Designing a competency model for the succession of nursing managers, using the Fuzzy Inference System
Background & Aim: Identifying competencies is fundamental for effective succession planning. Studies show that achieving a suitable succession planning model for mid-level nursing managers/supervisors can be helpful in achieving the desired goals of top-level nursing managers/matrons. Thus, thi...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2024-11-01
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| Series: | Nursing Practice Today |
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| Online Access: | https://npt.tums.ac.ir/index.php/npt/article/view/3305 |
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| author | Marzieh Khorasani-Gerdehkouhi Seyed Mahmoud Taheri Mohammad Ali Cheraghi |
| author_facet | Marzieh Khorasani-Gerdehkouhi Seyed Mahmoud Taheri Mohammad Ali Cheraghi |
| author_sort | Marzieh Khorasani-Gerdehkouhi |
| collection | DOAJ |
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Background & Aim: Identifying competencies is fundamental for effective succession planning. Studies show that achieving a suitable succession planning model for mid-level nursing managers/supervisors can be helpful in achieving the desired goals of top-level nursing managers/matrons. Thus, this study aimed to design a competency model for the succession of mid-level nursing managers from the perspective of top-level nursing managers using the Fuzzy Inference System.
Methods & Materials: This health services management research was conducted during 2020-2021. Participants in this study included top-level nursing managers/matrons working in the hospitals affiliated with the Tehran University of Medical Sciences. A census sampling method was used in this study with 14 matrons participating as experts. A three-level Fuzzy Inference System was designed by a competency model for mid-level nursing managers/supervisors, using the previous study. Input and output variables were defined, and fuzzy questionnaires were designed using pair-wise comparison matrices to gather expert opinions on fuzzy rules. These rules were analyzed using MATLAB (R 2019 b) software to compare the effect of each criterion on other levels.
Results: The results showed that managerial experience, equipment management, emotional intelligence, influence and impact on others, self-confidence, and strategic thinking in the first Fuzzy Inference System level, as well as management abilities, influencing skills, and leading management development in the second level, were more influential. In the third- level, the perceptual, relational, and technical variables had higher priorities, respectively.
Conclusion: Senior managers could use the proposed model as a checklist/questionnaire to make strategic planning for the succession of nursing managers.
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| format | Article |
| id | doaj-art-1cb185a7622f4418a5e8997b6cb79312 |
| institution | Kabale University |
| issn | 2383-1154 2383-1162 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Nursing Practice Today |
| spelling | doaj-art-1cb185a7622f4418a5e8997b6cb793122025-02-09T09:09:27ZengTehran University of Medical SciencesNursing Practice Today2383-11542383-11622024-11-0112110.18502/npt.v12i1.17524Designing a competency model for the succession of nursing managers, using the Fuzzy Inference SystemMarzieh Khorasani-Gerdehkouhi0Seyed Mahmoud Taheri1Mohammad Ali Cheraghi2Department of Nursing Management, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, IranSchool of Engineering Science, College of Engineering, University of Tehran, Tehran, IranDepartment of Nursing Management, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran Background & Aim: Identifying competencies is fundamental for effective succession planning. Studies show that achieving a suitable succession planning model for mid-level nursing managers/supervisors can be helpful in achieving the desired goals of top-level nursing managers/matrons. Thus, this study aimed to design a competency model for the succession of mid-level nursing managers from the perspective of top-level nursing managers using the Fuzzy Inference System. Methods & Materials: This health services management research was conducted during 2020-2021. Participants in this study included top-level nursing managers/matrons working in the hospitals affiliated with the Tehran University of Medical Sciences. A census sampling method was used in this study with 14 matrons participating as experts. A three-level Fuzzy Inference System was designed by a competency model for mid-level nursing managers/supervisors, using the previous study. Input and output variables were defined, and fuzzy questionnaires were designed using pair-wise comparison matrices to gather expert opinions on fuzzy rules. These rules were analyzed using MATLAB (R 2019 b) software to compare the effect of each criterion on other levels. Results: The results showed that managerial experience, equipment management, emotional intelligence, influence and impact on others, self-confidence, and strategic thinking in the first Fuzzy Inference System level, as well as management abilities, influencing skills, and leading management development in the second level, were more influential. In the third- level, the perceptual, relational, and technical variables had higher priorities, respectively. Conclusion: Senior managers could use the proposed model as a checklist/questionnaire to make strategic planning for the succession of nursing managers. https://npt.tums.ac.ir/index.php/npt/article/view/3305succession planning; competency; nurse administrators; fuzzy logic |
| spellingShingle | Marzieh Khorasani-Gerdehkouhi Seyed Mahmoud Taheri Mohammad Ali Cheraghi Designing a competency model for the succession of nursing managers, using the Fuzzy Inference System Nursing Practice Today succession planning; competency; nurse administrators; fuzzy logic |
| title | Designing a competency model for the succession of nursing managers, using the Fuzzy Inference System |
| title_full | Designing a competency model for the succession of nursing managers, using the Fuzzy Inference System |
| title_fullStr | Designing a competency model for the succession of nursing managers, using the Fuzzy Inference System |
| title_full_unstemmed | Designing a competency model for the succession of nursing managers, using the Fuzzy Inference System |
| title_short | Designing a competency model for the succession of nursing managers, using the Fuzzy Inference System |
| title_sort | designing a competency model for the succession of nursing managers using the fuzzy inference system |
| topic | succession planning; competency; nurse administrators; fuzzy logic |
| url | https://npt.tums.ac.ir/index.php/npt/article/view/3305 |
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