Purpose of this paper

The study seeks to investigate the impact of Artificial Intelligence (AI) on the transformation of Human Resource Management (HRM) procedures through advances in efficiency, fairness, personalization, and transparency.

Design, methodology, and approach

The study utilizes a comprehensive literature review of 89 Scopus-indexed articles published to 2024. The study employs the Theory-Context-Characteristics-Methodology (TCCM) Framework to systematically organize and assess academic research, delineating theoretical foundations, contextual applications, methodological trends, and developing traits of AI integration in Human Resource Management (HRM).

Findings

The review delineates five principal topic themes for the implementation of AI in Human Resource Management: AI in HR Transformation and Strategy, Talent Acquisition and Workforce Planning, Performance Management and Talent Development, Workforce Analytics and Retention Strategies, and Ethical Governance in HR. The results underscore the revolutionary capacity of AI, while simultaneously exposing enduring difficulties, including ethical dilemmas, algorithmic biases, and disparate levels of digital preparedness.

Practical implications

The results assist HR professionals in utilizing AI tools to improve recruitment, training, engagement, and performance evaluation. The research underscores the necessity for enterprises to invest in the development of digital capabilities, implement ethical supervision systems, and establish transparent AI-driven human resource procedures to optimize advantages and mitigate dangersv What is original/value of paper

This study presents a thorough synthesis of AI applications in HRM utilizing the TCCM framework, providing a structured comprehension of existing knowledge and emerging trends