Using Self-Determination Theory (SDT) to Investigate the Relationship between Organizational Commitment, Happiness and Work Engagement in Service Industry
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
The economic competition is increasing day by day on both local and international level; therefore, it becomes the duty of organization to balance these processes along with job security. The study aimed to use the social determination theory (SDT) to evaluate the relationship between work engagement, happiness and organizational commitment. A quantitative research design was used to conduct the study, selecting 317 individuals working in three telecommunications companies (Orange, Zain, and Umniah). Regression analysis and Chi square analysis were carried out on the data collected through the questionnaire survey. The results showed a significant relationship between organizational commitment, work engagement and happiness. The Social Determination Theory (SDT) was also found to be relevant in evaluating the factors that are responsible for affecting the behavior of employees towards the organization. The study provides significant knowledge to practitioners in evaluating factors that increase job dissatisfaction or job insecurity among employees that leads to a reduction in the level of work commitment and engagement.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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