Quality of Work Life on Employees Job Involvement and Affective Commitment between the Public and Private Sector in Malaysia
Bibliographic record
Abstract
This study is designed to examine the relationship between the quality of work life (QWL), employees’ job involvement and affective commitment among the employees of the public and private sector organizations in Malaysia. A total of 334 middle management level employees were selected to participate in this study. QWL was measured with five dimensions which are ‘fair and appropriate salary’, ‘working conditions’, ‘capacities at work’, ‘opportunities at work’ and ‘organization climate’. The intervening and dependent variables are job involvement and affective commitment respectively. The results indicated that working conditions, opportunities at work and climate organization had a relatively higher impact on ‘job involvement’ and ‘affective commitment’. Findings of this study contributed to the knowledge and understanding of the effect of the selected factors, which leads to better understanding among the practice for both public and private organizations in Malaysia towards attainment of a superior level of efficiency to thrive in an ever competitive business world.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".