100 Percent Population Testing and Concerns of Auditors With Limited Liability Exposure: Evidence From Retail Investors

Reginald Wilson, Brock Revels
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Abstract

This study investigates whether the type of evidence collected during an audit reduces retail investors concerns of CPA firms whose liability exposure is limited during an audit engagement. This study is motivated by calls for further research pertaining to the benefits and effectiveness realized by the use of big data during the audit engagement. Retail investors who responded to a 2 x 2 experiment did not perceive CPA firms’ independence to be impaired, regardless of the audit methodology used to gather audit evidence (100 percent population testing versus traditional sampling). These results are useful to accounting lawmakers who previously expressed concern that a reduction of liability would impair auditors’ judgement during the audit. Similarly, these results may assist accounting lawmakers in deciding whether or how to change auditing standards to reflect the benefits of big data in auditing. This study was approved by the Institutional Review Board.
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100% 人口测试与有限责任风险审计师的担忧:来自散户投资者的证据
本研究调查了审计期间收集的证据类型是否会减少散户投资者对会计师事务所在审计业务期间责任风险有限的担忧。这项研究的动机是呼吁进一步研究在审计业务中使用大数据所带来的好处和实现的效果。无论使用哪种审计方法收集审计证据(100% 人口测试与传统抽样),对 2 x 2 实验做出回应的散户投资者都认为会计师事务所的独立性没有受到损害。这些结果对会计立法者很有帮助,因为他们之前曾担心减少责任会损害审计师在审计过程中的判断力。同样,这些结果可能有助于会计立法者决定是否或如何修改审计准则,以反映大数据在审计中的益处。本研究获得了机构审查委员会的批准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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