Effect of Human Resource Competencies, Information Technology and Internal Control Systems on Good Governance and Local Government Financial Management Performance
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
This study aimed to analyze the effect of human resource competencies, information technology and internal control systems on good governance and local government financial management performance in the Indonesian local government (Pangkep South Sulawesi). Research conducted on civil servants working on 49 local work units (SKPD) by setting a sample of 245 respondents. Data were analyzed using Structural Equation Model (SEM) supporting through Analysis of Moment Structures (AMOS) Ver. 21. The results showed that the human resources competencies and internal control system have a positive and a significant effect on good governance. Information technology has positive but not significant effect on good governance. A human resources competency, internal control system and good governance have positive and significant effect on the financial management performance. Information technology has insignificant effect on financial management performance: The Mediating role of good governance
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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