A study on the relationship between employee mental health and agility strategic readiness: A case study of Esfahan hospitals in Iran
Bibliographic record
Abstract
This study investigates whether enhancing organizational agility and mental health of staff could increase strategic readiness for crises or not. In this study, descriptive statistics is used to present demographic data of the research, and P-Test is employed for analyzing the data. In addition, to examine research hypotheses, correlation coefficients and descriptive statistics are implemented. Finally, to rank the variables and indicators of the research, Friedman test and for comparison of indicators and components of the research, nonparametric Kruskal-Wallis test are used. The proposed study designs a questionnaire and The questionnaire and distributes it among some nurses in obstetrics and anesthesiology department and among supervisors. Cronbach's alpha is also employed for determining the reliability in this study. The results indicate that working conditions as well as employees' mental health are in good conditions, the employees with higher levels of mental health have higher readiness to deal with potential crises, and the relationship between agility of hospitals and their strategic readiness for dealing with crises is confirmed.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".