A Study on Leveraging Artificial Intelligence in Educational Institutions: Enhancing Human Resource Management Practices
DOI:
https://doi.org/10.48001/978-81-966500-8-7-8Keywords:
Educational institution, Artificial Intelligence (AI), Human resource managementAbstract
The way that technology is transforming enterprises around the globe enables the incorporation of educational institutions into HRM practices an essential field of research. The ramifications, difficulties, and opportunities related to the integration of educational institutions into HRM are explored in this abstract.
Artificial intelligence (AI) offers a plethora of resources and algorithms that have the ability to significantly transform HR procedures, such as talent management, performance reviews, hiring, and employee engagement. AI-powered automated screening techniques increase the effectiveness of candidate selection, leading to a more bias-free and productive hiring process. Insightful data on employee performance parameters is another benefit of AI-driven analytics, which supports information-driven strategies for talent development and retention.Despite these obstacles, educational institutions offer an abundance of prospective advantages in HRM. By automating routine tasks and applying predictive analytics, HR managers can devote greater attention to strategic projects and employee development. This would eventually result in a workforce that is more adaptable and resilient . Moreover, AI-driven insights empower HR departments to promptly adapt to evolving organizational requirements, fostering a culture of innovation and ongoing improvement.
Downloads
References
Amla, Majnu ; Malhotra, Meenakshi. (2017). Digital Transformation in HR. (July).
Buzko, I., Dyachenko, Y., Petrova, M., Nenkov, N., Tuleninova, D., & Koeva, K. (2016). Artificial Intelligence technologies in human resource development. Computer Modelling New Technologies, 20(2), 26–29. https://www.researchgate.net/ profile / Yuriy_Dyachenko/publication/308031679_Artificial_Intelligence_technologies_in_human_resource_development/links/57d7abcb08ae601b39ac3808/Artificial-Intelligence-technologies-in-human-resource-development.pdf
Cüneyt Dirican. (2015). The Impacts of Robotics, Artificial Intelligence On Business and Economics. Procedia- Social and Behavioral Sciences, 195, 564–573.
Duchessi, P., O’Keefe, R., & O’Leary, D. (1993). A Research Perspective: Artificial Intelligence, Management and Organizations. Intelligent Systems in Accounting, Finance and Management, 2(3), 151–159. https://doi.org/10.1002/j.10991174.1993.tb00039.x
Gonda, M. G. (2014). Role of Educational Institutions in Shaping the Future of Business and Society. Procedia Economics and Finance, 11, 635–641. https://doi.org/10.1016/s2212-5671(14)00229-9
H., J. M. (2018). Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons, 61, 577.
Kapoor, S. (2010). AI and business intelligence in aviation management: A review. International Journal of Aviation Management, 5(1), 18–29.
Mon, B. F., Wasfi, A., Hayajneh, M., & Slim, A. (2023). A Study on Role of Artificial Intelligence in Education. Proceedings- 2023 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2023, 133–138. https://doi.org/10.1109/iCCECE59400.2023.10238613
Palos-Sánchez, P. R., Baena-Luna, P., Badicu, A., & Infante-Moro, J. C. (2022). Artificial Intelligence and Human Resources Management: A Bibliometric Analysis. Applied Artificial Intelligence, 36(1). https://doi.org/10.1080/08839514.2022.2145631
R, G., & Bhanu Sree, R. D. (2018). Recruitment through Artificial Intelligence: A Conceptual Study. International Journal of Mechanical Engineering and Technology, 9(7), 63–70. http://www.iaeme.com/ijmet/issues.aspJType=IJMET&VType=9&IType=7http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=9&IType=7http://www.iaeme.com/IJMET/index.asp64
Wahdaniah, Sucianti, R., Ambalele, E., & Tellu, A. H. (2023). Human Resource Management Transformation in the Digital Age: Recent Trends and Implications. International Journal of Applied Research and Sustainable Sciences, 1(3), 239–258. https://doi.org/10.59890/ijarss.v1i3.902