Personality and balanced psychological contracts: The mediating roles of epistemic curiosity and rule‐following behavior
Bibliographic record
Abstract
Abstract This study extends prior research on the relationships between personality constructs and types of psychological contracts by exploring how the Big Five traits predict balanced psychological contracts. Further, we determine whether epistemic curiosity and rule‐following behavior are key mediators of the proposed relationships. We tested our proposed hypotheses using three‐wave time‐lagged data from 469 respondents. The results indicated that openness to experience was positively associated and both conscientiousness and neuroticism were negatively associated with balanced contracts. Extraversion and agreeableness were not associated with balanced contracts. We also established the mediating role of epistemic curiosity in the relationships between personality traits and balanced contracts, but there was no support for the mediating role of rule‐following behavior in the present study. These findings have important implications for managers and organizations in terms of selecting the right person for a job (person‐job fit) and ensuring employee retention (person‐organization fit), hence having a bottom‐line effect on firm performance. Future research directions are also 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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".