Revisiting Artificial Intelligence in HRM
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Abstract
The study aims to provide a descriptive understanding about the adoption of artificial intelligence in HRM by the business organizations in the contemporary business environment. Literature review has been adopted as a research tool in the study. All sources of literature were searched and reviewed. The literature review has revealed that the corporate sector is rarely utilizing AI in the overall management of human resources. Even many companies were found to be not showing readiness behavior towards robotic process animated techniques because of its complex nature. However, literature review based on systematic literature review/bibliometric literature review/meta-analysis is suggested to increase the thoroughness of the review process in future researches to facilitate the generalisation of the results. Another limitation of the study is that no empirical evidence has been collected. The study has Industry Implications as through AI, businesses can enable computers/machines to act as robotic assistant tools to perform functions that are generally implemented by human cognition. In the age of technologies, artificial intelligence (AI) serves as a real breakthrough for human resource development as it assists the present stressful corporate world by replacing human intelligence into machine intelligence. The study highlighted the theoretical significance of Artificial Intelligence in the field of Human Resource Management. Along with that, the study concludes that businesses should try to adopt AI more in the management of its human resources in order to remain competitive in the present and future world of work. But, at the same time, it will not replace emotional intelligence significantly required for human resources management.
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References
- •A.I. Al-Alawi, M. Naureen, E. I. AlAlawi and A. A. Naser Al-Hadad. (2021). The Role of Artificial Intelligence in Recruitment Process Decision-Making, International Conference on Decision Aid Sciences and Application (DASA), 197-203. https://doi:10.1109/DASA53625.2021.9682320. DOI: https://doi.org/10.1109/DASA53625.2021.9682320
- •Amdurer, E, Boyatzis, R. E., Saatcioglu, A., Smith, M. L., & Taylor, S. N. (2014). Long term impact of emotional, social and cognitive intelligence competencies and GMAT on career and life satisfaction and career success. Frontiers in Psychology, 5(1447). https://doi:10.3389/fpsyg.2014.01447. DOI: https://doi.org/10.3389/fpsyg.2014.01447
- •Arslan,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, 1-15. https://doi:10.1108/IJM-01-2021-0052. DOI: https://doi.org/10.1108/IJM-01-2021-0052
- •Bhardwaj,G, Singh,V, Kumar,V.(2020). An empirical study of artificial intelligence and its impact on human resource function. International Conference on computational, automation and knowledge management, 47-51. https://doi:10.1109/ICCAKM46823.2020.9051544 DOI: https://doi.org/10.1109/ICCAKM46823.2020.9051544
- •Budhwar, P, Malik, A, Thedushika, D, S & Thevisuthan, P. (2022) Artificial intelligence - challenges and opportunities for international HRM: a review and research agend The International Journal of Human Resource Management, 33(6), 1065-1097. https://doi:10.1080/09585192.2022.2035161 DOI: https://doi.org/10.1080/09585192.2022.2035161
- •Buhalis, D, & Leung, R. (2018). Smart hospitality-Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 71, 41–50. http://doi:10.1016/j.ijhm.2017.11.011 DOI: https://doi.org/10.1016/j.ijhm.2017.11.011
- •Fossen F. and Sorgner A. (2019) Mapping the Future of Occupations: Transformative and Destructive Effects of New Digital Technologies on Jobs. Foresight and STI Governance, 13(2), 10–18. https://doi:10.17323/2500-2597.2019.2.10.18. DOI: https://doi.org/10.17323/2500-2597.2019.2.10.18
- •George,G, Thomas,M.(2019). Integration of artificial intelligence in human resource management. International journal of innovative technology and exploring engineering (IJITEE), 9(2), 5069-5073. https://doi:10.35940/ijitee.L3364.129219. DOI: https://doi.org/10.35940/ijitee.L3364.129219
- •Hanenlein, M and Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present and Future of Artificial Intelligence, California Management Review, 61(4), 1-10. https://doi.org//10.1177/0008125619864925 DOI: https://doi.org/10.1177/0008125619864925
- •Hashmi,A, Baig,M.(2020). Impact of artificial intelligence on HR management- A review. Dogo Rangsang research journal, 10(6), 92-101.
- •Johansson,J, Herranen,S.(2019). The application of Artificial Intelligence (AI) in Human Resource Management: Current state of AI and its impact on the traditional recruitment process. (Thesis, Jonkoping University).
