JOURNAL ARTICLE
The Effects of Whistleblower Program Financial Incentives and Administration on Financial Managers' Reporting Judgments.
Published In: Journal of Forensic Accounting Research, 2023, v. 8, n. 1. P. 387 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Gaydon, Daniel J.; Boyle, Douglas M. 3 of 3
Abstract
The accounting whistleblower literature has expanded with the passage of antifraud regulations such as the Sarbanes-Oxley and Dodd-Frank Acts. Prior studies focus primarily on the detection of the perceived wrongdoing through whistleblower intentions rather than prevention through the potential whistleblower targets (e.g., financial managers). We study the effects of whistleblower program financial incentives (i.e., incentives or no incentives) and whistleblower program administration (i.e., internally or externally) on financial managers' reporting judgments. A sample of 91 experienced financial managers provided their likelihood to recognize goodwill impairment in an experiment where whistleblower program incentives and administration were manipulated randomly between subjects. Results indicate that financial managers make more conservative judgments when the whistleblower program includes financial incentives. We find a significant interaction where financial managers are most likely to recognize impairment when incentives exist and the program is administered internally. Supplemental analysis indicates that nonprofit managers act less conservatively than other industries. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Forensic Accounting Research. 2023/01, Vol. 8, Issue 1, p387
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:2380-2138
- DOI:10.2308/JFAR-2022-026
- Accession Number:173743334
- Copyright Statement:Copyright of Journal of Forensic Accounting Research is the property of American Accounting Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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