The Extent of the Obligation for the Jordanian Private Universities in the Requirements of Corporate Governance to Raise the Performance of the Financial Management: A Field Study
Bibliographic record
Abstract
This study aimed to identify on the obligation extent of the Jordanian private universities in the requirements of corporate governance to raise the performance of financial management, The study population included the employees in the financial departments at that population, has been selected a simple random sample of the population, have been distributed the Questionnaires (79) and recalled (68) representing (86%).The study concluded that there is obligation in the requirements of corporate governance, related in shareholders rights, board of directors, financial reports which helps to raise the performance of the financial departments in the Jordanian private universities. The main recommendations were: It’s necessary to continue to comply with the requirements of corporate governance, and must be the members of the Board of Directors with experience and competence, to reflect that positively with financial departments in the Jordanian private universities. that vary over time using the latest information in the market, incorporate the economic forces at play and capture the extreme market volatility. Our findings have direct implications in the financial markets for regulators, corporate financial decision makers, corporations and governments.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".