Too much of a good thing: The interactive effects of cultural values and core job characteristics on hindrance stressors and employee performance outcomes
Bibliographic record
Abstract
Abstract This study contributes to research on core job characteristics by examining when employees may perceive enriched jobs as a hindrance stressor and in turn may experience lower performance at work. Utilizing time‐lagged data collected from a sample of 386 employee–coworker dyads and drawing on cognitive appraisal theory of stress and coping, we explore the mediating role of hindrance stressors on the relationship between core job characteristics and key employee performance outcomes (i.e., creativity, counterproductive work behaviors, in‐role performance, and organizational citizenship behaviors) and the moderating roles of cultural values (i.e., power distance and uncertainty avoidance) in influencing this mediation. The results supported the hypotheses, providing evidence that the experience of hindrance stressors mediates the relationship between core job characteristics and job performance outcomes when employees score high on power distance and uncertainty avoidance cultural values, and not when their scores on these cultural values were low. Practical implications and future research are discussed.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".