AI in Employee Performance Management: Process Mining for Enhancing Productivity and Growth

This study examines the integration of artificial intelligence (AI) and process mining in employee performance management at Prince Muhammad Bin Fahad University. A survey of 44 staff members assessed AI familiarity, productivity impact, and ethical concerns. Results showed 68% of postgraduate respondents and 75% of participants under age 35 highly accepted AI tools. Correlation and sentiment analyses, supported by predictive modeling, identified key factors influencing AI adoption. Strong associations were observed between AI learning tools and career alignment (r = 0.88), and between fairness and work quality (r = 0.82). Younger participants expressed optimism, while 61% of older respondents raised concerns about data privacy and bias. These findings underscore the importance of transparent, ethical, and user-centric AI systems. The research demonstrates that AI, integrated with process mining, offers strategic value for data-driven decision-making in human resource management.