Effectiveness of internal audit in local governments: The moderating role of internal and external auditors’ relations
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
Research on the internal audit function is relevant for improving the quality of governance in organizations. The internal auditor is an important element of government management in the context of realizing good governance by providing quality and effective audit results. The aim of this study is to examine the factors influencing (determinants) the effectiveness of the internal audit function in Indonesian local government organizations. The research samples were 137 respondents. This study used primary data in the form of a questionnaire. The hypothesis testing technique used Partial Least Squares-Structural Equation Modelling (PLS-SEM) analysis. The results of statistical tests showed that independence, competence, and management support could increase the effectiveness of the internal audit function. However, this cooperative relationship does not moderate the influence of competence and management support on the effectiveness of internal audit. The practical implication of this study is that in order to increase the effectiveness of internal audit, internal auditors must uphold an attitude of independence, objectivity and freedom from conflicts of interest in carrying out their professional responsibilities. The practical value of this study also shows that to increase the effectiveness of public sector internal audit, internal and external auditors must increase cooperation to improve the effectiveness of internal audit, especially in discussion activities between internal and external auditors, communication between internal and external auditors, and activities to share working papers between internal and external auditors.
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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 | 0.000 |
| 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