Job Satisfaction, Motivation and Commitment to Change of Stated Owned Enterprises Ministry Employee of Indonesia
Bibliographic record
Abstract
The State-Owned Enterprises Ministry as one of the Government agencies has a strategic role as a builder of State-Owned Enterprises to change the form of organizational bureaucracy and transformation to be a superholding company. This study focused on the influence of internal factors namely employee motivation and job satisfaction toward the commitment to change of State-Owned Enterprises Ministry employee. This study aimed to find out whether the motivation and job satisfaction affect the commitment to change, as well as provide strategies to increase commitment to succeed employee’s change toward the organizational changes. Data were collected using a stratified random sampling of 177 State-Owned Enterprises Ministry employees by spreading questionnaire, in-depth interviews with management, and focus group discussion (FGD) with the representatives of the employees from each division. The results indicated that motivation significantly associated with job satisfaction and Job Satisfaction is associated with the higher level of employees commitment to Change, but motivation was not associated with commitment to change. Qualitatively, it was more due to the change of commitment form among employees of the Ministry of State-Owned Enterprises, in General, it is a normative commitment and the commitment of the continuance, where employees feel obligated to support organizational change, not to take the effective role to make changes to the organization. Cross-validation result indicated that the final full SEM was valid and reliable.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".