The DOI matches its Crossref record.
On the unintended consequences of publishing performance data in the public sector
Abstract
Most performance indicator schemes in the public sector have been implemented on the assumption that they will yield benefits in terms of efficiency and equity. Less attention has been paid to the potential costs of such schemes. Drawing on experience from a range of sources, this paper identifies eight consequences of publishing performance data that are not necessarily intended, and which are likely to be dysfunctional. The paper gives examples of such phenomena from the UK public sector, and suggests ways in which they can be mitigated. While not challenging the desirability of publishing performance data, the paper concludes that the performance indicator philosophy is based on inadequate models of production and control. Most performance indicator schemes will therefore fail unless serious consideration is given to the deficiencies described in this paper.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
WHAT’S MEASURED IS WHAT MATTERS: TARGETS AND GAMING IN THE ENGLISH PUBLIC HEALTH CARE SYSTEM
BEVAN, G., & HOOD, C. (2006) · Public Administration · doi:10.1111/j.1467-9299.2006.00600.x · Cited by 1,580
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
(2021) · doi:10.1145/3411764 · Cited by 1,240
League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance
Goldstein, H., & Spiegelhalter, D. J. (1996) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983325 · Cited by 1,069
Adriaenssens, N., Coenen, S., Tonkin-Crine, S., Verheij, T. J. M., Little, P., & Goossens, H. (2011) · BMJ Quality & Safety · doi:10.1136/bmjqs.2010.049049 · Cited by 309
JAMES, O., & MOSELEY, A. (2014) · Public Administration · doi:10.1111/padm.12066 · Cited by 268
Metadata
- Authors
- Smith, P.
- Venue
- International Journal of Public Administration
- Publisher
- Informa UK Limited
- Published
- 1995-01
- Volume
- 18
- Issue
- 2-3
- Pages
- 277-310
- ISSN
- 0190-0692 (ISSN-L)
- 1532-4265
- OpenAlex
- W2015280904
- Cited by
- 822
- References
- 0
- FWCI
- 24.33
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On the unintended consequences of publishing performance data in the public sector. https://app.cochat.ai/papers/10.1080/01900699508525011
- The paper
- Smith, P. (1995). On the unintended consequences of publishing performance data in the public sector. International Journal of Public Administration. https://doi.org/10.1080/01900699508525011
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.