Linking Self-efficacy and Organizational Citizenship Behavior: A Moderated Mediation Model
Bibliographic record
Abstract
This study investigates the relationship between self-efficacy and Organization Citizenship Behavior (OCB), moderated by incivility and mediated by pro-social motivation. Self-efficacy is the employee's belief in him about his skills to perform tasks in different situations. The direct and indirect effects of self-efficacy of teachers towards their OCB through prosocial motivation have been observed in this study. For this purpose, data has been collected through questionnaires (N = 301) using convenience sampling in three-time phases with two weeks gaps between each phase. SPSS 22.0 and Amos 22.0 were used along with Process by Hayes for moderated mediation analysis. The results indicate that self-efficacy leads to organizational citizenship behavior (OCB) and pro-social motivation, moderated by incivility and mediated by pro-social motivation. In a nutshell, this study demonstrates self-efficacy enhances pro-social motivation and OCB within academic settings with reference to Pakistan, advocating that if teachers are confident to perform a task, they can also demonstrate their extra-role behavior. The present study contributes to the literature by analyzing the novel framework within the Pakistan context. The mediating effect of prosocial motivation between teachers’ self-efficacy and OCB has not been discussed in the prior studies. The implications, discussion, and conclusion are also discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".