Mapping the Impact of AI on Contemporary HRM Practices: A Review
TL;DR
An organized review of the positive aspects of AI usage and issues of applying AI in HRM and contributes to the increasing body of HR analytics literature by highlighting research gaps and synthesising previous works and also adds to the practical agenda by showcasing significant use of AIbased HRM in various functions and the related challenges faced in its implementation.
Abstract
This research analyzes the utilization of artificial intelligence (AI) in human resource management (HRM) through a comprehensive assessment of existing literature to elucidate its applications, benefits, and obstacles. This paper explores the application of AI in HR operations using three research questions (RQ), evaluates the results reported in the literature along with the contributions of the past studies, and the main challenges faced in the implementation process. Outcomes reflect that AI can enhance effectiveness, decision-making, and coherence in recruiting workforce, performance management, and employee analytics. However, the studies also highlight serious challenges related to data accuracy, algorithmic bias, ethical and legal accountability, openness, and employee confidence. Using the information presented in previous researchers, this paper presents an organized review of the positive aspects of AI usage and issues of applying AI in HRM. The paper contributes to the increasing body of HR analytics literature by highlighting research gaps and synthesising previous works and also adds to the practical agenda by showcasing significant use of AIbased HRM in various functions and the related challenges faced in its implementation.