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Cited by 618

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Understanding Collaboration Among Nonprofit Organizations: Combining Resource Dependency, Institutional, and Network Perspectives

Open access
Guo, Chao, Acar, Muhittin·2005·Nonprofit and Voluntary Sector Quarterly

Abstract

Existing research stops short of explaining why nonprofit organizations develop certain forms of collaborations instead of others. In this article, the authors combine resource dependency, institutional, and network theories to examine the factors that influence the likelihood that nonprofit organizations develop formal types of collaborative activities vis-à-vis informal types. Based on the survey data of 95 urban charitable organizations, the study has found that an organization is more likely to increase the degree of formality of its collaborative activities when it is older, has a larger budget size, receives government funding but relies on fewer government funding streams, has more board linkages with other nonprofit organizations, and is not operating in the education and research or social service industry.

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Crossref · 10.1177/0899764005275411

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Metadata

Authors
Guo, C., & Acar, M.
Venue
Nonprofit and Voluntary Sector Quarterly
Published
2005-09
Volume
34
Issue
3
Pages
340-361
ISSN
  • 0094-0607 (ISSN-L)
  • 0899-7640
  • 1552-7395
OpenAlex
W2107755939
Cited by
618
References
1
FWCI
25.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Understanding Collaboration Among Nonprofit Organizations: Combining Resource Dependency, Institutional, and Network Perspectives. https://app.cochat.ai/papers/10.1177/0899764005275411
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Guo, C., & Acar, M. (2005). Understanding Collaboration Among Nonprofit Organizations: Combining Resource Dependency, Institutional, and Network Perspectives. Nonprofit and Voluntary Sector Quarterly. https://doi.org/10.1177/0899764005275411

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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.