The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
The Purpose (and Perils) of Government-Nonprofit Partnership
Abstract
This study seeks to understand similarities and differences in why local governments and nonprofits choose to collaborate, particularly when those relationships are not governed by formal contracts or grants. Exchange, transaction, and resource dependence theories are used to understand the perceived advantages and disadvantages of collaboration as expressed by local government and nonprofit executives. Based on two large, comparable samples from Georgia, the analysis finds that the two sectors demonstrate a remarkable similarity in the benefits they seek from public-private partnerships, but with some key differences. The motivation to partner is driven by a desire to secure those resources most scarce for the respective sector: expertise and capacity for government, funding for nonprofits. Nonprofit executives generally exhibit a stronger undercurrent of negativity toward intersectoral partnership than do their public sector counterparts. This article discusses possible reasons for these similarities and differences and contributes to the scholarship linking capacity with organizational outcomes.
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Cited by
Nonprofit Sector Growth and Density: Testing Theories of Government Support
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Wright, N. S., & Reames, T. G. (2020) · Sustainability · doi:10.3390/su12124986 · Cited by 21
Sedgwick, D., & Lemaire, R. H. (2024) · The American Review of Public Administration · doi:10.1177/02750740231186426 · Cited by 4
Metadata
- Authors
- Gazley, B., & Brudney, J. L.
- Venue
- Nonprofit and Voluntary Sector Quarterly
- Publisher
- SAGE Publications
- Published
- 2007-09
- Volume
- 36
- Issue
- 3
- Pages
- 389-415
- ISSN
- 0094-0607 (ISSN-L)
- 0899-7640
- 1552-7395
- OpenAlex
- W1982461302
- Cited by
- 477
- References
- 45
- FWCI
- 36.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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