Small and Medium Sized Entities Management’s Perspective on Principles-Based Accounting Standards on Lease Accounting
Bibliographic record
Abstract
Lease accounting is viewed as one of the top priorities for the International Financial Reporting Standards (IFRS) convergence. Small and medium sized entities are an important part of the economy, and this research investigates the management’s perspective on the adoption of principles-based IFRS about lease accounting. This researcher interviewed four managers from three different small and medium sized entities, and found the management to be more concerned about their long-term business success than the change of accounting standards. Only when the entities have a loan with the bank, then the management focuses on the lease classification. The interview also suggests that the managers and business owners in the small and medium sized entities have limited knowledge and skills in accounting reporting standards. These firms outsource their accounting needs to local accountants rather than having their own in-house departments. The other aspect of focus for management of these firms is tax consequence of IFRS adoption. The research suggests other regulatory agencies, i.e., Internal Revenue Service, should also be involved in enhancing financial statement transparency and usefulness after the adoption of accounting standards.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".