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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Main Authors: behnam golshahi, Abbasli Rastgar, Davood Feiz, Azim Zarei
Format: Article
Language:fas
Published: Shahid Chamran University Of Ahvaz 2022-11-01
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
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institution Kabale University
issn 2538-3205
2588-6444
language fas
publishDate 2022-11-01
publisher Shahid Chamran University Of Ahvaz
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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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AT abbaslirastgar architectureofmodelforeliteslifecycleoptimizationinirancmandssmhybridalgorithmmethodology
AT davoodfeiz architectureofmodelforeliteslifecycleoptimizationinirancmandssmhybridalgorithmmethodology
AT azimzarei architectureofmodelforeliteslifecycleoptimizationinirancmandssmhybridalgorithmmethodology