Journal Press India^®

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Technology and big data have changed organizational management in many ways. Machine learning can improve performance management. This article examines how machine learning affects performance management accuracy, efficiency, and decision-making. This paper reviews the literature on traditional performance management methods and their drawbacks. It then explains how machine learning algorithms can examine performance data, anticipate outcomes, and reveal patterns that may not be obvious. This paper also proposes a conceptual foundation for machine learning in performance management systems. This approach emphasizes data collection, pre-processing, algorithm selection, model training, and outcome interpretation. This connection can deliver immediate, personalized feedback, identify high-performing and at-risk individuals, and provide data-driven insights for informed decision-making. To utilize machine learning in performance management ethically, data privacy and algorithm bias are addressed. This research shows that machine learning and performance management can revolutionize employee performance assessment and improvement. 

Keywords

Machine learning, Performance management, Data-driven insights, Employee performance, Algorithm bias, Organizational success

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