Transformational leadership and autonomy support management behaviors
Why this work is in the frame
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Bibliographic record
Abstract
Purpose The purpose of this paper is to investigate the relationships between transformational leadership (TL), autonomy support management behaviors and employees’ psychological health. Design/methodology/approach A total of 512 Canadian workers assessed their immediate supervisor’s level of TL and autonomy support management behaviors. Participants also assessed their own psychological health through measures of psychological well-being and burnout at work. Findings Results from structural equation modeling indicate that TL is related to employee psychological well-being and burnout. This effect is fully mediated by more specific autonomy support and psychological control management behaviors. These results suggest that autonomy support and psychological control management behaviors may have a more proximal effect on employees’ psychological health than TL does. Also, managers’ leadership and behaviors appear to better predict employees’ psychological well-being at work than employee burnout. Practical implications Managers with a TL style employ more autonomy support and fewer psychological control behaviors, which makes employees happier and less burned out. Based on these results, leadership training programs would gain to focus on the development of more specific management behaviors among leaders, such as autonomy support, to enhance employees’ psychological health, especially their well-being. Originality/value This research expands understanding of the relationship between TL and the psychological health of employees by shedding light on the mediating role of autonomy support management behaviors in this relationship.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.005 | 0.001 |
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 it