The effect of applying institutional governance principles in the accounting disclosure of service companies listed on the ASE
Bibliographic record
Abstract
The study aimed to identify the impact of the application of institutional governance principles in the accounting disclosure of service companies listed on the Amman Stock Exchange (ASE). The study collected the financial statements of companies during the period 2014-2019, and the extent of applying the principles of institutional governance was measured through indicators included (board of directors’ size, board of directors’ independence, and concentration of ownership). Accounting disclosure was also measured by return on assets and earnings per share. The study population consisted of service companies listed on the ASE, and the study used the random sample where the number of companies included in the study population (14) companies. The required data was obtained throughout the financial reports of companies published on ASE website as a study sample. The results showed a statistically significant effect on the application of institutional governance principles using their instruments (board of directors’ size, board of directors’ independence, and concentration of ownership) in accounting disclosure (return on assets, earnings per share). In the light of the previous results, the study presented several recommendations, which most importantly: The need to adhere to the principles and rules of institutional governance in a way that assists to protect the rights and interests of shareholders.
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.
How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".