Combined Effects of Perceived Politics and Psychological Capital on Job Satisfaction, Turnover Intentions, and Performance
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Bibliographic record
Abstract
With a diverse sample (N = 231 paired responses) of employees from various organizations in Pakistan, the authors tested for the main effects of perceived organizational politics and psychological capital on turnover intentions, job satisfaction, and supervisor-rated job performance. They also examined the moderating influence of psychological capital in the politics–outcomes relationships. Results provided good support for the proposed hypotheses. While perceived organizational politics was associated with all outcomes, psychological capital had a significant relationship with job satisfaction and supervisor-rated performance only. As hypothesized, the negative relationship of perceived organizational politics with job satisfaction and supervisor-rated performance was weaker when psychological capital was high. However, the result for turnover intentions was counter to expectations where the politics–turnover intention relationship was stronger when psychological capital was high.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 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 it