The effect of company climate, organization citizenship behavior, and transformational leadership on work morale through employee job satisfaction
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
Contemporary businesses usually pay considerable attention to improve their employee work abilities, by paying attention to aspects of human resources. This study analyzes the effect of organizational climate, organizational citizenship behavior and transformational leadership as aspects that are predicted to increase job satisfaction and work morale. Sampling was taken using a non-probability sampling method, and through a Likert Scale with the questionnaire being distributed to 96 employees. The results of regression analysis show that there are significant effects of job satisfaction on work morale (t=2.706 and p=0.008 ≤ 0.05), organizational climate on job satisfaction (t=6.701; p=0.000≤0.05), and organizational citizenship behavior on job satisfaction (t=3.295; p=0.001≤0.05). In examining the mediating effect, the findings showed that there were significant effects of organizational climate on work morale through job satisfaction (t=2.492; p=0.015≤0.05), organizational citizenship behavior on work morale with job satisfaction interventions (t=2.311; p=0.023≤0.05). However, the study found that there was neither any significant effect of transformational leadership on job satisfaction nor transformational leadership on work morale with job satisfaction mediation. In theoretical term, the findings emphasize the importance of job satisfaction in forming company climate and employee morale. In practical side, this study found a basis for managerial level to pay more attention to job satisfaction in workplace as it also reflects an atmosphere that provides a combination of inside and outside work.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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