老练总是更好吗?感知到的数据分析工具的复杂性会导致有偏见的判断吗?

IF 1.6 Q3 BUSINESS, FINANCE
Jared Koreff, Stephen Perreault
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引用次数: 0

摘要

技术支持的数据分析工具的兴起为公司提高与复杂估计相关的审计质量创造了机会。为了打击审计师对使用技术工具的抵制,公司可能会向其审计人员宣传这些工具的复杂性。然而,很少有研究考察审计师对分析工具的复杂程度如何影响对审计证据的判断。我们进行了一项实验,发现在保持所有其他信息不变的情况下,审计监督员的偏好与分析工具的复杂程度相互作用,共同影响审计师对监督员的预期评估,进而影响他们在审计复杂估计时的证据评估决策。因此,审计公司提高工具的复杂程度会对复杂估计的审计产生比预期更大程度的重大影响。讨论了对审计理论和实践的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is sophistication always better? Can perceived data analytic tool sophistication lead to biased judgments?
The rise of technology-enabled data analytic tools creates opportunities for firms to improve audit quality related to complex estimates. To combat auditors’ resistance to using technology-enabled tools, firms may promote the sophistication of such tools to their audit staff. However, there is a paucity of research that has examined how auditors’ perceived sophistication of an analytic tool impacts judgments about audit evidence. We conduct an experiment and find that, holding all other information constant, the preferences of an audit supervisor interact with the perceived sophistication of an analytic tool to jointly impact auditors’ anticipated evaluation from a supervisor and, in turn, their evidence assessment decisions when auditing a complex estimate. As such, the promotion of tool sophistication by audit firms can significantly affect the audit of complex estimates to a greater degree than what would be expected. Implications for audit theory and practice are discussed.
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来源期刊
CiteScore
4.30
自引率
27.80%
发文量
14
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