The Importance of the <scp>C</scp>hief <scp>A</scp>udit <scp>E</scp>xecutive's Communication: Experimental Evidence on Internal Auditors' Judgments in a ‘Two Masters Setting’
Bibliographic record
Abstract
The position of an internal audit function (IAF) as a ‘servant of two masters’ (i.e., management and the audit committee) may lead to a conflict of priorities. In this setting, the tone at the top set by the Chief Audit Executive (CAE) plays a critical role in balancing the potentially competing priorities of the ‘two masters’. We test two hypotheses in a mixed experimental design with the communicated preferences of the CAE to subordinates (cost reduction vs. effectiveness of internal controls) as a between‐subjects factor, and levels of ambiguity (low, medium, high) manipulated within‐subjects. Findings suggest that the emphasis in the CAE's message can influence internal auditors' judgments, and such influence is more pronounced when task ambiguity is high, resulting in the elimination of a significantly greater number of internal controls and the design of less effective processes. We discuss implications of our results for modern IAFs and the role of the CAE.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".