The effects of the legal environment on the entire application of IFRS for small and medium-sized enterprises: The case of Vietnam
Bibliographic record
Abstract
The article explores the impact of factors in the legal environment on the application of the entire international financial reporting standards for small and medium-sized enterprises. Legal environmental factors include the legal system, the influence of the state role, professional associations and tax regulations. The author adopted the survey of 80 managers and 80 auditors to find out if there is any difference between the financial reporters and the financial reporting auditors on the impact of the legal environment. Through T-Test with SPSS 26 software, the author found that the tax factor is highly appreciated for both managers and auditors, especially for managers. The auditors assessed that the entire application of IFRS would bring benefits more than the costs while the managers assessed that the costs would be more than the benefits. Through the survey results, the author suggests limiting the impact of tax on accounting and further improving the role of professional associations.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".