Designing a pure talent management model in the growth centers of technological units of Islamic Azad University with the foundation’s data approach

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Year : June 29, 2024 at 5:32 pm | [if 1553 equals=””] Volume :01 [else] Volume :01[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : 01 | Page : –

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Morteza Hazrati, Sevda Sheikhi Lisar, Mohammad Taghipour

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  1. Assistant Professor,, Master student, Assistant Professor Department of Public Administration, Bandar Anzali Branch, Islamic Azad University, Gilan, Iran, 2 Master’s student in business management, strategy, Payam Noor University,, Department of Industrial Engineering, North Tehran Branch, Islamic Azad University, Gilan, Tehran, Tehran Iran, Iran, Iran
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Abstract

nTalent management is one of the management fields that has experienced the greatest growth in the last two decades. Due to its competitive nature, for the first time the concept of talent management was proposed in private organizations and large multinational companies and was widely welcomed. Therefore, the main goal of this research is to design a lean talent management model in Islamic Azad University technology development centers with a foundation data approach. Since the current research seeks to design a lean talent management model in Islamic Azad University technology development centers with a foundation data approach and wants to provide reliable guidelines to policy makers to take corrective measures, it is considered an applied research. On the other hand, considering the increase in knowledge resulting from the design of the pure talent management model in the growth centers of technological units of Islamic Azad University with the foundation data approach, this research also has a fundamental orientation. Considering that the research implementation strategy is of a qualitative type, that is why the approach of this dissertation is an inductive approach. Since the current research is considered among qualitative researches, qualitative research strategies are also used in its conduct. The qualitative strategy used in the first stage of the research is grounded theory. The participants in this research are the heads of the growth centers of technology units of Azad University. In order to conduct sampling in the first stage of the research, theoretical sampling was used and 10 people were selected as a sample. At the end of the qualitative section, a model was designed using the foundation data approach. In the quantitative section, the research hypotheses were tested using structural equation modeling, and all of them were confirmed

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Keywords: Pure talent management, Azad University, Technology unit growth center, Foundation data theory

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Sustainability(ijsu)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Sustainability(ijsu)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article: Morteza Hazrati, Sevda Sheikhi Lisar, Mohammad Taghipour. Designing a pure talent management model in the growth centers of technological units of Islamic Azad University with the foundation’s data approach. International Journal of Sustainability. June 29, 2024; 01(01):-.

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How to cite this URL: Morteza Hazrati, Sevda Sheikhi Lisar, Mohammad Taghipour. Designing a pure talent management model in the growth centers of technological units of Islamic Azad University with the foundation’s data approach. International Journal of Sustainability. June 29, 2024; 01(01):-. Available from: https://journals.stmjournals.com/ijsu/article=June 29, 2024/view=0

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References

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Volume 01
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 01
Received May 4, 2024
Accepted June 18, 2024
Published June 29, 2024

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