The Impact of Audit Committees Controls Commitment on Strengthening Corporate Governance: Evidence from Jordan
Bibliographic record
Abstract
This study aims to determine the extent to which the Boards of Directors of the industrial Jordanian Companies listed on Amman Stock Exchange (ASE) comply with the controls of composing audit committees, their working mechanisms, and the impact on the corporate governance. To achieve the objectives of this study, (155) questionnaires were developed and distributed to the staff members relevant to the subject matter of the study. Out of distributed questionnaire, (144) responded questionnaires only were collected from respondents. The number of questionnaires analyzed was (135) and a T-test has been used to test the hypotheses. The results of the study showed that there is a statistically significant correlation on the existence of the commitment of the Boards of Directors of the Jordanian Listed Companies to the disciplines of audit committees’ formation and their mechanisms of work. The results also demonstrated the existence of impact of this commitment on the governance of these companies. The commitments to these controls and their work mechanisms have been developed to enhance corporate governance in Jordanian companies.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".