Resource Management Journal, vol. 32, no. 4, pp. 729–742, 2022, doi: 10.1111/1748-8583.12433.
P. Budhwar et al., “Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT,” Human Resource Management Journal, vol. 33, no. 3, pp. 606–659, 2023, doi: 10.1111/1748-8583.12524.
R. Pillai and B. Sivathanu, “Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations,” Benchmarking, vol. 27, no. 9, pp. 2599–2629, 2020, doi: 10.1108/BIJ-04-2020-0186.
Arslan, C. Cooper, Z. Khan, I. Golgeci, and I. Ali, “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. 75–88, 2022, doi: 10.1108/IJM-01-2021-0052.
S. D. Khaled, D. K. Sharma, T. Yashwanth, V. M. K. Reddy, R. I. doewes, and M. Naved, “Evaluating the Role of Robotics, Machine Learning and Artificial Intelligence in the Field of Performance Management,” presented at the Smart Innovation, Systems and Technologies, 2023, pp. 285–293. doi: 10.1007/978-981-19-0108-9_30.
De Mauro, M. Greco, M. Grimaldi, and P. Ritala, “Human resources for Big Data professions: A systematic classification of job roles and required skill sets,” Information Processing and Management, vol. 54, no. 5, pp. 807–817, 2018, doi: 10.1016/j.ipm.2017.05.004.
R. D. Johnson, D. L. Stone, and K. M. Lukaszewski, “The benefits of eHRM and AI for talent acquisition,” Journal of Tourism Futures, vol. 7, no. 1, pp. 40–52, 2020, doi: 10.1108/JTF-02-2020-0013.
T. Bekiş and A. Asiltürk, “The effects of artificial intelligence technologies’ utilization in human resources management on employee behavior,” in Organ. Behav. in the Digit. World, Nova Science Publishers, Inc., 2023, pp. 251–270. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179559822&partnerID=40&md5=e5b3371c25a03390fde0e04f8d7b6f8e
U. Murugesan, P. Subramanian, S. Srivastava, and A. Dwivedi, “A study of Artificial Intelligence impacts on Human Resource Digitalization in Industry 4.0,” Decis. Anal. J., vol. 7, 2023, doi: 10.1016/j.dajour.2023.100249.
