Identifying the competence components of managers with an emphasis on emotional intelligence: a qualitative approach

Articles in Press

Document Type : Original Article

Authors

1 PhD student, Department of Management, Astara Branch, Islamic Azad University, Astara, Iran.

2 Assistant Professor, Department of Management, Astara Branch, Islamic Azad University, Astara, Iran.

3 Associate Professor , University of Mohaghegh Ardabili, Ardabil, Iran.

Abstract

The present research was conducted with the aim of identifying the competence components of managers with an emphasis on emotional intelligence using a meta-composite qualitative approach. The current research was conducted in the framework of a qualitative approach and using the research synthesis method with the seven-step approach of Sandelowski and Barroso (2007). The statistical population under study includes all Persian and English researches and studies published in the field of personal development between 1385 and 1402. In this regard, the keywords related to the purpose of the research were searched and the articles and documents obtained were examined using the purposeful sampling method and according to the acceptance criteria, and finally 22 articles that met the inclusion criteria were analyzed using the three-stage coding method (open, central, selective) by MaxQDA 2020 software. Based on the results of data analysis, 88 open codes were identified for data collection, which were categorized into 3 main categories and 10 subcategories. The results showed that the individual, organizational and environmental components form the competence model of managers based on emotional intelligence. Therefore, special attention should be paid to the individual, organizational and environmental competences of the managers in the selection of managers for the insurance organization.

Keywords

Main Subjects

Applied Educational Leadership

Articles in Press, Accepted Manuscript
Available Online from 13 October 2024

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History

  • Receive Date: 21 January 2024
  • Revise Date: 04 February 2024
  • Accept Date: 23 January 2024

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