The perceived association between audit rotation and audit quality: evidence from the UAE
Bibliographic record
Abstract
Purpose The purpose of this paper is to explore the perceived association between audit rotation (AR) and audit quality (AQ) using respondents from a sample of audit firms operating in a developing economy, the United Arab Emirates (UAE). The paper addresses the following research question: How do UAE auditors perceive the association between various forms of AR and AQ? Design/methodology/approach The authors collected perception data from a sample of UAE auditors using a questionnaire, and applied several non-parametric statistical techniques to analyze the data, and to answer five exploratory research questions on the perceived association between various forms of AR and AQ. Findings The findings suggest that the UAE auditors in our sample did not perceive the association between individual types of AR and AQ as significantly different, and that AR in general is essential for AQ improvement and enhances trust in the audit process. Similarly, we find more support for the perception that medium audit tenure is associated with a lower impairment effect on auditor independence. Furthermore, we find no significant differences in perception based on gender, but younger/less experienced professionals and professionals in self-employed practices and small audit firms (compared to other demographics) significantly perceived AR enforceability and AT length to be associated with AQ. Our findings help to enrich our understanding of the perceived AR-AQ association in a relatively new context and less researched audit area in a developing economy. Originality/value Although lively debates on the question of AR and AQ within the accounting, finance, investment professions and in the financial media continue, there has been relatively limited knowledge and a dearth of empirical studies on this question in most developing economies. Being the first attempt in the country – the UAE, this study contributes towards addressing this gap in empirical knowledge by exploring the perceived association between various forms of AR and AQ in a developing economy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".