جواد کیهان

Objectives: The present study aimed to investigate the relationship between active work behaviors, transformational leadership style, and work engagement of vocational school teachers with the mediating role of innovation culture using Structural Equation Modeling(SEM). Methods & Materials: This research is applied and correlational. The study population consisted of teachers of vocational school in Urmia city during the academic year 2021-2022, totaling 309 individuals. A sample of 200 teachers was selected using stratified random sampling and Cochran's formula. The data were collected using the Zopiatis et al. work engagement questionnaire (2014), Tornau and Ferse's active work behaviors scale (2013), Bass and Avolio's transformational leadership style scale (1995) and Dobni's innovation culture scale (2008). The validity and reliability of the instruments were confirmed. Structural equation modeling (SEM) was used to analyze the data using SPSS and AMOS24 software. Results: In this study, a model of relevant variables affecting work engagement was examined. The findings showed that innovation culture and active job behaviors have a direct, positive, and significant effect on work engagement. The direct effect of active job behaviors, transformational leadership style on innovation culture is positive and significant. Moreover, the mediating roles of innovation culture on work engagement were confirmed. Active job behaviors, transformational leadership style, affect work engagement through the mediating variable of positive and meaningful innovation culture. Conclusions:The findings highlighted the importance and role of active job behaviors and transformational leadership style in increasing work engagement of vocational school’s teachers  through innovation culture

Purpose: this study was conducted aimed to provide a knowledge management model for the branches of the Islamic Azad University of West Azerbaijan Province. Methodology: The present study was applied in terms of aim and quantitatively correlated in terms of implementation method. The study population was 654 faculty members of the Islamic Azad University of West Azerbaijan Province during the academic years 2020-21. The sample size was estimated n = 243 based on Cochran's formula who were selected by cluster sampling method with respect to gender ratio and scientific rank. The data were collected by a researcher-made questionnaire (74 items), content validity of which was confirmed by experts and its reliability was calculated by Cronbach's alpha of 0.90. Exploratory factor analysis and structural equation modeling by SPSS-23 and LISREL-8.8 software were used for data analysis. Findings: The results of factor analysis showed that knowledge management with eight factors of infrastructure and information technology, knowledge management processes, organizational structure and setting, intellectual and innovative capital, human resources and training, knowledge leadership, and organizational management and culture explained 74% of the total variance of knowledge management. The results of structural equation modeling showed that the knowledge management model had a good fit and the eight factors had a direct and significant effect on knowledge management (P <0.05). Conclusion: According to the study results, planning to improve knowledge management through factors o infrastructure and information technology factors, knowledge management processes, organizational structure and setting, intellectual and innovative capital, human resources and training, knowledge leadership, and organizational management and culture is essential. For this purpose, the use of training workshops can be effective.