An Empirical Examination of the Emotional Capital Model in Bank Saderat (Kerman Province): A Structural Equation Modeling Approach

Document Type : Original Article (Quantified)

Authors

1 Department of Public Administration, Ke.C., Islamic Azad University, Kerman, Iran.

2 Assistant Professor, Department of Management, Faculty of Literature and Humanities, Kerman Branch, Islamic Azad University of Kerman, Iran

3 Department of Public Management, Ke.C., Islamic Azad University, Kerman, Iran

Abstract
The objective of this study is to empirically test the Emotional Capital Model at Bank Saderat in Kerman province using a structural equation modeling (SEM) approach. In terms of purpose, this is an applied research study; in terms of methodology, it is quantitative and follows a descriptive-correlational design. The statistical population consists of 384 employees of Bank Saderat in Kerman province. Given the finite nature of the population, a census approach was employed, with all members selected via simple random sampling. The data collection tool was a questionnaire, with validity and reliability confirmed at 0.62 and 0.94, respectively. For data analysis, structural equation modeling (SEM) was performed using SmartPLS 3 software.The findings indicate that the emotional capital of Bank Saderat employees in Kerman province is a coherent, multidimensional construct that can be effectively explained within the framework of an SEM model. The analysis confirms a favorable fit for the conceptual model and reveals significant relationships among the dimensions of emotional capital. Specifically, components such as emotional awareness, emotional regulation, empathy, emotional self-efficacy, and the quality of emotional relationships play a decisive role in explaining the emotional capital of the employees. Furthermore, the model exhibits a strong goodness-of-fit (0.50), and all factor loadings exceed 0.40, demonstrating the validity and suitability of the proposed model.

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  • Receive Date 06 July 2026
  • Revise Date 18 August 2026
  • Accept Date 10 September 2026