It’s all a matter of consensus: Leader role modeling strength as a moderator of the links between ethical leadership and employee outcomes
Bibliographic record
Abstract
The present research examines the relationships between ethical leadership and unit-level organizational citizenship behaviors (OCB) and individual-level job satisfaction. In addition, this study tests the proposition that the impact of ethical leadership on these outcomes is moderated by leader role modeling strength, a unit-level construct that captures within-group consensus regarding the extent to which unit members perceived the leader as a role model of ethical behaviors at work. To these ends, the article draws on social learning theory (Bandura, 1977) and social identity theory (Ashforth and Mael, 1989). The results provide support for the proposed theoretical model in a sample of 297 employees nested in 58 work units. Specifically, ethical leadership was more strongly and positively associated with unit-level OCB and individual-level job satisfaction in work units reporting higher (versus lower) leader role modeling strength. This research highlights the importance of studying leader role modeling perceptions in order to better understand the boundary conditions of the impact of ethical leadership on employee attitudes and behaviors.
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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 | 0.007 | 0.038 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".