Can Sustainable Corporate Governance Enhance Internal Audit Function? Evidence from Omani Public Listed Companies
Bibliographic record
Abstract
With the application of the agency theory and institutional theory, this study is intended towards the measurement of sustainable corporate governance (SCG) impact on internal audit function (IA) within Omani public listed companies. This study will also theoretically consider the Chinese investment in Oman and its potential impact on Oman’s corporate governance. For this study, SCG is an independent variable and IA is the dependent variable. This study used a descriptive cross-sectional survey design. Data is collected by an internet-based tool and analyzed via PLS-SEM and SPSS. Result suggests that SCG has a significant and direct relationship with IA. In order to attract and sustain Chinese investment and to achieve SCG, this study can assist regulators, professional bodies, and organizations in amending their codes of corporate governance and organizational policies by introducing SCG clauses into their policies and codes with emphasis on the protection of foreign investors. To the best of the knowledge of the researcher, this study is unique, as previous studies demonstrate the IA on SCG, whereas this study emphasizes that SCG can impact the control functions within organizations that also include IA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".