Designing the suffix model of managers' competence based on emotional intelligence: a metacombination approach

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, Department of Public Administration, Mohaghegh Ardabili University, Ardabil, Iran

10.22098/ael.2023.13080.1289

Abstract

Abstract

The current research was conducted with the aim of designing the model of competence suffixes of insurance industry managers based on emotional intelligence and using a meta-composite qualitative approach. The current research was carried out in the framework of qualitative approach and using the research synthesis method with the seven-step approach of Sandlowski and Barroso (2007). The statistical population under study includes all Persian and English researches and studies published in the field of the consequences of managers' competence between the years 1390 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 20 articles that met the criteria for inclusion in the study. were analyzed using the three-stage coding method (open, central, selective) by MaxQDA 2020 software. Based on the results of data analysis, 75 open codes were identified for data collection, which were categorized into 3 main categories and 11 subcategories. The results showed that individual, organizational and environmental consequences form the posterior model of managers' competence based on emotional intelligence. Therefore, identifying the consequences of the competence of insurance managers is of particular importance due to the importance and sensitivity of their activities and the need to adopt a comprehensive and coherent approach in this field.

Keywords

Main Subjects