Validation of the Leadership Style Selection Model Through Neuroscience-based Leadership Considering Emotional Intelligence in the Municipalities of the Country’s Metropolises
Keywords:
Validation, Leadership Style, Neuroscience-Based Leadership, Emotional Intelligence, Metropolitan Municipalities of the CountryAbstract
The purpose of this study was to validate a model for selecting leadership styles based on neuroscience, considering the role of emotional intelligence in the municipalities of the country’s metropolises. This research was applied in terms of purpose and descriptive-survey in terms of data collection method. The statistical population consisted of managers and experts working in metropolitan municipalities, from which a sample of 384 individuals was selected using stratified random sampling. The research instrument was a researcher-made questionnaire whose validity was confirmed by experts and whose reliability was verified using Cronbach's alpha and composite reliability. Data were analyzed using Structural Equation Modeling and PLS software. The findings showed that all model fit indices were at a desirable level and that the proposed model had acceptable validity. Emotional intelligence, with a path coefficient of 0.682, and internal factors, with a path coefficient of 0.723, had the highest positive impact on neuroscience-based leadership style. Furthermore, implementation barriers had a significant negative effect on the establishment of this leadership style, with a path coefficient of -0.425. Other variables, including implementation requirements, facilitating factors, implementation consequences, and implementation strategies, also had significant positive effects on the leadership style. This study demonstrated that integrating emotional intelligence and neuroscience can provide an innovative framework for developing effective leadership styles in public organizations.
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Copyright (c) 2025 Hossein Poursoltaniyan (Author); Hossein Ganjinia (Corresponding author); Mohammad Reza Azadehdel (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
