Nonprofit organization fraud reporting: does governance matter?

Pages409-428
DOIhttps://doi.org/10.1108/IJAIM-10-2019-0117
Date03 March 2020
Published date03 March 2020
AuthorHusam Abu Khadra,Dursun Delen
Subject MatterAccounting/accountancy,Accounting methods/systems
Nonprof‌it organization
fraud reporting: does
governance matter?
Husam Abu Khadra
Department of Accounting, Heller College of Business, Roosevelt University,
Schaumburg, Illinois, USA, and
Dursun Delen
Department of Management Science and Information Systems,
Oklahoma State University, Stillwater, Oklahoma, USA
Abstract
Purpose This paper aims to contribute to the extant literature in this f‌ield by examining nonprof‌it
organizationsfraudreporting compliance using logisticregression and decision tree induction algorithms.
Design/methodology/approach This study used the data from 428 nonprof‌it organizations during
2009-2015 period, andanalyzed 21 individual measures (obtained from these organizationsInternal Revenue
Service Form990 f‌ilings) using logistic regression and decision tree induction algorithms, to study the
governancecharacteristics and fraud reporting.
Findings The study found evidence that compliance with the law, board of directorsindependence,
federal audit and using independent accountants to compile and review f‌inancial statements are the most
prevailing factors affecting the odds of nonprof‌it organizations experiencing fraud reported as an asset
diversion.
Originality/value The argument associated with using governanceto reduce the chances of fraud has
been a popular topic in industry and academia but unfortunately has limited empirical evidence in the
literature,especially when it relates to nonprof‌its.This study contributes to the literature inthis respect.
Keywords Fraud in nonprof‌its, Nonprof‌it governance, Asset diversion, IRS form 990
Paper type Research paper
1. Introduction
Due to their frequent fraud scandals, nonprof‌it organizations in the USA have been subject
to negatively portrayed media and public inquiries (McDonnell and Rutherford, 2018).
Despite these inquiries, not much attention has been devoted to analyzing and solving this
issue; as a result, more and more signif‌icant fraud cases have occurred over recent years.
Stephens and Flaherty (2013) indicate that one-sixth of all major embezzlement instances
occur in the nonprof‌it industry. Furthermore, accordingto the 2018 Association of Certif‌ied
Fraud Examiners(ACFEs) Report to the Nation,nonprof‌it entities made upto 9 per cent of
the reported and analyzed fraud cases and suffered a median lossof $75,000. This loss may
not seem signif‌icant; however, formany nonprof‌it entities, f‌inancial resources are extremely
limited, and a loss of $75,000 can be particularlydevastating in effectively carrying out their
missions (ACFE, 2018).
All organizations are vulnerable to fraud, but nonprof‌it organizations are subject to a
higher risk of fraud due to their greater reliance on human decency, moral missions and
ethical values and messages. An uptick in fraud activity couldbe the result of an increase in
Nonprof‌it
organization
fraud
reporting
409
Received5 October 2019
Revised27 November 2019
Accepted31 December 2019
InternationalJournal of
Accounting& Information
Management
Vol.28 No. 3, 2020
pp. 409-428
© Emerald Publishing Limited
1834-7649
DOI 10.1108/IJAIM-10-2019-0117
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/1834-7649.htm
the availability of funds, lack of enforcing regulations or weak or nonexistent internal or
external control measures. Unfortunately, very little empirical research exists on fraud in
nonprof‌its to provide answers as to why the uptick is occurring or what could be the
recommendationson how to reduce the occurrence of fraud in the nonprof‌it sector.
Historically, the lack of research was justif‌ied by the argument that publicly available
information on nonprof‌it organizationsgovernance and reporting of fraudulent activities
has been very limited. However, in 2008, things had changed when the Internal Revenue
Service (IRS) began requiring nonprof‌it organizations to disclose in their 990 Form tax
f‌iling, whether they were aware of any signif‌icant asset diversions during the year. A
diversion of assets includes any unauthorizedconversion or use of the organizations assets
(other than those of the ones for the organizations authorized purposes) including, but not
limited to, the embezzlement or theft activities (IRS,2019). Nonprof‌it organizations are also
required to answer a comprehensivelist of governance questions (Harris et al.,2015).
The main goal of this study is to examine the governance practices of nonprof‌it
organizations and investigate the impact of these practices on reporting fraud as asset
diversions. To test our hypothesis that states governance decreases the probability of
fraud,we examined all of the digitized data f‌iles from annual extracts of tax-exempt
organizationsf‌inancial reporting to identify and characterize the organizations that
suffered from asset diversion.Next, as a pseudo control group, we matched thesefraudulent
cases with similar organizations from the same reporting period that did not report any
asset diversion. To conductthe study, we followed an exploratory hybrid research approach
that represents an intersection of theory- and data-driven research (Maass et al.,2018).
Initially, we followed a theory-basedapproach to develop the main study hypotheses. Then,
we followed theoretical understanding with a data-driven approachto account for all of the
relevant variables that were available in the data set. The aim was to discover any
scientif‌ically interesting patterns through the application of analytical techniques and
means of reasoning (Kitchen, 2014). This approach enabled us to def‌ine, extract and use 20
governance factors and 1 control variable, all of which collectively affect the odds of fraud
occurrence, thus expanding on the work done by Harris et al. (2017). In their study,
Harris et al. (2017) used eleven corporate governance variables within a hypothesis-driven
research approach. This paper represents a shift toward more data-driven research that
relies on large and feature-rich data set to provide a more holistic perspective related
opportunities for conducting more impactful research studies. Furthermore, unlike Harris
et al. (2017), who had used a data set created by the Washington Post for the years 2008-
2011, our data was extracted directly from the IRS Sample of Statistics of Income (SOI)
database for the years 2009-2015. Thus, it covered a longer time window and excluded the
f‌inancial crises years of 2007-2008,which was important in terms of minimizing the impacts
of any external environmental factors, such as the economic recession, on the outcomes of
the study. Due to the 2008 tax f‌iling 990 form redesign,no comparative data were considered
for the years before 2009. Our study identif‌ied compliance with the law,board of directors
independence,federal audit and using independent accountants to compile and review
f‌inancial statements as the main factors affecting the odds of nonprof‌it organizations
fraudulent experiences.Our results were different from those of the ones reported by Harris
et al. (2017), which leads us to believe that the environmental factors mentioned above may
have affected their studyresults.
Due to the dichotomous nature of the dependent variablein our study, we developed and
analyzed the data using a binarylogistic regression model. Furthermore, we conf‌irmed our
results by using the C5 decision tree classif‌iers, C5 is an improved version of C4.5 and ID3.
The data set that we prepared and used for the analysis contained information on 428
IJAIM
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