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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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-11994-9 |
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| author | Chi Zhou Weiming Cao Qunfang Huang Xiaoling Lin Jingchun Chen Yuxin Zheng Wanjing Li Zejun Wang Minmin Jiang |
| author_facet | Chi Zhou Weiming Cao Qunfang Huang Xiaoling Lin Jingchun Chen Yuxin Zheng Wanjing Li Zejun Wang Minmin Jiang |
| author_sort | Chi Zhou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-20ee1fa8e86a494c8a4c6d9ee816a35e |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-20ee1fa8e86a494c8a4c6d9ee816a35e2025-08-20T03:46:01ZengNature PortfolioScientific Reports2045-23222025-08-0115111210.1038/s41598-025-11994-9Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process methodChi Zhou0Weiming Cao1Qunfang Huang2Xiaoling Lin3Jingchun Chen4Yuxin Zheng5Wanjing Li6Zejun Wang7Minmin Jiang8School of Public Administration, Hangzhou Normal UniversityHealth Commission of Yunnan ProvinceSchool of Public Administration, Hangzhou Normal UniversitySchool of Public Administration, Hangzhou Normal UniversitySchool of Health Medicine, Guangzhou Huashang CollegeSchool of Public Administration, Hangzhou Normal UniversitySchool of Public Administration, Hangzhou Normal UniversityDepartment of Gastroenterology, Hangzhou Linping Hospital of Integrated Traditional Chinese and Western MedicineShulan International Medical College, Zhejiang Shuren UniversityAbstract 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.https://doi.org/10.1038/s41598-025-11994-9Organizational resilienceAnalytic hierarchy process method (AHP)Medical allianceKey factors |
| spellingShingle | Chi Zhou Weiming Cao Qunfang Huang Xiaoling Lin Jingchun Chen Yuxin Zheng Wanjing Li Zejun Wang Minmin Jiang Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method Scientific Reports Organizational resilience Analytic hierarchy process method (AHP) Medical alliance Key factors |
| title | Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method |
| title_full | Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method |
| title_fullStr | Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method |
| title_full_unstemmed | Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method |
| title_short | Identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method |
| title_sort | identifying key factors for organizational resilience among medical alliance using the analytic hierarchy process method |
| topic | Organizational resilience Analytic hierarchy process method (AHP) Medical alliance Key factors |
| url | https://doi.org/10.1038/s41598-025-11994-9 |
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