The Improvement of Employee Performance Through Islamic Leadership, Emotional Quotient, and Intrinsic Motivation
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
Improving good employee performance can have an impact on company success, employees are always required to work optimally where good or poor employee performance can affect overall company income. One of the most important in improving employee performance is Intrinsic Motivation. This study aims to determine and analyze the influence of Islamic leadership, emotional quotient, intrinsic motivation on employee performance. The population of this research is all employees at Sultan Agung Islamic Hospital Semarang, Indonesia. The number of samples studied in this study was 100 respondents with a purposive sampling technique, that is by determining specific characteristics in accordance with the research objectives. Data analysis in this study used multiple regression analysis. The results of this study indicate that there is an influence between Islamic leadership on employee performance, emotional quotient on employee performance, intrinsic motivation on employee performance, Islamic leadership on intrinsic motivation, and emotional quotient on intrinsic motivation.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 | 0.000 |
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