Job Stressors and Organizational Citizenship Behavior: The Roles of Organizational Commitment and Social Interaction
Bibliographic record
Abstract
Abstract This study investigates the relationships of two job stressors (work overload and interpersonal conflict) with organizational citizenship behavior ( OCB ), as well as the potential mediating effect of organizational commitment and the moderating effect of social interaction in these relationships. Multisource data from employees and their supervisors in a Mexican‐based organization reveal that organizational commitment fully mediates the relationship between work overload and OCB . Empirical support also emerges for a direct negative relationship between interpersonal conflict and OCB , as well as a partial mediation effect of organizational commitment in this relationship. Further, social interaction moderates the negative effects of the two job stressors on organizational commitment, such that the relationships are attenuated when social interaction increases. Finally, the results indicate support for the presence of moderated mediation, in that the indirect effects of work overload and interpersonal conflict on OCB are attenuated at higher levels of social interaction. Human resource professionals aiming to instill OCB among their employees thus can counter the inherent pitfalls of stressful work conditions by promoting social relationships among their 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 | 0.001 | 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 | 0.001 | 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) | 0.003 | 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".