Effect of Organizational Commitment, Competence and Good Governance on Employees Performance and Quality Asset Management
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 research aims to examine and analyze the influence of organizational commitment, competence and governance to employee performance and quality asset management at the regional Work Units (SKPD) of The Makassar city government. This research is an explanatory research, by observing cross-section a on the 203 civil servants who work in the 64 Regional Work Units (SKPD SKPD) Government of Makassar, using total sampling as sampling technique. Analysis of Structural Equation Model (SEM) through Analysis of Moment Structures (AMOS) Ver. 18 is used as a data analysis tool.Hypothesis testing results provide evidence that organizational commitment, competence and good governance has a positive and significant effect on employee performance. Organizational commitments have a negative and significant effect on the quality of asset management. The different results shown on the competence, good governance and employee performance are positive and significant effect on the Quality asset management for local Governments. Organizational commitment and competence indirectly significant effect on the quality asset management for local Governments: The mediating role of employee performance. On the other mediator variable testing, good governance indirectly has a significant effect on the quality of asset management: The mediating role of employee performance.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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