Enhancing organizational commitment by exploring job satisfaction, organizational citizenship behavior and emotional intelligence
Bibliographic record
Abstract
Problems related to emotional intelligence, job satisfaction, organizational citizenship behavior, and organizational commitment in the world of education, especially lecturers in providing services for students is relevant in the analysis for the sustainability of the quality of an institution. Thus, this study aims to analyze the increase in organizational commitment in Indonesia by involving 371 lecturers from 19 universities in Bandung. Structural Equation Modeling (SEM) using AMOS was employed in selecting the sample. The results explain emotional intelligence had positive effects on organizational citizenship behavior and on organizational commitment, and job satisfaction had positive effects on organizational citizen-ship behavior and on organizational commitment. Organizational citizenship behavior was empirically proven to have a positive effect on organizational commitment. In examining the mediating variable, the results show that emotional intelligence positively influenced the organizational commitment through organizational citizenship, and that job satisfaction had a positive effect on organizational commitment through organizational citizenship behavior as a mediating variable.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 0.001 |
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 teacher head, 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".