The role of work satisfaction as a mediation leadership on employee performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Leadership is an important factor in providing direction to employees and it can improve employee performance, significantly. When a leader can grow the employees' confidence in carrying out their respective duties, he/she contributes to the performance of the organization. In addition to leadership, job satisfaction is also an important factor which influences on employee performance. To be able to maintain existing resources, companies are required to increase employee satisfaction, increase employee organizational commitment and provide job security for employees. This study aims to analyze the influence of leadership on job satisfaction, analyze the influence of leadership on employee performance, study the effect of job satisfaction on employee performance and analyze job satisfaction as a mediate leadership on employee performance based on path analysis. The result of the analysis shows that leadership influenced job satisfaction and employee performance while job satisfaction affects performance. Finally, the results indicate that job satisfaction mediated the effect of leadership on employee performance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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