Abstract
Artificial Intelligence (AI) field of research started in the 1950s, for the purpose of understanding the nature in human intelligence (Jatobá et al. 2019). Artificial Intelligence accuracy and efficiency highly overreach the traditional management ability, AI highly beats human capabilities in accuracy and in processing data and storage, as human judgments in some cases are inaccurate and part from real situation; AI judgments are accurate and will help employees in making the right decisions and ongoing advancements can be reached (Wang and Li 2019). Human resource management (HRM) strategy is integrated with the organizations business strategy, HRM represents the organizations’ high level of decision making, HRM strategy focuses on employment policies and practices which consists of recruitment, selection, evaluation, development and retention of employees, and consultation and negotiation with individuals. Artificial intelligence is extremely important to be integrated in human resource management functions to support and run human resources functions efficiently (Jatobá et al. 2019). The research method will be systematic review aiming to find out the impact of artificial intelligence on enhancing human resource management functionality. It has been found that integrating artificial intelligence to the complex and various human resources tasks will reduce the large amount of time and efforts spent on performing those tasks, leading to efficiency and quality gains for the HRM functions (Arena et al. 2018).
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References
Abdeldayem, M.M., Aldulaimi, S.H.: Trends and opportunities of artificial intelligence in human resource management: aspirations for public sector in Bahrain. Int. J. Sci. Technol. Res. 9(1), 3867–3871 (2020)
Berhil, S., Benlahmar, H., Labani, N.: A review paper on artificial intelligence at the service of human resources management. Indones. J. Electr. Eng. Comput. Sci. 18(1), 32–40 (2020)
Verma, R., Bandi, S.: Artificial Intelligence and Human Resource Management in Indian IT Sector. SSRN-Elsevier, pp. 962–967 (2019).
Ahammad, T.: Personnel management to human resource management (HRM): how HRM functions? J. Mod. Account. Audit. 13(9), 412–420 (2017)
Arena, D., et al.: Human resource optimisation through semantically enriched data. Int. J. Prod. Res. 56(8), 2855–2877 (2018)
Bolton, C., Machová, V., Kovacova, M., Valaskova, K.: The power of human–machine collaboration: artificial intelligence, business automation, and the smart economy. Econ. Manage. Financ. Markets 13(4), 51–56 (2018)
Brock, J.K.-U., Wangenheim, F.V.: Demystifying AI: what digital transformation leaders can teach you about realistic artificial intelligence. Calif. Manage. Rev. 61(4), 110–134 (2019)
Buzko, I., Dyachenko, Y., Petrova, M., Nenkov, N., Tuleninova, D., Koeva, K.: Artificial intelligence technologies in human resource development. Comput. Model. New Technol. 20(2), 26–29 (2016)
Farndale, E., et al.: Context-bound configurations of corporate HR functions in multinational corporations. Hum. Resour. Manage. 49(1), 45–66 (2010)
Haenlein, M., Kaplan, A.: A brief history of artificial intelligence: on the past, present, and future of artificial intelligence. Calif. Manage. Rev. 61(4), 5–14 (2019)
Huang, M.-H., Rust, R.T.: Artificial intelligence in service. J. Serv. Res. 21(2), 155–172 (2018)
Jatobá, M., Santos, J., Gutierriz, I., Moscon, D., Fernandes, P.O., Teixeira, J.P.: Evolution of artificial intelligence research in human resources. Procedia Comput. Sci. 164, 137–142 (2019). https://doi.org/10.1016/j.procs.2019.12.165
Lloyd, C., Payne, J.: Rethinking country effects: robotics, AI and work futures in Norway and the UK. New Technol. Work Employ. 208–225 (2019)
Martens, B., Tolan, S.: Will this time be different? A review of the literature on the impact of artificial intelligence on employment, incomes and growth. JRC Tech. Rep. 1–24 (2018)
Nobuaki, H., Keisuke, K.: Regional employment and artificial intelligence in Japan. Res. Inst. Econ. Trade Ind. 1–47 (2018)
Ramona, T., Anca, Ş.: Human Resource Management – From Function to Strategic Partner. Faculty of Economics, “Lucian Blaga” University of Sibiu, Romania, pp. 631–638 (2013)
Tambe, P., Cappelli, P., Yakubovich, V.: Artificial intelligence in human resources management: challenges and a path forward. Calif. Manage. Rev. 61, 15–42 (2019)
Upchurch, M.: Robots and AI at work: the prospects for singularity. New Technol. Work Employ. 205–218 (2018)
Wang, H., Li, H.: Research on theoretical analysis of human capital of labor economics based on artificial intelligence. J. Intell. Fuzzy Syst. 37(3), 3257–3265 (2019)
Weber, R.M.: Hey, Siri! Is artificial intelligence the ultimate oxymoron? J. Financ. Serv. Profession. 73(4), 46–50 (2019)
Zysman, J., Kenney, M.: The next phase in the digital revolution: intelligent tools, platforms, growth, employment. Commun. ACM 61(2), 54–63 (2018)
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Al-Jawder, M., Hamdan, A., Roboey, A. (2023). The Impact of Artificial Intelligence on Enhancing Human Resource Management Functionality. In: Alareeni, B., Hamdan, A., Khamis, R., Khoury, R.E. (eds) Digitalisation: Opportunities and Challenges for Business. ICBT 2022. Lecture Notes in Networks and Systems, vol 620. Springer, Cham. https://doi.org/10.1007/978-3-031-26953-0_46
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