Performance Evaluation and Metrics: Advances in Management Science

Abstract

Performance evaluation and metrics play a crucial role in management science, aiding decision-making processes and enhancing organizational performance. This article examines recent advances in performance evaluation methodologies and metrics within the realm of management science. It explores the evolution of performance evaluation techniques, from traditional methods to contemporary approaches, including the integration of data analytics, artificial intelligence, and machine learning. Additionally, the article discusses the importance of incorporating qualitative and quantitative metrics to provide a comprehensive understanding of organizational performance. Through a critical analysis of current research and case studies, this article highlights the significance of adapting performance evaluation practices to meet the dynamic needs of modern organizations.