Authentic leadership, proactive goal regulation and help-seeking behavior: a multilevel moderated mediation
Bibliographic record
Abstract
Purpose Based on self-regulation theory, this study aims to investigate the relationship between authentic leadership and help-seeking behavior, as well as the mediating effect of proactive goal regulation and the moderating effect of leader identification. Design/methodology/approach We conducted a questionnaire survey on 489 employees from 94 teams and tested our research model through multi-level pathway analysis. Findings The analysis results suggest that (1) authentic leadership positively relates to employees’ proactive goal regulation; (2) employees’ proactive goal regulation positively relates to their autonomous (dependent) help-seeking behavior; (3) employees’ proactive goal regulation plays an intermediary role between authentic leadership and help-seeking behavior; (4) leader identification positively moderates the influence of authentic leadership on employees’ proactive goal regulation and (5) leader identification positively moderates the indirect relationship between authentic leadership and employees’ help-seeking behavior through employees’ proactive goal regulation. Practical implications Based on the findings of this study, organizations should foster authentic leadership in workplace to promote employees’ help-seeking behavior. In addition, managers should also attach importance to proactive goal regulation in promoting help-seeking behavior and leader identification in enhancing the positive influence of authentic leadership on employees’ proactive goal regulation. Originality/value This study finds that proactive goal regulation plays a key mediating role between authentic leadership and help-seeking behavior, and reveals the role of leader identification in reinforcing the positive impact of authentic leadership on help-seeking behavior.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".