Does the Environmental Internal Audit Impact the Achieving of Sustainable Development in Industrial Companies Listed on the Amman Stock Exchange?
Bibliographic record
Abstract
This study aimed to determine the impact of environmental internal auditing with its dimensions represented by (compliance auditing, auditing environmental management systems, and auditing environmental financial statements) in achieving sustainable development in industrial companies listed on the Amman Stock Exchange. To achieve the aim of the study, a questionnaire was designed as a data collection tool for the study and distributed among 154 respondents namely: internal auditors, financial managers, and employees working in the financial departments in these companies. After conducting the necessary statistical analysis using SPSS, a statistical impact was reached at the significance level of α ≤ 0.05 for environmental internal auditing with its dimensions represented by (auditing compliance, auditing environmental management systems, and auditing environmental financial statements) in achieving sustainable development in industrial companies listed on the Amman Stock Exchange. The study suggests that industrial companies must provide appropriate environmental internal audit tools, including providing internal auditors with knowledge of environmental factors that have a fundamental impact on financial statements and understanding of environmental legislation and laws. The findings clarified the importance of training internal auditors on the stages of environmental internal auditing and skills in assessing environmental risks and obligations.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 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".