Factors influencing the stability of senior executives in corporate hospitals of India
Bibliographic record
Abstract
Objective: To assess the factors (both job motivating and de-motivating) influencing the stability of senior executives in corporate hospitals and to find out the correlates of those job motivating and de-motivating factors. Methods: A cross sectional design was adopted for this study in which 14 factors were chosen to assess the level of job satisfaction using a five point Likert scale questionnaire. Seventy six senior executives with at least minimum 10 years of work experience from various corporate hospitals of India were interviewed using a non probability convenience sampling technique. Results: Majority (more than 75%) of the senior executives were satisfied with their job. Age, sex and work experience could not significantly affect the job satisfaction except for the stability of the job and salary and other added benefits. Conclusion: The current study makes an important contribution to the literature in finding the determinants of job satisfaction among senior executives built upon evidence from the findings.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".