Integrated Reporting and Financial Performance: Empirical Evidences from Bahraini Listed Insurance Companies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Middle Eastern countries, Integrated Reporting <IR> concept is gaining momentum and companies are adopting it in non-standardize way however, it is not mandatory by law. The current study is aimed at exploring <IR> among five listed insurance companies in Bahrain and its effects on their financial performance (Return on Assets assumed). Content, descriptive and linear regression analyses were employed to analyze the collected data over a period of four years from 2012 to 2015. The research findings suggested that there is a wide variation of companies’ compliance with <IR>, and the use of non-uniform disclosure formats. The content elements whose level of disclosures appeared to improve include the external environment and organizational overview, governance, and outlook, while there is a decreasing level of disclosures that are witnessed for risk and opportunities. The business model, strategy and resource allocation have a positive and significant relationship with Return on Assets (ROA), while risk and opportunities and performance elements negatively, but significantly related to ROA. This research will help the policy makers, regulators, investors, companies, researchers and analysts to understand the importance of <IR>. Further, it provides the broad understanding and application of <IR> to the researchers, academicians and students communities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it