Research on the Relationship Between Job Competence and Job Well-Being in Service Industry—Based on the Mediating Effect of Job Insecurity
Bibliographic record
Abstract
This paper takes 328 questionnaires of supervisors and employees in the service industry as samples and verifies the mechanism of the relationship between job competence and job well-being from the perspective of mediating effect of job insecurity and moderating effect of perceived organizational support. The results show that job competence has a significant positive impact on job well-being, the stronger job competence is, and the higher job well-being will be. And the positive effect of job competence on job well-being is mediated by job insecurity. Job competence has a positive effect on job insecurity, job insecurity has a significant negative effect on job well-being，and perceived organizational support moderates the relationship between job insecurity and job well-being, with the increase of perceived organizational support, the negative influence of job insecurity on job well-being decreased. It provides new ideas for the service industry to strengthen care and support for employees to reduce job insecurity, improve employee happiness and motivate employees.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".