Determinants of corporate social disclosure in Saudi Arabia: The role of social values and IFRS convergence
Bibliographic record
Abstract
This study investigates whether Corporate Social Disclosure (CSD) is affected by IFRS convergence and social value in a country that has strict societal norms (Saudi Arabia). Using a sample of 292 Saudi manufacturing and utilities firms listed on the Saudi Capital Market during the period of 2015-2019, the study finds that IFRS convergence is not related to the CSD of the Saudi manufacturing and utilities firms. On the other hand, social values (as modeled by adopting CSD as a strategic objective) are significantly related to CSD. These results provide evidence supporting the view that CSD is influenced by social values rather than the change in the corporate disclosure environment in countries that exhibit strong conformity to societal values, such as Saudi Arabia. Overall, the current study adds to an understanding of the factors that determine CSD outside the shareholder-stakeholder orientation model.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".