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Cited by 384

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Managing for Results in State Government: Evaluating a Decade of Reform

Moynihan, Donald P.·2006·Public Administration Review

Abstract

State governments in the United States have enthusiastically embraced the idea of managing for results. This appears to represent a victory for New Public Management policy ideas transferred from New Zealand, the United Kingdom, and Australia. The managing for results doctrine that emerged from these countries called for an increased focus on results but also increased managerial authority to achieve results. In return, it was claimed, governments would enjoy dramatic performance improvement and results-based accountability. This article assesses the implementation of public management reform in the United States and argues that the managing for results doctrine has been only partially adopted. State governments selected some of the New Public Management ideas but largely ignored others. In short, state governments emphasized strategic planning and performance measurement but were less successful in implementing reforms that would enhance managerial authority, undermining the logic that promised high performance improvements.

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Crossref · 10.1111/j.1540-6210.2006.00557.x

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Metadata

Authors
Moynihan, D. P.
Venue
Public Administration Review
Publisher
Wiley
Published
2006-01
Volume
66
Issue
1
Pages
77-89
ISSN
  • 0033-3352 (ISSN-L)
  • 1540-6210
OpenAlex
W2091452366
Cited by
384
References
30
FWCI
57.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Managing for Results in State Government: Evaluating a Decade of Reform. https://app.cochat.ai/papers/10.1111/j.1540-6210.2006.00557.x
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Moynihan, D. P. (2006). Managing for Results in State Government: Evaluating a Decade of Reform. Public Administration Review. https://doi.org/10.1111/j.1540-6210.2006.00557.x

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.