Enhancing Auditors? Reliance on Data Analytics under Inspection Risk Using Fixed and Growth Mindsets
成果类型：
Article
署名作者：
Cao, Tongrui; Duh, Rong-Ruey; Tan, Hun-Tong; Xu, Tu
署名单位：
Nankai University; Tunghai University; Nanyang Technological University; Renmin University of China
刊物名称：
ACCOUNTING REVIEW
ISSN/ISSBN：
0001-4826
DOI：
10.2308/TAR-2020-0457
发表日期：
2022
页码：
131-153
关键词：
摘要：
Audit firms have invested significantly in data analytics (DA). However, evidence shows that auditors are often reluctant to rely on DA. A major auditor concern is that inspectors will second-guess the audit evidence gathered using DA. Drawing on psychology research, we examine how the effect of inspection risk on auditors??? reliance on DA is moderated by a fixed mindset (a belief that one???s ability is fixed) versus a growth mindset (a belief that one???s ability is malleable). In an experiment with Big 4 auditors as participants, we find that, relative to low inspection risk, high inspection risk reduces auditors??? reliance on DA when auditors are prompted to adopt a fixed mindset but increases it when auditors are prompted to adopt a growth mindset. Our findings contribute to auditing literature on DA, inspection risk, and mindsets, and have implications for auditors, audit firms, and regulators.
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