ORGANIZATIONAL MANAGEMENT CAPABILITY AND EMPLOYEE SATISFACTION ASSESSMENT AT MATERNITY HOSPITALS IN MONGOLIA
Bibliographic record
Abstract
Background: Management capability index presents the management assessment of any organizations. Therefore, we aimed to compare Mongolian maternity hospitals with the ones that have and have not implemented the quality management system. Methods: This study was performed at the three main maternity hospitals, in Mongolia, between July 2019 and September 2019 employing the cross-sectional study method. The study involved 480 employees. We used 9 chapters and 90 criteria that were used in over 30 Mongolian Governmental Organizations for capability assessment to determine management capability index of Maternity Hospitals. The organizational management capability was 71.8, 73.6 and 93 at Urguu Maternity Hospital, Khuree Maternity Hospital and Amgalan Maternity Hospital, respectively. It is obvious that there is a need to improve organizational knowledge, innovation, resource utilization, behavior, culture and activate their organization. In the results, there is a positive correlation between organizational capability and employee’s satisfaction. Conclusion: Employee’s satisfaction increases when organizational management capability improves.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".