ISSN: 2226-3624
Open access
Purpose: This review paper checks the application of artificial intelligence (AI) in human resource management (HRM) systems across Asia-Pacific organizations, with a focus on recruitment and talent acquisition. Methodology: A systematic review of 37 peer-reviewed empirical studies was conducted across nine Asia-Pacific countries, including Malaysia, China, India, and South Korea, analyzing four core AI-driven HRM functions: automated resume screening, video interview evaluation, candidate matching, and intelligent scheduling and communication. Findings: HRM systems using AI show quantifiable benefits as compared to conventional methods, improving recruitment times, manual processing, decreasing unconscious bias, and quality/diversity of candidates. Predicting personality and behavioral traits using AI video apps and making multilingual communication with candidates much more effective using chatbots powered by NLP and extensive across the region are key contributors to the success of AI-based recruiting methods. Implications: Successful AI adoption in Asia-Pacific HRM requires context-sensitive implementation strategies, transparent algorithmic governance, consistent bias auditing, and meaningful human oversight in final hiring decisions, particularly given regional challenges such as data privacy concerns, regulatory heterogeneity, and resistance to technological change.
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