Elizabeth K. Keating

An Investigation of Fraud in Nonprofit Organizations: Occurrences and Deterrents

Losses due to fraudulent activities are particularly troublesome in the nonprofit sector because they directly reduce resources available to address tax-exempt purposes. The ensuing bad publicity also may reduce contributions and grants in subsequent periods. This article uses data provided by Certified Fraud Examiners to report on the types of fraud they identified in nonprofit organizations and the characteristics of both the victims and the perpetrators of the fraudulent activities. Based on the analysis of the data, the authors suggest ways that fraud losses can be prevented or mitigated. In particular, governing boards are urged to consider important controls in addition to the annual financial statement audit.

Assessing Financial Vulnerability in the Nonprofit Sector

Effective nonprofit governance relies upon understanding an organization’s financial condition and vulnerabilities. However, financial vulnerability of nonprofit organizations is a relatively new area of study. In this paper, we compare two models used to forecast bankruptcy in the corporate sector (Altman 1968 and Ohlson 1980) with the model used by nonprofit researchers (Tuckman and Chang 1991). We find that the Ohlson model has higher explanatory power than either Tuckman and Chang’s or Altman’s in predicting four different measures of financial vulnerability. However, we show that none of the models, individually or combined, are effective in predicting financial distress. We then propose a more comprehensive model of financial vulnerability by adding two new variables to represent reliance on commercial-type activities to generate revenues and endowment sufficiency. We find that this model outperforms Ohlson’s model and performs substantially better in explaining and predicting financial vulnerability. Hence, the expanded model can be used as a guide for understanding the drivers of financial vulnerability and for identifying more effective proxies for nonprofit sector financial distress for use in future research.