Designing a Substitute Model for Training Educational Managers with a Data-driven Approach: A Qualitative Research

Document Type : Qualitative Research Paper


1 University of Tehran, Tehran: Iran

2 Islamic Azad University, Mahabad Branch, Mahabad: Iran


If the educational system fulfills its mission properly, it will provide a favorable environment for cultural, economic, political, and social growth in society. A large part of the complexity and sensitivity of the education system goes back to the behavior of education managers. One of the challenges of human resource management in education is how to manage talent, succession, selection, and promotion of managers. Therefore, the present study was designed with the aim of developing a model of an alternative model for education managers with a data-based approach. For conducting the research, a qualitative approach of phenomenological type and grand theory method was used to conduct the research. The study population was all experts, professors, and senior managers in the field of human resources in education who were interviewed using purposive sampling with 18 experts. The research tool was a semi-structured interview. The coding method was used to analyze the qualitative findings. The results showed that "succession planning and talent management" as a central category, "succession planning, evaluation system, analysis of training gaps and staff development, and meritocracy and merit selection" as causal conditions, "Improving the human resource system, creating progress, creating a professional perspective and laying the groundwork for the implementation of a decent-oriented succession" as strategies, categories of "organizational culture of leadership development and facilities" as a platform, "organizational factors and "Legal barriers and problems" were introduced as intervening conditions, and succession can have positive individual and organizational consequences in education.


Volume 10, Issue 1
April 2022
Pages 81-100
  • Receive Date: 14 November 2020
  • Revise Date: 12 January 2021
  • Accept Date: 19 January 2022
  • First Publish Date: 28 March 2022