Progress in Administrative Sciences Performance Measurement and Evaluation: An Extensive Overview

Abstract

Performance measurement and evaluation are integral components of effective administrative practices, serving as the compass for organizations navigating the complexities of modern governance. This comprehensive review article synthesizes recent research and developments in the field, offering a nuanced exploration of methodologies, historical trajectories, technological innovations, challenges, best practices, and future trends.
Beginning with an insightful historical perspective, we trace the evolution of performance measurement from conventional methods to contemporary, outcome-centric approaches. Methodologies and tools, both quantitative and qualitative, are dissected, including the adoption of balanced scorecards, key performance indicators (KPIs), and the transformative integration of data analytics and artificial intelligence.
While highlighting success stories and best practices, we critically examine the inherent challenges and pitfalls associated with performance measurement. Addressing issues of measurement bias, data reliability, and unintended consequences, this review proposes strategies for mitigating these challenges and maximizing the utility of performance metrics.
A focal point of the article is the exploration of technological innovations, including big data analytics, machine learning, and predictive modeling, revolutionizing how organizations measure and evaluate performance. Real-world case studies underscore the tangible impact of these innovations on decision-making processes and organizational outcomes.
As we delve into future trends, we offer a forward-looking perspective on the evolving landscape of performance measurement and evaluation. Anticipated developments in methodologies, technological integration, and global collaboration provide valuable insights for professionals, researchers, and policymakers alike.