2016
DOI: 10.2308/ajpt-51608
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Internal Control Weaknesses and Financial Reporting Fraud

Abstract: This study examines whether and how weak internal controls increase the risk of financial reporting fraud by top managers. Since top managers can override controls, there is a longstanding debate on whether control strength significantly affects fraud risk, yet little evidence on this issue. In fact, prior work suggests that control weaknesses are linked to lower quality accruals associated with errors, not intentional manipulation. We find a strong association between material weaknesses and future fraud reve… Show more

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Cited by 132 publications
(102 citation statements)
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References 42 publications
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“…Doyle et al (2007a) also report significantly lower accrual quality for firms reporting ICWs. Chan, Farrell and Lee (2008) document a positive association between ICWs and restatements, and Donelson, Ege and McInnis (2016) find that firms that disclose material ICWs are significantly more likely to have a future fraud revelation, particularly for entity-level controls. This research supports an association between internal control quality strength and financial reporting quality.…”
Section: Mechanism For Change Following the Sec Wb Programmentioning
confidence: 92%
“…Doyle et al (2007a) also report significantly lower accrual quality for firms reporting ICWs. Chan, Farrell and Lee (2008) document a positive association between ICWs and restatements, and Donelson, Ege and McInnis (2016) find that firms that disclose material ICWs are significantly more likely to have a future fraud revelation, particularly for entity-level controls. This research supports an association between internal control quality strength and financial reporting quality.…”
Section: Mechanism For Change Following the Sec Wb Programmentioning
confidence: 92%
“…Liou (2008) found an average time lag of around three years from the fraud to its detection. Therefore, We obtain the fraud data from 2009 to 2016, which is similar with the research (Donelson, Ege, & McInnis, 2017). For example, if a restatement occurred in 2013, the calculation of fraud sample would start from 2013 to 2016 which is released after the issuance of restatement.…”
Section: Empirical Analysis 21 Sample Selection and Data Descriptionmentioning
confidence: 98%
“…This include accounting professionals to rationalize earnings management decision and incorporate corporate ethics and social responsibility in performing their duties (Shafer, 2015). Subsequently, weak controls will give managers the opportunity to commit fraud as earnings management is outweigh (Donelson, Ege, & McInnis, 2016;Zhang & Gao 2018). Ronen and Yaari (2007) classify earnings management as white (beneficial), gray (manipulation within boundaries) and black (misrepresentation and fraud).…”
Section: Revolution Of Earnings Management and Financial Statement Fraudmentioning
confidence: 99%