Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology
Flourishing the knowledge-based economy, the elite community has been raised as a central driver at the organization level and even in the country. Therefore, in recent years, in order to increase the elite's effectiveness in the process of development of the country, the concept of optimizing...
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Shahid Chamran University Of Ahvaz
2022-11-01
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| Series: | توسعه اجتماعی |
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| Online Access: | https://qjsd.scu.ac.ir/article_16647_960ffdb600e3841fca266c24196d5fcb.pdf |
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| author | behnam golshahi Abbasli Rastgar Davood Feiz Azim Zarei |
| author_facet | behnam golshahi Abbasli Rastgar Davood Feiz Azim Zarei |
| author_sort | behnam golshahi |
| collection | DOAJ |
| description | Flourishing the knowledge-based economy, the elite community has been raised as a central driver at the organization level and even in the country. Therefore, in recent years, in order to increase the elite's effectiveness in the process of development of the country, the concept of optimizing the talent life cycle has emerged in the literature of human resource management. Accordingly, the present study aimed to provide a model of factors influencing the optimization of talent life cycle at the Iran National Elite Foundation (INEF), based on a study with developmental-applied approach. The statistical population of the research includes the scientific lasting faces of the country as well as senior managers of the National Elite Foundation. The statistical sample was selected through a purposeful judgment of 25 people. Data collection tools were library studies and semi-structured interviews with experts. Finally, based on the hybrid algorithm of the methodology of soft systems and cognitive mapping, a model of the factors contributing to the optimization of the talent life cycle is presented and then, by comparing the factors in thinking system (conceptual model) with real-world actions (INEF), it is suggested that structural, behavioral, and ground changes be made to optimize the talent lifecycle at the National Elite Foundation. |
| format | Article |
| id | doaj-art-5848a86eba4b4418bc47dfcecff6b7c0 |
| institution | Kabale University |
| issn | 2538-3205 2588-6444 |
| language | fas |
| publishDate | 2022-11-01 |
| publisher | Shahid Chamran University Of Ahvaz |
| record_format | Article |
| series | توسعه اجتماعی |
| spelling | doaj-art-5848a86eba4b4418bc47dfcecff6b7c02025-08-20T03:28:09ZfasShahid Chamran University Of Ahvazتوسعه اجتماعی2538-32052588-64442022-11-011719312010.22055/qjsd.2021.26786.174916647Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodologybehnam golshahi0Abbasli Rastgar1Davood Feiz2Azim Zarei3Assistant Professor in HRM, Command & Staff University, Tehran, IranProfessor Department of Management, Semnan University, Semnan, IranProfessor Department of Management, Semnan University, Semnan, IranProfessor Department of Management, Semnan University, Semnan, IranFlourishing the knowledge-based economy, the elite community has been raised as a central driver at the organization level and even in the country. Therefore, in recent years, in order to increase the elite's effectiveness in the process of development of the country, the concept of optimizing the talent life cycle has emerged in the literature of human resource management. Accordingly, the present study aimed to provide a model of factors influencing the optimization of talent life cycle at the Iran National Elite Foundation (INEF), based on a study with developmental-applied approach. The statistical population of the research includes the scientific lasting faces of the country as well as senior managers of the National Elite Foundation. The statistical sample was selected through a purposeful judgment of 25 people. Data collection tools were library studies and semi-structured interviews with experts. Finally, based on the hybrid algorithm of the methodology of soft systems and cognitive mapping, a model of the factors contributing to the optimization of the talent life cycle is presented and then, by comparing the factors in thinking system (conceptual model) with real-world actions (INEF), it is suggested that structural, behavioral, and ground changes be made to optimize the talent lifecycle at the National Elite Foundation.https://qjsd.scu.ac.ir/article_16647_960ffdb600e3841fca266c24196d5fcb.pdfelites lifecycleelite’s optimizationsoft system methodologycognitive mappinginef |
| spellingShingle | behnam golshahi Abbasli Rastgar Davood Feiz Azim Zarei Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology توسعه اجتماعی elites lifecycle elite’s optimization soft system methodology cognitive mapping inef |
| title | Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology |
| title_full | Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology |
| title_fullStr | Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology |
| title_full_unstemmed | Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology |
| title_short | Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology |
| title_sort | architecture of model for elites lifecycle optimization in iran cm and ssm hybrid algorithm methodology |
| topic | elites lifecycle elite’s optimization soft system methodology cognitive mapping inef |
| url | https://qjsd.scu.ac.ir/article_16647_960ffdb600e3841fca266c24196d5fcb.pdf |
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