Exploring Theoretical Artificial Intelligence Applications: HR’s Emerging Frontiers
摘要
The research proposes a comprehensive theoretical framework for applying artificial intelligence technology in human resource management. Drawing upon the established foundation of HRM’s four fundamental dimensions: recruitment, performance management, compensation assessment, and information-sharing practices, we interlace these core aspects with their corresponding AI technology potentials. The case analysis delves into the workforce management domain, using DHL as a prime example, and further extends the examination to encompass AI-driven enhancements in the dimensions of recruitment and training. The research embraces practical implications and invites future avenues for exploration in this burgeoning field. The proposed AIHRM conceptual model imparts valuable insights and charts a definitive course for the effective integration of artificial intelligence into enterprise-level HRM.