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5 - Quantitative approaches towards assessing organizational performance

Published online by Cambridge University Press:  22 September 2009

Peter C. Smith
Affiliation:
Professor of Economics and director of the Centre for Health Economics University of York
George A. Boyne
Affiliation:
Cardiff University
Kenneth J. Meier
Affiliation:
Texas A & M University
Laurence J. O'Toole, Jr.
Affiliation:
University of Georgia
Richard M. Walker
Affiliation:
The University of Hong Kong
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Summary

Introduction

One of the major challenges confronting any commentary on public service performance is how to secure meaningful quantitative measures of performance. This difficulty should not be surprising. The impossibility of fully measuring the output of public services is one of the fundamental reasons why their provision cannot be left entirely to competitive markets, and why some sort of public sector regulation is required.

Nevertheless, over the last 25 years a growing capacity to measure aspects of public service performance has emerged, through what might be termed the ‘performance indicator movement’ (Bird et al. 2005). A confluence of forces has led to this revolution in the collection and use of public service performance data. On the supply side, the massive advances in information technology have greatly reduced the price of collecting and processing data. On the demand side there has emerged a growing popular and political scepticism of public service professionals and institutions, and calls for greater independent audit and accountability. Performance data appear to answer many of these concerns.

In the United Kingdom, the emergence of the performance indicator culture can be traced to 1981, when the national government mandated the collection of a suite of Local Government Comparative Statistics in England and Wales, and required local governments to publish in an annual report comparisons of their own performance with that of ‘similar’ institutions (Smith 1990; Carter et al. 1992).

Type
Chapter
Information
Public Service Performance
Perspectives on Measurement and Management
, pp. 75 - 91
Publisher: Cambridge University Press
Print publication year: 2006

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