An empirical study to determine effective factors on organizational commitment
Bibliographic record
Abstract
Organizational commitment plays an important role on the success of business units. Many companies rely on their human resources and when some skilled employees leave an organization, there would be a chaos in some organizations especially in small business units. The proposed study of this paper gathers the necessary information from 200 employees who work for custom organization in Iran. The results of factor analysis have indicated there are four factors influencing organizational commitments. The first factor is associated with cultural factor, the second issue is related to human resource based factors while the third factor indicates the behavior based factors and finally empowering based factors are the last item. The ratio of Chi-Square/df is equal to 2.66, which is less than 3 and this validates the results. We have also used structural equation modeling and the results show that the third factor, behavior based components, is the most important factor followed by the second factor, human resource factor. In addition, the third important factor is cultural issues followed by empowering factors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".