Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method
Abstract This study aims to assess organizational resilience within medical alliances using the analytic hierarchy process (AHP) method, identify key factors, and improve their performance. It developed a model of organizational resilience factors for medical alliances, including 5 first-level sub-c...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-11994-9 |
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| Summary: | Abstract This study aims to assess organizational resilience within medical alliances using the analytic hierarchy process (AHP) method, identify key factors, and improve their performance. It developed a model of organizational resilience factors for medical alliances, including 5 first-level sub-criteria, 15 second-level sub-criteria, and 43 third-level sub-criteria based on literature reviews and expert assessments. Nineteen experts from universities, health commissions, centers for disease control and preventions, and hospitals, including both management and technical specialists, were invited. AHP was utilized to calculate and prioritize the weights for each criterion of organizational resilience. A4 Integrated and A2 Self-regulating were identified as the key first-level sub-criteria for organizational resilience among medical alliances. In the third-level sub-criteria, the top three most important factors were C10 Leadership at the Decision-Making Level of the Medical Alliance (0.050), C29 Funds of the Medical Alliance Jointly Negotiated and Allocated by the Township Hospital and Each Branch Hospital (0.048), and C33 Integration of Medical and Preventive Services in the Medical Alliance (0.041). Sensitivity analysis was also conducted to check the stability of our results. In conclusion, this study offers a comprehensive evaluation tool for assessing the organizational resilience of medical alliances. It suggests that enhancing integration and self-regulation can improve both the operational effectiveness and service quality of medical alliances. |
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| ISSN: | 2045-2322 |