2020
DOI: 10.2139/ssrn.3537180
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Data Analytics and Skeptical Actions: The Countervailing Effects of False Positives and Consistent Rewards for Skepticism

Abstract: We investigate if varying rates of false positives impact auditor skepticism toward red flags identified by data analytic tools. We also examine the extent to which consistent rewards for skepticism can improve the application of skepticism on audits employing data analytics. Using an experiment with practicing auditors we observe that when false positive rates are higher, skepticism levels are low. We also find that consistent rewards for skepticism significantly improve the skepticism of our auditors. Howeve… Show more

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Cited by 15 publications
(16 citation statements)
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References 49 publications
(103 reference statements)
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“…When primed with the audit execution intervention, the reviewers perceived the two audit approaches to be similar in quality. The results complement Cao et al (2021) and other research (e.g., Brown‐Liburd, Brown‐Liburd, et al, 2021; Brown‐Liburd, Brazel, et al, 2021) that suggests stakeholder views (e.g., peer reviewers, regulators) influence auditors' willingness to adopt technology.…”
Section: Review Of Current Literaturesupporting
confidence: 86%
“…When primed with the audit execution intervention, the reviewers perceived the two audit approaches to be similar in quality. The results complement Cao et al (2021) and other research (e.g., Brown‐Liburd, Brown‐Liburd, et al, 2021; Brown‐Liburd, Brazel, et al, 2021) that suggests stakeholder views (e.g., peer reviewers, regulators) influence auditors' willingness to adopt technology.…”
Section: Review Of Current Literaturesupporting
confidence: 86%
“…False positives (i.e., type I errors) are those items or relationships identified as potential anomalies that, after further investigation, are determined to be reasonable and explained variations in the data (e.g., AICPA 2017; Johnson and Wiley 2019; Barr-Pulliam et al 2020). Along with the larger number of anomalies identified by ADA, the presence of a larger number of false positives brings additional challenges to the exercise of professional skepticism (e.g., Cao et al 2015;Earley 2015;Krahel and Titera 2015;Vasarhelyi et al 2015;Wang and Cuthbertson 2015;Yoon et al 2015;Alles and Gray 2016;AICPA 2015AICPA , 2017Richins et al 2017;Salijeni et al 2019;Barr-Pulliam et al 2020;Kipp et al 2020;Austin et al 2021;Krieger et al 2021). Higher false positive rates of ADA indicate lower calibration rates and, hence, investigating anomalies leads to potentially excessive costs (e.g., audit reporting delays, budget overages, but also strained client relations).…”
Section: False Positivesmentioning
confidence: 99%
“…Higher false positive rates of ADA indicate lower calibration rates and, hence, investigating anomalies leads to potentially excessive costs (e.g., audit reporting delays, budget overages, but also strained client relations). Given the usually high budget constraints faced by auditors, higher false positive rates may reduce auditors' motivation to investigate the anomalies identified by ADA, therefore reducing their motivation for skeptical behavior (Barr-Pulliam et al 2020).…”
Section: False Positivesmentioning
confidence: 99%
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