Strategic Performance Metrics and Innovative Measurement Methods in Public Personnel Management

Public administration increasingly demands strategic, data-oriented personnel management, yet traditional hierarchical metrics miss dynamic performance and innovation. This chapter examines the limits of conventional measurement in public personnel management and proposes a data-driven, dynamic governance framework. Its aim is to link digitalization with accountability and citizen orientation by specifying strategic indicators and technology-enabled methods. It outlines core concepts, then elaborates on strategic performance indicators and comparative analyses of metrics. It explores advanced methods, including AI-supported tools and continuous learning models, alongside blockchain, big-data analytics, sentiment analysis, and remote-work assessment. Findings show these tools improve transparency and continuous feedback while enabling ethical, auditable evaluation; policy implications for sustainable, evidence-based decision-making are provided.