- •Kafetsios, K., & Zampetakis, L. A. (2008). Emotional intelligence and job satisfaction: Testing the mediatory role of positive and negative affect at work. Personality and Individual Differences, 44(3), 712-722. https://doi:10.1016/j.paid.2007.10.004. DOI: https://doi.org/10.1016/j.paid.2007.10.004
- •Kim, S. Y. (2011). Prediction of hotel bankruptcy using support vector machine, artificial neural network, logistic regression, and multivariate discriminant analysis. The Service Industries Journal, 31(3), 441–468. https://doi:10.1080/02642060802712848. DOI: https://doi.org/10.1080/02642060802712848
- •Kshetri,N.(2020). Artificial intelligence in human resource management in the global south. Organization transformation & information system (SIGORSA), 1-10. https://aisel.aisnet.org/amcis2020.
- •Lima, D, Spahi, J, Shala, V (2022). The Management of Emotional Intelligence in the Workplace Impact on Improving Employee Performance. General Management, 23(188), 297-301. https://doi:10.47750/Qas/23.188.40. DOI: https://doi.org/10.47750/Qas/23.188.40
- •Murgai, A. (2018). Role of Artificial Intelligence in Transforming Human Resource Management.International Journal of Trend in Scientific Research and Development (IJTSRD), 2(3), 877-881. https://www.ijtsrd.com/paper/ijtsrd11127. DOI: https://doi.org/10.31142/ijtsrd11127
- •Oncioiu, I., Anton, E.; Ifrim, A.M.; Mândricel. D.A. (2022). The Influence of Social Networks on the Digital Recruitment of Human Resources: An Empirical Study in the Tourism Sector. Sustainability. 2-14, 3693. https://doi.org/10.3390/su14063693. DOI: https://doi.org/10.3390/su14063693
- •Prentice,C, Dominique, S, Wang, X. (2019): Emotional intelligence or artificial intelligene-an employee perspective, Journal of Hospitality Marketing & Management, https://doi: 10.1080/19368623.2019.1647124.Russell, Stuart. J., & Norvig, P. (2016). Artificial intelligence: A modern approach. Malaysia: Pearson Education Limited. https://www.stiinnsbruck.at/sites/default/files/Knowledge-Representation-Searchand Rules /Russel-& DOI: https://doi.org/10.1080/19368623.2019.1647124
- •Shangyu Li, Don, A, S, S and Sean, S Q (2020). Application of artificial intelligence in human resource management: An exploratory study of the Chinese civil aviation i n d u s t r y, European Association for Aviation Psychology. 107-120.
- •Soban, M. (2017). 21st Century Staffing: The wave of artificial intelligence in recruitment. Talent Acquisition Excellence Essentials, 5(11). Retrieved from https://www.hr.com/en/magazines/talent_acquisition/november_2017_talent_acqu isitio n/21st-century-staffing-the-wave-of-artificial-intel_ja43p2rh.html
- •Samarasinghe, K, Medis,A. (2020). Artificial intelligence based strategic human resource management (AISHRM) for industry 4.0. Global journal of management and business research, 20(2), 7-13. https://journalofbusiness.org/index.php/GJMBR/article/view/3059. DOI: https://doi.org/10.34257/GJMBRGVOl20IS2PG7
- •Schneider, K (2017). Artificial Intelligence And The Future of WORK Redefining how people will work with technology, International Civil Aviation Organization (ICAO),3, 14-16.
- •Singh, A., Shaurya, A. Impact of Artificial Intelligence on HR practices in the UAE. Humanit Soc Sci Commun 8, 312 (2021). https://doi.org/10.1057/s41599-021-00995-4. DOI: https://doi.org/10.1057/s41599-021-00995-4
- •Stone,D, Deadrick,D.(2015). Challenges and opportunities affecting the future of human resource management. Human Resource Management Review, 25(2015), 139-145. https://doi.org/10.1016/j.hrmr.2015.01.003. DOI: https://doi.org/10.1016/j.hrmr.2015.01.003
- •Vrontis,D, Christofi,M, Pereira,V, Tarba,S, Makrides,A, Trichina,E.(2021). Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. The international journal of human resource management, 1-30. https://doi.org/10.1080/09585192.1871398. DOI: https://doi.org/10.1080/09585192.2020.1871398
- •Yawalkar,V.(2019). A study of artificial and its role in human resource management. International Journal of Research and Analytical Reviews, 6(1), 20-24. DOI: https://doi.org/10.33545/26633213.2019.v1.i1a.5
- •Yu, G., & Schwartz, Z. (2006). Forecasting short time-series tourism demand with artificial intelligence models. Journal of Travel Research, 45(2), 194–203. https://doi:10.1177/0047287506291594. DOI: https://doi.org/10.1177/0047287506291594