The Future of Performance Management: Integrating AI and HR Analytics for Better Decision Making

Authors

  • Muhammad Bilal Department of Business and Economics, Lahore University of Management Sciences (LUMS), Pakistan

Keywords:

AI in HR, performance management, HR analytics, data driven decision making, predictive performance, workplace technology, ethical AI, employee engagement

Abstract

Performance management is critical for organizational success in the modern era. Traditional methods often rely on subjective evaluations and lagging indicators, which can limit decision making effectiveness. With advancements in Artificial Intelligence (AI) and Human Resource (HR) analytics, organizations now have the opportunity to strengthen performance management systems with predictive insights, real time feedback, and data driven strategies. This paper examines the integration of AI and HR analytics into performance management, focusing on how these technologies can improve the accuracy, fairness, and strategic value of HR decisions. Drawing from current literature, case studies, and theoretical frameworks, this study highlights emerging challenges, ethical considerations, and future directions for research and practice. The findings suggest that integrating AI and HR analytics improves decision quality, enhances employee development, and contributes to organizational agility.

References

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Ahmad, N. R. (2025). Exploring the impact of inflation on Pakistani society: Challenges, causes, and long-term consequences for economic stability and social well-being. https://doi.org/10.63075/7vtnh777

Ahmad, N. R. (2025). Business ethics in the age of automation: How companies can balance profitability with responsibility. Punjab Model Bazaars Management Company.

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Published

2025-12-31