Posted: Mar 09, 2022
The relationship between auditor tenure, rotation policies, and audit quality represents a fundamental concern in corporate governance and financial regulation. This research addresses limitations in existing literature by introducing a novel computational framework that comprehensively evaluates how temporal factors influence audit effectiveness across both internal and external audit domains. The paper develops a multi-dimensional audit quality assessment framework, introduces a methodology combining machine learning with network analysis, provides comparative analysis of tenure effects across audit functions, and identifies optimal rotation strategies that balance knowledge retention and independence maintenance.
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Rank: 138529