Determinants of Sustainability Report Quality in Indonesian Public Companies: An Isomorphism Theory Approach
Bibliographic record
Abstract
Sustainability Reporting (SR) is a report containing economic, social, and environmental information, mandatory for public companies in Indonesia since the issuance of POJK regulation Number 51/POJK.03/2017.However, not all companies prepare SRs, and many do not focus on the determinants of SR quality, resulting in substandard reports.This study examines the determinants of SR quality using the institutional isomorphism theory approach.The research hypothesis posits that SR quality is influenced by CSR disclosures (economic, social, and environmental), creditor pressure, pressure from industry groups, government pressure, and the diffusion of shareholding structures (both high-and low-based) influences SR quality.The research sample consists of 305 public companies in Indonesia listed on the IDX during 2017-2020.Data were analyzed using content analysis and Multivariate Regression.The study results indicate that almost all hypotheses were confirmed to impact SR quality, except for government pressure, which is not supported due to the relatively small government share ownership, rendering it ineffective.The study also finds that the diffusion of shareholding structures, both high and low, can influence SR quality.On average, the quality of SR among public companies in Indonesia is 64.5% in the medium category, suggesting that companies are disclosing SR information in accordance with the POJK provisions and considering the principles of relevance and reliability, thereby making SR useful for decision-making.
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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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".