Application of consumer search volume in auditing

IF 4.1 3区 管理学 Q2 BUSINESS International Journal of Accounting Information Systems Pub Date : 2025-01-28 DOI:10.1016/j.accinf.2025.100736
Pei Li
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引用次数: 0

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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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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