Bibliometric Insights Into A.I. For Talent Recruitment Management: A Comprehensive Analysis

Abstract

This study conducts a comprehensive bibliometric analysis on the application of Artificial Intelligence (AI) in talent recruitment management systems. The analysis aims to identify key research areas, trends, and the impact of AI on talent management practices. The findings reveal that AI enhances performance evaluation, decision-making processes, competition, and organizational practices in talent management. AI enables accurate prediction of future performance, identification of high-performing employees, and targeted development programs. It also improves candidate screening, succession planning, and offers personalized learning opportunities. AI provides a competitive advantage through advanced analytics, chatbots, and predictive analytics, attracting top talent and enhancing organizational performance. Real-time data availability supports data-driven decision-making, workforce planning, and employee perception of HR practices. The study contributes valuable insights for practitioners and researchers in implementing AI in talent management.