Auditors ’ Ability to Detect Financial Deception : The Role of Auditor Experience and Management Cognitive Dissonance

We are grateful to the accounting professionals from various audit firms who participated in the study. We appreciate helpful comments from We examine how extensive audit experience and a prompt to attend to the CEO's cognitive dissonance individually and jointly influence auditors' detection of financial deception. We predict and find that experienced auditors outperform both chance and inexperienced auditors, especially when prompted to attend to managers' cognitive dissonance. This is encouraging, as meta-analyses from psychology find that experts generally outperform neither chance nor novices in detecting deception. Also as predicted but more worrisome, unprompted experienced auditors' performance edge over novices arises predominantly from fewer false positives. While false positives about fraud could strain an auditor's relationship with management, false negatives jeopardize audit effectiveness and increase the risk that financial statement users will suffer loss from fraud. In supplemental process analysis, we find that experience enables auditors to identify more, and more accurate, red flags in CEO's narratives. This red flag advantage, when experienced auditors are prompted to attend management's cognitive dissonance, translates into more accurate fraud detection. Finally, in exploring whether adding audio to written transcripts improves accuracy, we observe it does so only for inexperienced auditors.

[1]  Robert B. Welker,et al.  The Effect of Audit Inquiries on the Ability to Detect Financial Misrepresentations , 2007 .

[2]  Gale M. Lucas,et al.  Proportional reasoning, framing effects, and affirmative action : Is six of one really half a dozen of another in university admissions? , 2005 .

[3]  J Friedrich,et al.  Primary error detection and minimization (PEDMIN) strategies in social cognition: a reinterpretation of confirmation bias phenomena. , 1993, Psychological review.

[4]  Richard A. Riley,et al.  Financial Statement Fraud: Insights from the Academic Literature , 2008 .

[5]  J. Nunamaker,et al.  Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications , 2004 .

[6]  M. J. Page,et al.  A SURVEY OF TIME BUDGET PRESSURE AND IRREGULAR AUDITING PRACTICES AMONG NEWLY QUALIFIED UK CHARTERED ACCOUNTANTS , 1996 .

[7]  M. W. Nelson,et al.  A Model and Literature Review of Professional Skepticism in Auditing , 2009 .

[8]  D. Larcker,et al.  Detecting Deceptive Discussions in Conference Calls , 2012 .

[9]  Judee K. Burgoon,et al.  Cognitive Biases and Nonverbal Cue Availability in Detecting Deception , 2008 .

[10]  Cecilia Ovesdotter Alm,et al.  Affect in Text and Speech , 2009 .

[11]  Jay F. Nunamaker,et al.  Establishing a foundation for automated human credibility screening , 2012, 2012 IEEE International Conference on Intelligence and Security Informatics.

[12]  Dawn Matsumoto,et al.  What Makes Conference Calls Useful? The Information Content of Managers' Presentations and Analysts' Discussion Sessions , 2011 .

[13]  William J. Mayew,et al.  Analyzing Speech to Detect Financial Misreporting , 2011 .

[14]  I. Dyck,et al.  Who Blows the Whistle on Corporate Fraud? , 2007 .

[15]  A. Vrij Detecting Lies and Deceit: Pitfalls and Opportunities , 2008 .

[16]  Mohan Venkatachalam,et al.  The Power of Voice: Managerial Affective States and Future Firm Performance , 2011 .

[17]  I. Solomon,et al.  An Accountability Framework for Financial Statement Auditors and Related Research Questions , 2013 .

[18]  Maarten Pronk,et al.  Does Silence Speak? An Empirical Analysis of Disclosure Choices during Conference Calls , 2010 .

[19]  Karim Jamal,et al.  Detecting Framing Effects in Financial Statements , 1995 .

[20]  R. Houston,et al.  The Effects of Fee Pressure and Client Risk on Audit Seniors' Time Budget Decisions , 1999 .

[21]  Barry L. Lewis,et al.  Determinants of Auditor Expertise , 1990 .

[22]  Z. Kunda,et al.  The case for motivated reasoning. , 1990, Psychological bulletin.

