Audit Committee Effectiveness and Company Performance: Evidence from Jordan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper seeks to investigate the effect of audit committee characteristics on the company’s performance. The sample consists of 165 non-financial companies listed on the Amman Stock Exchange (ASE) over the period 2014-2016. The results of the study show that the audit committee size, independence and gender diversity have a significant positive relationship with firm’s performance, whereas experience and frequency of meetings has an insignificant association. The results of the study could be beneficial for managers and boards in making suitable choices about audit committee characteristics and corporate governance mechanisms to enhance the company’s performance. The study gives policy makers a better understanding of the different characteristics required of an audit committee, for incorporation in future policy preparation to protect the shareholders’ interests. The relationship between audit committee characteristics and company performance is still ambiguous. This study contributes to the literature by identifying the role of audit committee characteristics in company performance, providing evidence for the view that performance is driven by specific audit committee characteristics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 it