The Financial Determinants of Integrated Reporting Disclosure by Jordanian Companies
Bibliographic record
Abstract
The paper aims to investigate the effect of financial leverage, profitability, liquidity ratios, cash holdings, and interest coverage ratios on the level of integrated reporting disclosure—as one of the reports that promotes sustainable development—of Jordanian industrial listed companies. The content analysis method was used to analyze the annual reports of 51 listed Jordanian industrial companies during the years from 2014 to 2019 (306 firm-year observations). The analysis showed that financial leverage, profitability, liquidity and cash holdings are important determinants for integrated reporting, whereas the analysis did not support the effect of the interest coverage ratio. To the best of our knowledge, this is the first empirical study that deals with the impact of a set of financial variables on integrated reporting in the context of emerging countries such as Jordan. This is also the first study that deals with disclosing integrated reports through the perspective of shareholders and stakeholders, as integrated reporting contains two parts, financial and non-financial; therefore, the current study contributes to the disclosure literature by providing new theoretical and empirical evidence in the context of emerging markets.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".