Analytics for Nonprofits

Analytics for Nonprofits

Caroline M. Mularz (Capital University, USA) and M. Ali Ülkü (Rowe School of Business, Dalhousie University, Canada)
Copyright: © 2014 |Pages: 9
DOI: 10.4018/978-1-4666-5202-6.ch012
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Introduction

This chapter aims to provide a framework of the uses of analytics and optimization in the setting of Nonprofit Organizations (NPOs) through the lens of an input-output process, while offering pointers for future research. An NPO is an entity with a social mission to meet a public or community need, and focus their resources to achieve goals that benefit their consumers. NPOs “play a variety of social, economic, and political roles in the society. They provide services as well as educate, advocate, and engage people in civic and social life.” (Boris & Steurle, 2006, p.66)

The non-profit sector comprises a great variety of NPOs such as universities, hospitals, homeless shelters, charities, disaster relief organizations, and the like. Salamon and Anheier (1992 a and b) develop a taxonomical foundation to clarify some important definitions in the non-profit sector. To enable comparative and cross-national research on NPOs, the following international classifications are commonly used (cf. UN Handbook, 2003): Culture and recreation (e.g. National Association of Latino Arts and Culture), education and research (e.g. Summer Science Program), health (e.g. Cancer Research Institute), social services (e.g. Salvation Army), environment (e.g. Center for Biological Diversity Inc.), development and housing (e.g. Community Housing Partnership), law/advocacy and politics (e.g American Civil Liberties Union), philanthropic intermediaries and volunteerism promotion (e.g. United Way, Peace Corps), international (e.g. Oxfam International), religion (e.g. Anti-Defamation League), business and professional associations/unions (e.g. Association of Fundraising Professionals), not elsewhere classified (e.g. Goodwill Easter Seals (workforce development), Communities in Schools (at-risk youth), AARP (aging), Humane Society (animal welfare), etc.).

As of 2010 there are over 1.56 million nonprofits in the United States. These NPOs contributed 5.5% to the U.S. GDP and employed 9.2% of the workforce (National Center for Charitable Statistics, 2012). Funding agencies put more and more pressure on NPOs to achieve higher standards in their effectiveness and efficiencies (Bradley et al., 2003). This research takes a deeper look on how the NPOs operate and how the current Operations Research/Management Science (OR/MS) literature can help NPOs achieve operational excellence.

NPOs in the United States meet tax-exempt status as corporations or trusts in over twenty-seven categories. These organizations are registered as tax-exempt 501 (c)(3) subsector with the Internal Revenue Service as a public charity; they cannot exist to benefit individuals, private shareholders, or be political (www.irs.gov). The fundamental difference between a For-Profit Organization (FPO) and NPO is that the latter directs resources to meet goals to benefit their consumers. Any profits generated by NPOs are redirected into the agency to benefit the consumer or for expansion ventures, but not for private gain. In stark contrast, a FPO exists to earn a profit which benefits their shareholders. FPOs accomplish this through the provision of targeted goods or services to maximize profit. A more recent development in this sector is the Public-Private Partnership (PPP). These have the heart of a NPO with a social mission and public sector employees as well as the support of private sector resources to assist in meeting that social mission. The United States Interagency Council on Homelessness identifies Community Shelter Board in Columbus, OH as a National model for successful PPPs. It should be noted that there is a higher level of culpability and scrutiny for PPPs due to increased requirements for transparency, accountability, and additional reporting.

Key Terms in this Chapter

Data Envelopment Analysis (DEA): An OR research method that measures the cross-efficiencies of multiple units in a system.

Operations Research/Management Science (OR/MS): An interdisciplinary branch of applied mathematics, engineering and sciences that uses various scientific research-based principles, strategies, and analytical methods including mathematical modeling, statistics and algorithms to improve an organization's ability to enact rational and meaningful management decisions.

Capacity Building: The ability of NPOs to effectively fulfill their missions and positively impact the communities in which they operate.

Analytics: The extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.

Public-Private Partnership (PPP): A government service or private business venture which is funded and operated through a partnership of government and one or more private sector companies.

Nonprofit organization (NPO): An organization that uses surplus revenues to achieve its goals rather than distributing them as profit or dividends.

Web Analytics: Measurement, collection, analysis and reporting of Internet data for purposes of understanding and optimizing Web usage.

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