A Multivariate Analysis of Job Satisfaction of Ready-made Garments (RMG) Workers in Bangladesh
Why this work is in the frame
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Bibliographic record
Abstract
<p>There is a paramount importance of Job Satisfaction of the employees of an organization for the smooth functioning of its work. It has substantial impact on workers’ performance. RMG workers of Bangladesh are enormous in number and instrumental to the economic growth of Bangladesh. But the salary and other benefits of these workers are very low compared to that of other industrial sectors. Sometimes, the salary and benefits are not even paid on time to the workers. As a result, a serious concern has been raised by the national and international stakeholders about the job satisfaction of RMG workers. Therefore, this study aims at identifying the job satisfaction factors of the RMG workers and providing suggestions for the improvement of present situation. For analyzing data multivariate analysis techniques are used by using Smart PLS, and SPSS. Salary and benefits, supervisor’s behavior, work and family life, working condition and the working environment are identified as factors having influence on job satisfaction of RMG workers in Bangladesh. Results show that the salary and benefits, supervisor’s behavior, work and family life are significantly related to the job satisfaction of the workers. This study suggests that for ensuring job satisfaction of the RMG workers in Bangladesh the policy makers should focus more on salary and benefits, supervisors’ behavior, and work and family life of the workers.</p>
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.005 | 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