It Goes without Saying: The Effects of Intrinsic Motivational Orientation, Leadership Emphasis of Intrinsic Goals, and Audit Issue Ambiguity on Speaking Up
Bibliographic record
Abstract
ABSTRACT Regulation requires auditors to raise significant audit issues and concerns to the attention of audit engagement leadership and requires leadership to encourage such communication. This research demonstrates, using an experiment and a survey, that audit team members' willingness to speak up about such issues is associated with their intrinsic motivational orientation. Based on this result, we test whether audit leadership can leverage this relationship to increase speaking up, particularly when audit issues are more ambiguous, by emphasizing intrinsic goals. Results across three additional experiments indicate that auditors whose leaders emphasize intrinsic goals, whether directly or through tone at the top and firm culture, are more likely to speak up than are other auditors. We also find that auditors are more likely to speak up when an audit issue is less versus more ambiguous. We conclude that leadership can fulfill their obligation to encourage upward communication by emphasizing intrinsic versus extrinsic goals, regardless of the level of ambiguity surrounding the audit issue.
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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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".