Artificial Intelligence Methods to Support People Management in Organisations through Innovation

Abstract: Organizations are shifting from individual roles to team-based structures, creating new challenges in team management. This study proposes a people management system to improve team effectiveness through better team formation, evaluations, and performance tracking. A review of research in psychology and computer science shows that individual traits impact team outcomes. The study outlines methods to assess personality and competencies, which inform a predictive model for team performance. It introduces the Synergistic Team Composition Problem (STCP) and provides two algorithms—one for small teams and another for larger groups—to optimize team formation. Additionally, it presents the Collaborative Judgment algorithm to reduce evaluation bias by incorporating peer feedback. Empirical tests support the benefits of these approaches in enhancing team effectiveness