@article{c72ab76b5c4d4170a0a2f718254ae7e2,
title = "Donations in social context",
abstract = "Many nonprofit organizations rely on donations to fund their programs, and a robust literature predicts donations in large-scale quantitative studies. The focus, however, is almost exclusively on the financial characteristics of the organizations, leaving the social context underexplored. In this article, we theorize how ecological context, organizational identity, and social network ties can shape donations. We use the new Internal Revenue Service (IRS) release of e-filed nonprofit reporting forms to consider 95,518 501(c)3 nonprofits around 2015. Using lagged regression models, we find that organizations within a more favorable ecological context, those that use appeals to religion, and organizations with more volunteers report more donations. Furthermore, stressing affiliation with a geographic location is associated with more donations only under certain ecological conditions. The article concludes with a discussion of the implications of these results for nonprofit organizations and social theories regarding what influences donations to organizations.",
keywords = "donations, forms 990, lagged regression, organizational ecology, sociology",
author = "Ressler, {Robert W.} and Pamela Paxton and Kristopher Velasco",
note = "Funding Information: The authors acknowledge the support of grants from the Corporation for National and Community Service (201502185, PI: Paxton) and the National Institute of Child Health and Human Development (R24 HD42849, PI: Mark Hayward; T32 HD007081-35, PI: R. Kelly Raley) to the Population Research Center at the University of Texas at Austin. They offer many thanks to the Aspen Institute's Nonprofit Data Project, GuideStar, the Urban Institute, The Foundation Center, the Lilly Family School of Philanthropy, the Johns Hopkins Center for Civil Society Studies, the Charles Stewart Mott Foundation, and the Bill & Melinda Gates Foundation that advocated (and sued) for the release of machine-readable data. Funding Information: The authors acknowledge the support of grants from the Corporation for National and Community Service (201502185, PI: Paxton) and the National Institute of Child Health and Human Development (R24 HD42849, PI: Mark Hayward; T32 HD007081‐35, PI: R. Kelly Raley) to the Population Research Center at the University of Texas at Austin. They offer many thanks to the Aspen Institute's Nonprofit Data Project, GuideStar, the Urban Institute, The Foundation Center, the Lilly Family School of Philanthropy, the Johns Hopkins Center for Civil Society Studies, the Charles Stewart Mott Foundation, and the Bill & Melinda Gates Foundation that advocated (and sued) for the release of machine‐readable data. 1 2 3 4 5 6 7 Publisher Copyright: {\textcopyright} 2020 Wiley Periodicals LLC",
year = "2021",
month = jun,
day = "1",
doi = "10.1002/nml.21449",
language = "English (US)",
volume = "31",
pages = "693--715",
journal = "Nonprofit Management and Leadership",
issn = "1048-6682",
publisher = "Jossey-Bass Inc.",
number = "4",
}