Future of Work and Digital Management Journal 3 Serial Number 9 2025 09 29 Fitting the Human Resources Sustainability Evaluation Model in Tejarat Bank Using Structural Equation Modeling Fitting the Human Resources Sustainability Evaluation Model in Tejarat Bank Using Structural Equation Modeling 1 14 10.61838/fwdmj.103 EN Journal Article 2025 07 01 <table> <tbody> <tr> <td> <p>This study addresses the fitting of a human resources sustainability evaluation model in Tejarat Bank using structural equation modeling. The research is applied in terms of purpose and descriptive-analytical in nature. Data collection was conducted through a field method (questionnaire). The statistical population consisted of Tejarat Bank employees in the southwest branches of Tehran. Given the total number of employees (815), the Cochran sampling method was applied, resulting in a sample size of 261 participants. According to the results of the model estimation, the outcome variable includes seven components: improvement of psychological status, enhancement of employee performance, quality improvement of services, organizational dynamism and agility, organizational vitality, organizational citizenship behaviors, and development of social capital. The contextual conditions variable includes six components: workplace environment, organizational culture, organizational climate, managerial characteristics, job conditions, and rules and regulations. The intervening conditions variable includes four components: executive and legal barriers, informational and motivational barriers, social conditions, and political and economic conditions. The multicollinearity test was conducted using the Variance Inflation Factor (VIF) index, and the results indicated that none of the model variables had a VIF greater than 5. Therefore, no problematic multicollinearity was observed among the variables. This finding is of significant importance since excessive multicollinearity can distort regression results. The results regarding the validity and reliability of the model variables were also examined. Cronbach’s alpha (to assess reliability) and Average Variance Extracted (AVE) (to assess convergent validity) were used. All Cronbach’s alpha values were above 0.7, and the AVE values were greater than 0.5, indicating the desirable reliability and validity of the model. Furthermore, by examining composite reliability (CR) and comparing it with AVE, the model was shown to possess sufficient credibility. To evaluate discriminant validity, the Fornell–Larcker criterion and the Heterotrait–Monotrait ratio (HTMT) were applied. In the Fornell–Larcker method, all values on the main diagonal of the correlation matrix were greater than the other correlation coefficients, confirming appropriate discriminant validity. Likewise, in the HTMT method, the obtained values were below 0.9, confirming discriminant validity of the model. For assessing the fit of the structural model, the coefficient of determination (R²) was used. The R² value demonstrated the desirable fit of the model. The results showed that 31 percent of the variance in the dependent variables was explained by the independent and mediating variables. This proportion appears to be suitable for the proposed model.</p> </td> </tr> </tbody> </table> https://www.journalfwdmj.com/index.php/fwdmj/article/download/103/99