Environmental dimensions and features affecting organizational entrepreneurship development in Iranian public hospitals
Bibliographic record
Abstract
One of the important issue regarding the study of change in the organizations is "organization's environment"; the territory in which an organization form and change during its life cycle. Among other factors, environmental dimensions and features are the important indices being used to estimate and understand the environment surrounding an organization. The main purpose of the present study was to identify the effective environmental factors (dimensions and features) on the organizational entrepreneurship in the Iranian Public hospitals. The sample contained 500 operating managers, supervisors, head nurses, nurses and head officers various affairs offices in hospitals such as affirmative action office and so on. A stratified random sampling technique was utilized to select the sample. The criteria for selection of the subjects were having at least a bachelor’s degree, and three years of working experience. The data was collected via a self-report questionnaire. The exploratory and confirmatory factor analyses were used to identify the environmental factors affecting organizational entrepreneurship's development in the Iranian public hospitals. The amount of KMO of environmental features was 83%, with p-value less than 0.05. The extracted factors explained 89 percent of the variance of environmental factors affecting organizational entrepreneurship's development in the Iranian public hospitals. The amounts of CFI, NFI, RFI and IFI for the fitted model were all above 0.99, GFI was 0.99, and RMSEA was 0.05 which all verified impact of environmental factor effect on the organizational entrepreneurship. The dimensions such as dynamism, complexity, munificence, struggle and their features in were observed in the external environment of Iran public hospitals, and they had direct and significant effect on organizational entrepreneurship. Therefore, the existing circumstances in the external environment of the stated hospital are ready for persuading, and generating motivation in employees and also leading hospital toward entrepreneurial action to encounter the existing challenges.
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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 | 0.000 | 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 | 0.002 |
| 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".