Journal of Forensic Accounting, Vol. VII, Issue 1, pp. 65-88, 2006
35 Pages Posted: 31 Jul 2006 Last revised: 10 Jun 2013
Date Written: January 3, 2006
Fraud detection is usually done by looking for red flags and various other cues of deceit. Research in auditing and psychology has questioned the effectiveness of these methods. Here we summarize work on constructing a new cognitive approach to understanding both success and failure at detecting financial statement fraud (Johnson, Grazioli, Jamal and Berryman 2001; Johnson, Grazioli, Jamal and Zualkernan 1992). We begin by analyzing the information processing problem than an auditor must solve to detect the presence of deceptive financial information. We then describe a theory of the solution to this problem, i.e. a theory of successful fraud detection. The theory is used as a yardstick to evaluate the actual behavior of Big 4 firm audit partners engaged in the review of real cases of financial statement fraud. An analysis of the errors made by these auditors allows us to formulate and test hypotheses on where they succeed, where they fail, and the cognitive processes that underlie both success and failure.
Keywords: Financial statement fraud detection, Cognitive processes, Deception detection, Errors
JEL Classification: M49
Suggested Citation: Suggested Citation
Grazioli, Stefano and Johnson, Paul E. and Jamal, Karim, A Cognitive Approach to Fraud Detection (January 3, 2006). Journal of Forensic Accounting, Vol. VII, Issue 1, pp. 65-88, 2006; University of Alberta School of Business Research Paper No. 2013-676. Available at SSRN: https://ssrn.com/abstract=920222 or http://dx.doi.org/10.2139/ssrn.920222