Identifying the operational attributes of talent management in universities (Case study: universities of Golestan province)

Document Type : Original Article

Authors

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

Abstract

Successful organizations strive to attract and retain talent that is essential to their survival by applying appropriate procedures, programs, and strategies. In this regard, successful organizations are those that attract and hire better talented people, in other words, develop talent management. The purpose of this study is to identify the operational attributes of talent management in universities. The research method applied is, descriptive-analytical research method and the statistical population of the present study were faculty members of Golestan University of Medical Sciences and Islamic Azad University of Gorgan unit. A total of 70 questionnaires were distributed among the sample population in 2015. A research questionnaire was used to collect research data, which was confirmed by Cronbach's alpha of more than 70%. Data were processed in SPSS software and related statistical tests such as KMO and bartlet were used for analysis. In the present study, faculty members identified the attributes of talent management including talent acquisition, talent development, individual factors, and talent retention, which includes evaluation criteria to achieve these attributes. Finally, the realization of talent management in universities. Based on the findings of the present study, according to the factors of talent acquisition, talent development, individual factors and retention in talent management and emphasis on the role of some attributes, especially the attribute of salaries and benefits, in maintaining the perspective of university faculty members. Planning and transparent policy-making in this regard seems to be necessary for the success of universities and moving towards the development of the country's programs and the programs of the second step of the revolution.

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Volume 2, Issue 4
December 2019
Pages 59-72
  • Receive Date: 19 August 2019
  • Revise Date: 15 October 2019
  • Accept Date: 06 November 2019