The impact of corporate governance mechanisms and IFRS on earning management in Saudi Arabia
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
The current research seeks to assess the influence of corporate governance mechanisms and IFRS adoption on compliance with IFRS, earning management, and financial reporting quality(FRQ). A sample comprises 102 Saudi listed firms for the period spanning from 2014 up to 2019 was used. The study used descriptive statistics, correlation analysis and multivariate analysis to estimate the results. The results reveal that while board size, board meeting and foreign ownership had negative effects on compliance with IFRS, board and audit committee independence exhibited a positive effect. Further, the results demonstrate that there was a sign of earning management under IFRS when a performance magnitude was used. The results also indicate that board and audit committee size, audit committee meeting and managerial ownership had significant negative effects on financial reporting quality however, board and audit committee independence showed a significant positive effect. Importantly, the results found that FRQ under IFRS was better than Saudi GAAP. The present research provides practical implications for policy makers, stock market authority, and academicians. More regulatory and disclosure requirements have to be imposed and financial reporting supervisory board need to be formed. The present research provides a novel contribution to IFRS compliance, earning management, financial reporting quality and corporate governance literature. It has a unique contribution as it attempts to investigate this issue in the context of an emerging economy and a recent IFRS adopter; Saudi Arabia that has special country-specific characteristics. The study also provides an evidence by investigating earning management and financial reporting quality under both sets of accounting standards; IFRS and Saudi GAAP.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 it