The role of transformational leadership style in enhancing employees’ competency for organization performance
Why this work is in the frame
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Bibliographic record
Abstract
The transformational leadership style as practiced by the organization leaders was examined in their role to enhance employees' competency for organization performance. A quantitative approach is used in this study using a survey approach through the distribution of a set of questionnaires. In this study, the sample comprised of 232 supervisors from three food manufacturing industries in various supervisory levels, departments, and sections within the production line. The hypotheses were analyzed using IBM Statistical Package for the Social Sciences (SPSS) and partial least squares (PLS-SEM) SmartPLS version 3.0. The statistical analysis results confirm that there was a significant relationship between transformational leadership styles, employees' competency with organizational performance. The study also confirmed that the transformational leadership styles as practiced substantially contributed to employee competency. Based on the PLS-SEM's results, this study provides evidence that transformational leadership styles also substantially contributed to organization performance. The study also found that employee competency has contributed to organization performance. Based on the mediation analysis results, the study finds that employee competency mediates the relationship between transformational leadership style and organization performance. These results add to an understanding of the role of transformational leadership style and employee competency in contributing to a higher productivity and organization performance.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it