Application of consumer search volume in auditing

Pei Li
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Abstract

The application of nonfinancial information in auditing has allowed external auditors to effectively analyze corporate financial performance and assess fraud risk. This study examines whether the consumer search volume can be employed as a source of nonfinancial information in external audits to improve the accuracy of accounting estimates and help detect fraud in the financial statements. The consumer search volume, which is measured using the search volume index reported by Google Trend, captures the general level of contemporaneous consumer interest for corporate products or services. This study finds that the consumer search volume model generally outperforms the benchmark model when generating accounting estimates in analytical procedures. This study further examines and confirms that the consumer search volume is negatively associated with the accounting misstatements in the AAERs sample. Lastly, this study finds that the consumer search volume model generally outperforms the benchmark model in detecting misstatements.
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消费者搜索量在审计中的应用
非财务信息在审计中的应用,使外部审计人员能够有效地分析企业财务绩效,评估舞弊风险。本研究探讨了消费者搜索量是否可以作为外部审计中非财务信息的来源,以提高会计估计的准确性,并帮助发现财务报表中的欺诈行为。消费者搜索量是使用谷歌Trend报告的搜索量指数来衡量的,它捕获了同期消费者对公司产品或服务的一般兴趣水平。本研究发现,当在分析过程中产生会计估计时,消费者搜索量模型通常优于基准模型。本研究进一步检验并证实了消费者搜索量与AAERs样本中的会计错报呈负相关。最后,本研究发现消费者搜索量模型在检测错报方面总体上优于基准模型。
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来源期刊
CiteScore
9.00
自引率
6.50%
发文量
23
期刊介绍: The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.
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