Measuring the performance of public agencies and programmes is essential to ensure that citizens enjoy quality services and that governments can be sure that taxpayers receive value for money. As such, good performance measurement is a crucial component of improvement and planning, monitoring and control, comparison and benchmarking and also ensures democratic accountability. This book shows how the principles, uses and practice of performance measurement for public services differ from those in for-profit organisations, being based on the need to add public value rather than profit. It describes methods and approaches for measuring performance through time, for constructing and using scorecards, composite indicators, the use of league tables and rankings and argues that data-envelopment analysis is a useful tool when thinking about performance. This demonstrates the importance of allowing for the multidimensional nature of performance, as well as the need to base measurement on a sound technical footing.
Michael Pidd is Professor of Management Science and Head of the Management Science Department at Lancaster University Management School. He is a research fellow of the UK's Advanced Institute of Management Research and has served as the President of the Operational Research Society. His technical work in computer simulation has been recognised by awards and accolades in the UK and the USA. His current work focuses on improvement in healthcare delivery.
List of figures; List of tables; Part I. Principles of Performance Measurement: 1. Measuring public sector performance; 2. Why measure, what to measure and what can go wrong; Part II. Different Uses for Performance Measurement: 3. Measurement for improvement and planning; 4. Measurement for monitoring and control; 5. Measurement for comparison; 6. Measurement for accountability; Part III. Practical Methods for Performance Measurement: 7. Measuring performance through time; 8. Scorecards and multidimensional indicators; 9. Composite indicators; 10. League tables and ranking; 11. Data envelopment analysis; Index.