The impact of sustainability governance attributes on comprehensive <scp>CSR</scp> reporting: A developing country setting
Bibliographic record
Abstract
Abstract This research examines the influence of sustainability governance attributes such as the sustainability department, sustainability committee, sustainability officer, sustainability policy, sustainability strategy, and sustainability assurance on comprehensive CSR reporting. Content analysis of corporate annual reports and sustainability reports of 280 non‐financial listed companies in Pakistan was used to determine comprehensive CSR reporting score and to capture sustainability governance attributes. Multivariate regression analysis technique was used to test the relationships. The results revealed that all the sustainability governance mechanisms except the sustainability officer and the sustainability department positively influenced comprehensive CSR reporting. This study highlights the usefulness of implementing sustainability governance mechanisms in promoting comprehensive reporting in developing countries and sets implications for shaping future CSR‐related policies and practices. This research extends the literature on the importance of internal corporate governance mechanisms in driving sustainability reporting agenda by providing empirical evidence in favor of sustainability governance mechanisms in improving comprehensive reporting in developing countries.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".