Roadmap for the implementation of IFRS in Vietnam: Benefits and challenges
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
Since 2001, the International Accounting Standards Board has issued a set of accounting principles with the name International Financial Reporting Standards (IFRS). Along with the adoption of IFRS in many countries around the world, Vietnam is preparing a roadmap for the implementation of IFRS by 2022. This study was conducted by surveying 119 directors and corporate accountants for the reasons: (1) to collect their opinions about the roadmap and the scope of IFRS implementation; (2) to investigate the benefits to companies, investors, policy makers and government agencies; and (3) to assess the challenges of IFRS implementation. The results show that IFRS implementation increases the comparability and quality of financial information, reduces investment risks, increases market efficiency and attracts foreign direct investment. However, organizations face many difficulties to adopt IFRS as cost, human resources, legal and market issues. Analysis and comparison with the Sample Test show that there is no difference in assessing benefits and challenges by qualifications, gender, position, region nor firm size. ANOVA analysis showed that there is a difference in the benefits for policy makers by age, and for investors by type of business. This study also suggests implications in policies for the implementation of IFRS in Vietnam.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| 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 it