International Journal of Nonlinear Analysis and Applications

Designing a hybrid model of talent management and organizational transparency in Iran veterinary organization

Document Type : Research Paper

Authors

Department of Management, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran

Abstract

Talent management and increasing the capabilities of employees in various organizational fields play an important role in the performance and behaviour of employees. The purpose of this research was to present to design of the combined model of talent management and organizational transparency in Iran's veterinary organization. The research method is descriptive and library method and It is practical in terms of purpose. The statistical population of the research is 25 experts from Iran's veterinary organization. Data collection was done through a researcher-made questionnaire with standard components, 8 main variables and sub-variables of structural modelling were tested and the validity and reliability of the variables were ensured through Cronbach's alpha. LISREL software was used to analyze the research data and ISM mathematical interactive relationships were used to stratify the variables. Based on the structural equation test, the research findings have shown that the final model of this research has 8 dimensions, and 46 components the relationships between the variables have been confirmed, and the main variables of talent management include four dimensions (talent attraction system, talent evaluation and discovery system, talent development and training system, talent retention system) and the dependent variable of organizational transparency includes four dimensions (participation, basic information, accountability, concealment) and at the end, it is suggested to develop and institutionalize this model in Iran veterinary organization, by promoting the talent management model and organizational transparency and to take action to realize Organizational goals.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 16, Issue 3
March 2025
Pages 273-283
  • Receive Date: 17 September 2023
  • Revise Date: 24 November 2023
  • Accept Date: 23 January 2024