Authors :
Manjima Mathur; Anshumali Pandey
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/bdz5pfw7
Scribd :
https://tinyurl.com/2s38c6m6
DOI :
https://doi.org/10.5281/zenodo.14603611
Abstract :
The development of Artificial Intelligence and
automation has done a lot of change to some sectors, and
the Human Resource Management sector is not an
exception. The following paper discusses how AI affects
various areas of human resource management, such as
staffing, employee handling, and decision making in the
organization (Arslan et al., 2021) (Kshetri, 2021) (Saxena,
2020). Evidence from previous literature indicates that
there are benefits of implementing AI in the HR
department for optimizing the use of processes/k
workforce experience and overall performance (Saxena,
2020)( Arslan et al., 2021). The variables expounded in the
paper include the identification of AI in the Indian context
of Human resource management that include; elimination
of Bias in recruiting, Personalized learning and
Development, and Data driven decision making. Further,
the paper provides the analyses of the opportunity and
risk of AI in HRM and the ethical issue such as job loss,
privacy, and transparency. Therefore, the results of this
paper can help HR professionals and organisations to
understand how and when to embed AI technologies in
their human resource management strategies for success.
Keywords :
AI, HRM, Automation, Business, Policies, Technologies, Learning, Development.
References :
- Vrontis, D.., Christofi, M.., Pereira, V.., Tarba, S.., Makrides, Anna., & Trichina, Eleni. (2021). Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. The International Journal of Human Resource Management , 33 , 1237 - 1266 . http://doi.org/10.1080/09585192.2020.1871398
- Okolo, Chinasa T.., Kamath, Srujana., Dell, Nicola., & Vashistha, Aditya. (2021). “It cannot do all of my work”: Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems . http://doi.org/10.1145/3411764.3445420
- Acemoglu, D.., & Restrepo, P.. (2018). Artificial Intelligence, Automation and Work. Alfred P. Sloan Foundation Economic Research Paper Series . http://doi.org/10.2139/ssrn.3098384
- Vermeulen, B.., Kesselhut, Jan., Pyka, A.., & Saviotti, P.. (2018). The impact of automation on employment: just the usual structural change?. Sustainability , 10 , 1661-1688 . http://doi.org/10.3390/SU10051661
- Malik, A.., Budhwar, P.., Patel, Charmi., & Srikanth, N. R.. (2020). May the bots be with you! Delivering HR cost-effectiveness and individualised employee experiences in an MNE. The International Journal of Human Resource Management , 33 , 1148 - 1178 . http://doi.org/10.1080/09585192.2020.1859582
- Wang, Weiyu., & Siau, K.. (2019). Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity: A Review and Research Agenda. J. Database Manag. , 30 , 61-79 . http://doi.org/10.4018/JDM.2019010104
- Noy, Shakked., & Zhang, Whitney. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science , 381 , 187 - 192 . http://doi.org/10.1126/science.adh2586
- Dratsch, Thomas., Chen, Xue., Mehrizi, M. R. Rezazade., Kloeckner, Roman., Mähringer-Kunz, A.., Püsken, M.., Baessler, B.., Sauer, S.., Maintz, D.., & Santos, D. Pinto dos. (2023). Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance.. Radiology , 222176 . http://doi.org/10.1148/radiol.222176
- Cooke, F.., & Saini, Debi S.. (2010). Diversity management in India: A study of organizations in different ownership forms and industrial sectors. Human Resource Management , 49 , 477-500 . http://doi.org/10.1002/HRM.20360
- Budhwar, P.., Malik, A.., Thedushika, M. T.., Silva, De., & Thevisuthan, Praveena. (2022). Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda. The International Journal of Human Resource Management , 33 , 1065 - 1097 . http://doi.org/10.1080/09585192.2022.2035161
- Wamba-Taguimdje, Serge-Lopez., Wamba, S.., Kamdjoug, Jean Robert Kala., & Wanko, C.. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Bus. Process. Manag. J. , 26 , 1893-1924 . http://doi.org/10.1108/bpmj-10-2019-0411
- Malik, Parul., & Garg, P.. (2020). Learning organization and work engagement: the mediating role of employee resilience. The International Journal of Human Resource Management , 31 , 1071 - 1094 . http://doi.org/10.1080/09585192.2017.1396549
- Alon-Barkat, Saar., & Busuioc, M.. (2021). Human-AI Interactions in Public Sector Decision-Making:"Automation Bias"and"Selective Adherence"to Algorithmic Advice. . http://doi.org/10.1093/jopart/muac007
- Trivedi, S., Nallakaruppan, M. K., Balusamy, B., & Sivakumar, N. R. (2024). Artificial Intelligence and Actuarial Science: Applications and Case Studies from Finance and Insurance. CRC Press.
- Madanchian, M. (2024). From Recruitment to Retention: AI Tools for Human Resource Decision-Making. Applied Sciences, 14(24), 11750. https://doi.org/10.3390/app142411750
- Unni, M. V., S, R., Kar, R., Bh, R., V, V., & Johnson, J. M. (2023). Effect of VR technological Development in the age of AI on Business human resource Management (pp. 999–1004). https://doi.org/10.1109/icears56392.2023.10085258
The development of Artificial Intelligence and
automation has done a lot of change to some sectors, and
the Human Resource Management sector is not an
exception. The following paper discusses how AI affects
various areas of human resource management, such as
staffing, employee handling, and decision making in the
organization (Arslan et al., 2021) (Kshetri, 2021) (Saxena,
2020). Evidence from previous literature indicates that
there are benefits of implementing AI in the HR
department for optimizing the use of processes/k
workforce experience and overall performance (Saxena,
2020)( Arslan et al., 2021). The variables expounded in the
paper include the identification of AI in the Indian context
of Human resource management that include; elimination
of Bias in recruiting, Personalized learning and
Development, and Data driven decision making. Further,
the paper provides the analyses of the opportunity and
risk of AI in HRM and the ethical issue such as job loss,
privacy, and transparency. Therefore, the results of this
paper can help HR professionals and organisations to
understand how and when to embed AI technologies in
their human resource management strategies for success.
Keywords :
AI, HRM, Automation, Business, Policies, Technologies, Learning, Development.