[23]  Robert J. Crutcher,et al.  The role of deliberate practice in the acquisition of expert performance. , 1993 .

[24]  Jessen L. Hobson,et al.  The Effects of Auditor Rotation, Professional Skepticism, and Interactions with Managers on Audit Quality , 2015 .

[25]  Richard A. Bernardi Fraud Detection: The Effect of Client Integrity and Competence and Auditor Cognitive Style , 2008 .

[26]  David R. Peterson,et al.  Earnings Conference Calls and Stock Returns: The Incremental Informativeness of Textual Tone , 2011 .

[27]  K. A. Ericsson,et al.  Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. , 2004, Academic medicine : journal of the Association of American Medical Colleges.

[28]  Kathryn Kadous,et al.  The Effect of Quality Assessment and Directional Goal Commitment on Auditors' Acceptance of Client‐Preferred Accounting Methods , 2003 .

[29]  Aldert Vrij,et al.  Police officers ability to detect deception in high stakes situations and in repeated lie detection tests , 2006 .

[30]  T. Levine A Few Transparent Liars Explaining 54% Accuracy in Deception Detection Experiments , 2010 .

[31]  Benjamin M. Blau,et al.  Do Sophisticated Investors Interpret Earnings Conference Call Tone Differently than Investors at Large? Evidence from Short Sales , 2015 .

[32]  Carol A. Knapp,et al.  The effects of experience and explicit fraud risk assessment in detecting fraud with analytical procedures , 2001 .

[33]  J A Swets,et al.  Psychological Science Can Improve Diagnostic Decisions , 2000, Psychological science in the public interest : a journal of the American Psychological Society.

[34]  Joshua K. Hartshorne,et al.  When Does Cognitive Functioning Peak? The Asynchronous Rise and Fall of Different Cognitive Abilities Across the Life Span , 2015, Psychological science.

[35]  Joseph V. Carcello,et al.  Auditor Industry Specialization and Fraudulent Financial Reporting , 2002 .

[36]  James J. Lindsay,et al.  Cues to deception. , 2003, Psychological bulletin.

[37]  Hillary Anger Elfenbein,et al.  On the universality and cultural specificity of emotion recognition: a meta-analysis. , 2002, Psychological bulletin.

[38]  Howard B. Lee,et al.  Foundations of Behavioral Research , 1973 .

[39]  Paul E. Johnson,et al.  Detecting deception: adversarial problem solving in a low base-rate world , 2001, Cogn. Sci..

[40]  B. Depaulo,et al.  Individual differences in judging deception: accuracy and bias. , 2008, Psychological bulletin.

[41]  P. Ditto,et al.  Motivated Skepticism: Use of Differential Decision Criteria for Preferred and Nonpreferred Conclusions , 1992 .

[42]  Kim B. Serota,et al.  The Effects of Truth–Lie Base Rate on Interactive Deception Detection Accuracy , 2014 .

[43]  Patricia M. Dechow,et al.  Predicting Material Accounting Misstatements , 2010 .

[44]  Alexander Dyck,et al.  How pervasive is corporate fraud? , 2013, Review of Accounting Studies.

[45]  T. Gutheil Detecting Lies and Deceit: Pitfalls and Opportunities , 2010 .

[46]  N. Schoon,et al.  Earnings Conference Calls and Stock Returns: The Incremental Informativeness of Textual Tone , 2012 .

[47]  Diane D Pattison,et al.  Survey On The Differential Effects Of Time Deadline Pressure Versus Time Budget Pressure On Auditor Behavior , 2011 .

[48]  Arnold M. Wright,et al.  The Effect of Accountability and Time Budgets on Auditors' Testing Strategies* , 2000 .

[49]  B. Depaulo,et al.  Accuracy of Deception Judgments , 2006, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[50]  Robert L. Braun,et al.  The effect of time pressure on auditor attention to qualitative aspects of misstatements indicative of potential fraudulent financial reporting , 2000 .

[51]  Robert B. Welker,et al.  Identification of Perceived Interviewee Behaviors that Influence Auditors' Assessment of Deception , 2008 .