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Cited by 761

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Promoting the Utilization of Performance Measures in Public Organizations: An Empirical Study of Factors Affecting Adoption and Implementation

Julnes, Patria de Lancer, Holzer, Marc·2001·Public Administration Review

Abstract

Despite its appeal for improving government, many state and local governments have not developed performance‐measurement systems, and even fewer use these systems to improve decision making. This study examines the factors that affect the utilization of performance measurement, based on the results of a national survey of state and local government officials. The goals of the study were to provide better information on the patterns of usage of performance measurement and to use this information to develop an elaborated model of the factors presumed to affect utilization. Using distinctions from the policy and evaluation literature, hypotheses were tested and confirmed: Policy adoption is driven more heavily by factors from rational and technocratic theory, whereas actual implementation is influenced by factors addressed by political and cultural considerations.

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Metadata

Authors
Julnes, P. D. L., & Holzer, M.
Venue
Public Administration Review
Publisher
Wiley
Published
2001-11
Volume
61
Issue
6
Pages
693-708
ISSN
  • 0033-3352 (ISSN-L)
  • 1540-6210
OpenAlex
W2057224257
Cited by
761
References
0
FWCI
34.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Promoting the Utilization of Performance Measures in Public Organizations: An Empirical Study of Factors Affecting Adoption and Implementation. https://app.cochat.ai/papers/10.1111/0033-3352.00140
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Julnes, P. D. L., & Holzer, M. (2001). Promoting the Utilization of Performance Measures in Public Organizations: An Empirical Study of Factors Affecting Adoption and Implementation. Public Administration Review. https://doi.org/10.1111/0033-3352.00140

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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.