The Impacts of Servant Leadership and Organizational Politics on Burnout: A Research among Mid-Level Managers
Bibliographic record
Abstract
Burnout, as a factor related to an individual’s success, is defined as being exposed to behaviors that negatively affect performance and mainly refers to chronic stress. This research focuses on the effects of servant leadership on burnout through organizational politics. Data for the study were collected by survey method with participation of 401 employees from 49 different organizations. Obtained data were subjected to factor analysis with SPSS in order to check the internal consistency of the sample. Thereafter, by using AMOS software, confirmatory factor analysis were conducted and with structural equation modeling method research hypothesis of the study were tested. The results revealed that burnout was not emerged by servant leadership through organizational politics. Even though servant leadership is related to a change by creating a vision, this change process does not affect employees negatively because it comprises long-term plans and occurs spontaneously.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".