An investigation into the effect of social support on job performance and job satisfaction in the Jordanian insurance industry
Bibliographic record
Abstract
An increased sense of job performance and better job satisfaction can be achieved by receiving social support. In order to fulfil this purpose, this study aimed to determine the relationship between social support on the one hand and job performance and job satisfaction on the other hand for the Jordanian insurance industry employees. Survey data were gathered from 269 employees from the Jordanian insurance industry. The PLS 3.0 software was used to process data using the structural equation modelling method. The study’s findings revealed that all social support factors were positively and significantly related to job performance and job satisfaction, including manager support, peer support, friends support, and others’ support. Hence, job performance and job satisfaction in the Jordanian insurance industry can be predicted by studying the existence of social support. The study’s findings concluded that the higher the social support, the higher the job performance and job satisfaction.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".