Impact of Artificial Intelligence (AI) on Human Resource Management (HRM): A Cross Organizational Analysis

Berechah Myrchiang¹

Section:Review Paper, Product Type: Journal-Paper
Vol.11 , Issue.2 , pp.25-32, Jun-2023

Online published on Jun 30, 2023

Copyright © Berechah Myrchiang . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
the study aims to emphasize the significance and requirements of artificial intelligence (AI) as a fundamental element for the effectiveness and efficient functioning of organizations. Human resource management (HRM), known for its dynamic and labor-intensive role in management, has embraced the utilization of AI to enhance efficiency and optimization in their operations. To comprehensively explore this subject, a wide range of case studies have been examined. The study relies on secondary data and employs a descriptive approach to align with the study`s objectives and importance. Within HR activities, AI finds notable applications in Natural Language Processing (NLP) and robotics. Moreover, this research highlights how AI can alleviate the burdensome tasks associated with recruitment, training and development, and employee support, thus contributing to the organization`s mission. Consequently, it can be inferred from this study that AI not only reduces human effort but also complements employee competence, thereby becoming a valuable asset for the organization.

Key-Words / Index Term :
Artificial Intelligence, Competence, Human Resource Management, & Robotics

References :
[1]. C. Manning, “Artificial Intelligence Definitions”, Artificial Inteligence, University of Standford, p.1, 2020.
[2]. D. Khurana, A. Koli, K. Khatter & S. Singh, “Natural language processing: state of the art, current trends and challenges”, Multimedia Tools and Applications, Volume 82, pp. 3713-3744, 2023.
[3]. Iqbal H. Sarker, “AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems”, SN Computer Science, Volume 3, pp. 4-20, 2022.
[4]. P. Muryjas & M. Wawer, “Business Intelligence as a support in Human Resources strategies realization in contemporary organizations”, Actual Problems of Economics, Volume 2, pp.183-190. 2014.
[5]. C. Dirican, “The Impacts of Robotics, Artificial Intelligence On Business and Economics”, World Conference on Technology, Innovation and Entrepreneurship, Procedia - Social and Behavioral Sciences, Volume 195, pp. 564-573, 2015.
[6]. A. Trunk, H. Birkel & E. Hartmann, “On the current state of combining human and artificial intelligence for strategic organizational decision making”, Business Research, Volume 13, pp. 875–919 , 2020.
[7]. S. Choubey & B. Zohuri, “Merits and Demerits of AI in HR”, Management Studies, Volume 9, No. 5, 412-415, 2021.
[8]. A. Thakur, P. Hinge, & V. Adhegaonkar, “Use of Artificial Intelligence (AI) in Recruitment and Selection”, Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics, pp.632-640, 2022.
[9]. D. Cropley, K. Medeiros, & A. Damadzic, "The Intersection of Human and Artificial Creativity”, Creative Provocations: Speculation on the Future of Creativity, Technology, and Learning, pp. 1-17, 2021.
[10]. V. Mokaya, “Future of Precision Agriculture in India using Machine learning and Artificial Intelligence”, International Journal of Computer Sciences and Engineering, Volume 7, Issue-3, pp. 422-325, 2019.
[11]. B. Asaad, “The Importance of Using Artificial Intelligence Models in Economic Forecasting During a Crisis Period (Using the NARX model to predict demand for hospital health services)”, World Academics Journal of Management, Volume 8, Issue.3, pp.38-47, 2020.