Identification of talent management attributes in the Customs Organization of Iran (mixed method)
Subject Areas : Educational Sciencemorad khoshdel mofidi 1 , mohamadreza bagherzade 2 , asadolah mehrara 3
1 - PhD Student in Human Resource Management, Department of Public Management, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran
2 - Assistant Professor Ghaemshahr Branch, Islamic Azad University, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran
3 - Assistant Professor Ghaemshahr Branch, Islamic Azad University, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran
Keywords: Customs, Competitive Advantage, fuzzy Delphi, Qualitative study, Talent Management Indicators,
Abstract :
Today, talent management development is one of the most important business elements and one of the key components of maintaining a sustainable competitive advantage in organizations. Therefore, in this leading research, the purpose of this research is to present a comprehensive model of talent management for Customs Organization. In order to carry out this research, due to the need to extract custom and specialized characteristics of the Customs Organization, a qualitative research data base was also used after categorizing the existing theoretical bases and empirical background. We obtained 139 components by using snowball sampling method and analyzing them, using the Delphi-Fuzzy method for screening by experts. Targeted Approach 20 Experts Selected After 4 Fuzzy Steps, 54 Indicators Remain Adapted to Present Model and Classification of Dr. Mirzaei Ahrangani's Trilogy Pattern, which we presented in four layers by adding another dimension for better understanding. . The model was distributed to more than 400 customs staff at the Customs Administration through simple random sampling, with 367 returned samples evaluated and approved. Through Hierarchical Analysis (AHP) and Expert Chase software as follows: 1. Cognitive / Perceptual (0.467) 2. Structural / Institutional (0.227) 3. Environmental / Situational (0.16) 4. Behavioral / Functional (0.095) rated.
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