Browsing by Author "Pasic, Amir"

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    Eight Myths of Philanthropy
    (Stanford Social Innovation Review (SSIR), 2019) Benjamin, Lehn; Pasic, Amir; Freeman, Tyrone; Herzog, Patricia Snell; King, David; Konrath, Sara; Mesch, Debra; Osili, Una; Ottoni-Wilhelm, Mark; Practor, Andrea; Rooney, Patrick; Shaker, Genevieve; Wiepking, Pamala; Rolland Price, Abby; Smith Milway, Katie
    In this practitioner-engaged article, the Indiana University Lilly Family School of Philanthropy describe eight common myths of philanthropy. Myth busting these misconceptions, the article provides an overview of who gives, how, and with what impact. In so doing, the article contributes to a better understanding of the breadth and diversity of giving.
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    Inclusive Philanthropy
    (Stanford Social Innovation Review (SSIR), 2020) Pasic, Amir; Osili, Una; Rooney, Patrick; Ottoni-Wilhelm, Mark; Herzog, Patricia Snell; King, David; Practor, Andrea; Siddiqui, Shariq
    In this practitioner-engaged article, the Indiana University Lilly Family School of Philanthropy explain problems with limiting what counts as philanthropy since a narrow approach curtails understanding of scope and social value. The authors assert a more expansive approach is essential for creating a more equitable and democratic society. Inclusive giving practices include certain types of social media campaigns, giving circles, religious giving, workplace giving. The article concludes with a call for everyday citizens to engage in giving and thus balance undue influence to only the wealthy by fostering many voices amid financial and social resource channels.
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    Networked Civil Society: Three Essays on the Government–Nonprofit Relationship in China
    (2018-11) Ma, Ji; Steinberg, Richard; Pasic, Amir; Lenkowsky, Leslie; Ottoni-Wilhelm, Mark
    This dissertation has two goals: 1) Introducing data science methodologies to nonprofit studies; 2) Examining the impact of social relations on nonprofits’ social and economic behaviors. Ultimately, this dissertation provides empirical evidence for a new paradigm which is just in formation by a few scholars: a holistic network theory of government–nonprofit relationship. Chapter 2 establishes a robust and generalpurpose database which has the potential to support the development of a research topic. It also introduces the methodology for data management in contemporary quantitative social science. Based on the database established, Chapter 3 approaches the research question on nonprofit’s autonomy using network theory and finds that, although nonprofit organizations in China may lose their autonomy because of government officials on board, these organizations still enjoys a substantial level of freedom in the organizational network. The Chinese nonprofit sector suggests the existence of autonomous order theorized by political philosophers and observed in liberal societies. Chapter 4 reconsiders a classic research question in public economics – the crowd-out/in effect of government funding on private donations to nonprofits. This chapter proposes an innovative theoretical perspective for understanding the role of social relations in crowding mechanism: compensating mode and amplifying mode. Analysis suggests that, although government funding to a nonprofit may crowd out the private donations to the same organization, private donations are not reduced but redistributed to other nonprofits in the organizational network. This chapter also uses standardized data workflow to boost the research life-cycle, information extraction techniques to construct structured dataset from semi-structured raw data files, demonstrates how data science methodologies can help causal inference in classic econometrics.