The Effect of Organizational Culture on Lecturers’ Organizational Commitment in Private Universities in Indonesia
Bibliographic record
Abstract
In rigorous and competitive working environment, higher education institutions require a strong and supportive organizational basis. This study seeks to analyze the influence of organizational fundamentals of organizational culture on organizational commitment, job satisfaction, and the trust of lecturers as employees in tertiary institutions. This study is a quantitative study with the object of study in universities in Serang Banten, Indonesia. By using LISREL as the basis of structural equation modeling (SEM), the results show that organizational culture has a positive effect on organizational commitment, job satisfaction, and lecturer trust in the university environment. The implication is that a good and conducive organizational culture in tertiary institutions enables organizational members to build their integrity, competence, consistency and loyalty towards the tertiary organization. This condition can occur because of the existence of a conducive organizational culture, it will encourage members of the organization to actualize positive values in the organization, including the values contained in trust, such as integrity, competence, consistency and loyalty.
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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 | 0.002 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".