Moderation effects of multiple directorships on audit committee and firm performance: A middle eastern perspective
Bibliographic record
Abstract
This study examines the moderation effects of audit committee members’ multiple directorships on the association between the number of audit committee meetings, attendance in the audit committee meetings and firm performance. A panel generalized least square method is used as the analysis tool, on the selected listed firms in the Saudi Arabian Stock Market (Tadawul). Empirical evidence suggests an inverse relationship between the number of audit committee meetings, audit committee meetings’ attendance and firm performance. As for the moderation effects of multiple directorships, a positive effect is documented. The results indicate that the multiple directorships by the audit committee members play a significantly positive role on firm performance in the Kingdom of Saudi Arabia (KSA). This study underwrites a middle eastern perspective on the relationship between the number of audit committee meetings and its attendance and the moderation effects of audit committee members’ multiple directorships on firm performance. The findings of this study provide valuable insights to policymakers and practitioners. The results should provide support to regulatory authorities to legislate effective regulations to make internal governance mechanisms work more effectively in the country.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".