The DOI matches its Crossref record.
Why do People Give?: New Evidence and Strategies for Nonprofit Managers
Abstract
As the nonprofit sector grows and its relationship with the public sector deepens, nonprofit managers are working harder at developing donated financial and human resources. Although much research on nonprofit fund-raising has looked at who donates and which fund-raising strategies are most effective, no work to date has connected the two concepts; to illuminate which fund-raising strategies work with which donors. Using interview data conducted with nonprofit fund-raising executives and survey data on Atlanta residents, the authors estimate the impacts of sociodemographic and economic characteristics on the success of different donor development approaches. After constructing conceptual and empirical models, the authors’ data analysis allows them to develop a set of management implications that will assist nonprofit managers in crafting development strategies for the organizations they operate.
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Citations
Cited by
Bekkers, R., & Wiepking, P. (2011) · Nonprofit and Voluntary Sector Quarterly · doi:10.1177/0899764010380927 · Cited by 1,503
Bekkers, R., & Wiepking, P. (2011) · Voluntary Sector Review · doi:10.1332/204080511x6087712 · Cited by 457
Metadata
- Authors
- Van Slyke, D. M., & Brooks, A. C.
- Venue
- The American Review of Public Administration
- Publisher
- SAGE Publications
- Published
- 2005-09
- Volume
- 35
- Issue
- 3
- Pages
- 199-222
- ISSN
- 0275-0740 (ISSN-L)
- 1552-3357
- OpenAlex
- W2107304604
- Cited by
- 281
- References
- 0
- FWCI
- 26.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Van Slyke, D. M., & Brooks, A. C. (2005). Why do People Give?: New Evidence and Strategies for Nonprofit Managers. The American Review of Public Administration. https://doi.org/10.1177/0275074005275308
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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.