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Cited by 197

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Networked Coproduction of Public Services in Virtual Communities: From a Government‐Centric to a Community Approach to Public Service Support

Meijer, Albert Jacob·2011·Public Administration Review

Abstract

Research on and practical attention for the coproduction of public services is increasing. Coproduction is seen as a way to strengthen the quality and legitimacy of public service and reduce costs. Scholarship on coproduction of public services repeatedly ignores the role of the new media. This is surprising since many proponents highlight its potential for changing traditional, government‐centric approaches to delivering public services. This article shows that digital communities form an important addition to the government‐centric form of public service provision since they foster both an exchange of experiential information and social‐emotional support.

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Crossref · 10.1111/j.1540-6210.2011.02391.x

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Metadata

Authors
Meijer, A. J.
Venue
Public Administration Review
Publisher
Wiley
Published
2011-07
Volume
71
Issue
4
Pages
598-607
ISSN
  • 0033-3352 (ISSN-L)
  • 1540-6210
OpenAlex
W2042040196
Cited by
197
References
2
FWCI
20.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Networked Coproduction of Public Services in Virtual Communities: From a Government‐Centric to a Community Approach to Public Service Support. https://app.cochat.ai/papers/10.1111/j.1540-6210.2011.02391.x
The paper
Meijer, A. J. (2011). Networked Coproduction of Public Services in Virtual Communities: From a Government‐Centric to a Community Approach to Public Service Support. Public Administration Review. https://doi.org/10.1111/j.1540-6210.2011.02391.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.