Do Different Data Analytics Impact Auditors' Decisions?
نویسندگان
چکیده
SUMMARY Global stakeholders have expressed interest in increasing the use of data analytics throughout audit process. While offer great promise identifying audit-relevant information, auditors may not this information to its full potential, resulting a missed opportunity for possible improvements quality. This article summarizes study by Koreff (2022) that examines whether conclusions from different types analytical models (anomaly versus predictive) and analyzed (financial non-financial) result auditor decisions. Findings suggest when predictive are used identify risk misstatement, increase budgeted hours more financial than non-financial analyzed. However, anomaly auditors' do differ based on type These findings provide evidence uniformly impact
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ژورنال
عنوان ژورنال: Current Issues in Auditing
سال: 2022
ISSN: ['1936-1270']
DOI: https://doi.org/10.2308/ciia-2021-031