Organizational Entrepreneurship and Administrators of Hospitals: Case Study of Iran
Bibliographic record
Abstract
Due to rapid changes of technology and scientific advances in health systems and need for fast planning in health care, entrepreneurial spirit among employers and employees is a crucial element. According to the field of entrepreneurship research has not been solved and where learning and innovation for healthcare organizations due to the nature of the work required. This study aims to examine the entrepreneurial activities within the hospitals affiliated to Tehran University of Medical Sciences, Iran. To achieve the aim of the study, a questionnaire containing 29 items regarding the areas of innovation, creative behavior, flexibility, empowerment, rewarding systems and the management support was distributed among the hospitals' managers. Establishment of a culture of entrepreneurship in healthcare organizations led to the development unit controlled, changing the culture of the hospital. The analysis of the data showed that the majority of the managers agreed with all five areas of entrepreneurship namely the existence of innovation and innovative behavior, flexibility, decision making, rewarding and encouraging system, as well as management supportive system of personnel's new ideas. In fact, the managers generally had positive attitude towards entrepreneurship in their organizations The Pearson correlation test also showed that there is a significant relationship between the areas of entrepreneurship and the managers' age as well as their working experience (P<0.05). Entrepreneurial activities in healthcare can be improved through providing a suitable environment, adjusting reward and encouragement systems, giving more authority to subordinates, promoting awareness and education, and mobilizing managers to attract appropriate opportunities for organization. Further active involvement of employees, more stable in front of changes and increased ability managers to capture opportunities in domestic and foreign situation.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".