Artificial Intelligence in Personnel Management: Opportunities and Challenges to the Higher Education Sector (HES)

Conference paper


Chang, K., Abdalla, Y. A. and Lasyoud, A. A. 2021. Artificial Intelligence in Personnel Management: Opportunities and Challenges to the Higher Education Sector (HES). 2021 European, Asian, Middle Eastern, North African Conference on Management & Information Systems (EAMMIS). Istanbul, Turkey 19 - 20 Mar 2021 Springer, Cham. https://doi.org/10.1007/978-3-030-77246-8_27
AuthorsChang, K., Abdalla, Y. A. and Lasyoud, A. A.
TypeConference paper
Abstract

Drawing on multi-disciplinary literature, this conceptual article provides an integrative review of AI’s applicability in personnel management. Prior studies indicate that AI has the ability to change the ownership and responsibility for managerial decision making, information accumulation and strategic management. Following this line of research, we review the literature of AI and discuss its application in personnel management, particularly from the context of Higher Education Sector (HES). We draw insights from three theoretical perspectives (job replacement, psychological contract and demands-resources), aiming to understand the influence of AI-driven management on the organizations, managers and employees. Specifically, two questions are proposed and critically discussed. First, what might be the opportunities and challenges of AI-driven management? Second, how AI-driven policies could be implemented to the personnel management? Based on the analysis of theoretical perspectives and empirical research findings, we have learnt that managers’ attitude is crucial to the implementation of AI in personnel management, leading to different organizational outcomes. If not handled well, AI-driven management may cause job insecurity and dissatisfaction to the employees. Research findings has brought new insights into the AI-management literature and clarified AI’s applicability in HES. Implications for future studies are discussed.

Year2021
Conference2021 European, Asian, Middle Eastern, North African Conference on Management & Information Systems (EAMMIS)
PublisherSpringer, Cham
Publication dates
Online28 May 2021
Print29 May 2021
Publication process dates
Deposited07 Jun 2023
Journal citationpp. 278-289
ISSN2367-3370
Book titleArtificial Intelligence Systems and the Internet of Things in the Digital Era: Proceedings of EAMMIS 2021
Book editorMusleh Al-Sartawi, A. M. A.
Razzaque, A.
Kamal, M. M.
ISBN9783030772451
9783030772468
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-77246-8_27
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-3-030-77246-8
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