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Cited by 1,497

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Do Networks Really Work? A Framework for Evaluating Public‐Sector Organizational Networks

Open access
Provan, Keith G., Milward, H. Brinton·2001·Public Administration Review

Abstract

Although cooperative, interorganizational networks have become a common mechanism for delivery of public services, evaluating their effectiveness is extremely complex and has generally been neglected. To help resolve this problem, we discuss the evaluation of networks of community‐based, mostly publicly funded health, human service, and public welfare organizations. Consistent with pressures to perform effectively from a broad range of key stakeholders, we argue that networks must be evaluated at three levels of analysis: community, network, and organization/participant levels. While the three levels are related, each has its own set of effectiveness criteria that must be considered. The article offers a general discussion of network effectiveness, followed by arguments explaining effectiveness criteria and stakeholders at each level of analysis. Finally, the article examines how effectiveness at one level of network analysis may or may not match effectiveness criteria at another level and the extent to which integration across levels may be possible.

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Metadata

Authors
Provan, K. G., & Milward, H. B.
Venue
Public Administration Review
Publisher
Wiley
Published
2001-07
Volume
61
Issue
4
Pages
414-423
ISSN
  • 0033-3352 (ISSN-L)
  • 1540-6210
OpenAlex
W3021350996
Cited by
1,497
References
0
FWCI
52.81
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Do Networks Really Work? A Framework for Evaluating Public‐Sector Organizational Networks. https://app.cochat.ai/papers/10.1111/0033-3352.00045
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Provan, K. G., & Milward, H. B. (2001). Do Networks Really Work? A Framework for Evaluating Public‐Sector Organizational Networks. Public Administration Review. https://doi.org/10.1111/0033-3352.00045

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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.