Advanced people analytics: integrating tournament theory, human capital theory, and social network theory for enhanced HRIS and performance evaluation

This study explores the integration of advanced data analytics techniques within People Analytics and Human Resource Information Systems (HRIS), emphasizing their application in both organizational and sports performance contexts. By synthesizing Tournament Theory, Human Capital Theory, and Social Network Theory, this research provides a comprehensive framework for understanding skill dissemination, performance evaluation, and wage determination. Utilizing the NBA 2 K dataset, this study quantifies both tangible and intangible player attributes, incorporating digital engagement and social media metrics to enhance traditional performance metrics. Employing community detection algorithms and the Independent Cascade Model, the research uncovers hidden competencies and their influence on team dynamics and organizational effectiveness. The results contest established HRIS approaches, suggesting a holistic talent management strategy that takes into account the multifacetedness of skills propagation through networks. This work offers significant implications for HR professionals, providing novel insights into strategic HR planning, talent acquisition, and performance management in the digital age.