Talent Management
Talent management research focuses on leveraging data-driven insights to optimize workforce strategies and improve decision-making in human resources. Current research emphasizes the application of artificial intelligence, particularly machine learning and large language models, to analyze large datasets (including qualitative interview data) for improved talent acquisition, development, and retention. This work aims to enhance the efficiency and effectiveness of talent management processes, offering significant potential for both academic advancements in data analysis techniques and practical improvements in organizational performance.
Papers
August 20, 2024
July 3, 2023