The Auditor's Judgment of the Disclosures in the Financial Statements and the Adoption of the Client Omission Strategy: Theory of Public Choice

Document Type : Research Paper

Authors

Department of Accounting, Najafabad branch, Islamic Azad Univercity, Najafabad, Iran

Abstract

Subject and Objective: According to general selection theory, one of the management strategies of auditors of state-owned companies is to divert the auditor's attention from managed accounts to clean (non-distorted) accounts or accounts that contain distortions other than managed accounts. The purpose is to influence the auditor's ability to detect fraud.
Research Method: The present research method is descriptive-survey in terms of data and applied in terms of purpose, which is a scenario tool. The statistical population of the study is all auditors working in institutions and auditing organizations and the research sample is 106 auditors in the period of 1400 who were selected by available sampling method. Univariate analysis of variance and a sample were used to test the hypotheses.
Findings: The results show that auditors in the face of financial statements containing distortions resulting from the strategy of elimination of transactions and the strategy of manipulation of evidence, in the case of state-owned companies compared to privately owned companies, They are more likely to judge that a misidentified mistake is unintentional.
Conclusion, originality and its addition to knowledge: The results of this study showed that a method of fraud (omission or omission) is identified in which managers are likely to use it, on the other hand, seems unlikely to auditors. That is intentional, and the results can help auditors who audit state-owned companies to make judgments that take into account mistakes made and a special look at the government's general selection and client omission strategy.

Keywords

References

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Governmental Accounting
Volume 9, Issue 1 - Serial Number 17
December 2022
Pages 287-312

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History

  • Receive Date: 24 April 2022
  • Accept Date: 26 October 2022

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