Research That Matters Podcast - A Global Deep Dive
Episode 22: Philanthropy: Corporate Giving, Executive Corruption and more
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Publication Date
4-30-2026
Description
In this episode, we explore emerging research from the Journal of Nonprofit Innovation that challenges how we understand philanthropy—particularly the complex and sometimes hidden dynamics behind corporate giving. While philanthropy is often viewed as a signal of social responsibility and ethical leadership, recent studies reveal a more complicated reality. One study highlights how corporate donations, especially in certain regulatory environments, can be used to mask executive-level corruption—where higher levels of charitable giving are statistically linked to concealed misconduct within firms . This raises important questions for nonprofits that rely on corporate funding: how do we distinguish genuine social impact from strategic reputation management?
At the same time, the episode also explores broader themes across philanthropy research, including how donor motivations are shaped by incentives and culture, how foundations use media to influence public narratives, and how global systems of giving impact policy, equity, and trust. Together, these studies reveal that philanthropy is not just about generosity—it is deeply embedded in systems of power, governance, and human behavior. For nonprofit leaders, this research underscores the importance of transparency, due diligence, and thoughtful partnership strategies in navigating an increasingly complex philanthropic landscape.
This podcast episode was generated using NotebookLM, an AI tool, to create an accessible audio discussion based on the research presented in this article.
Recommended Citation
Bassett, Erica; Dorantes, Sebastian; Manchester, Fatih; and Stoddard, Isabelle, "Episode 22: Philanthropy: Corporate Giving, Executive Corruption and more" (2026). Research That Matters Podcast - A Global Deep Dive. 22.
https://scholarsarchive.byu.edu/joni_podcast/22
Comments
This podcast episode was generated using NotebookLM, an AI tool, to create an accessible audio discussion based on the research presented in this article.