A B S T R A C T
This study aims to analyze the key factors influencing the realization of smart urban governance. Methodologically, the research is applied in purpose and adopts a descriptive–analytical approach. Data were collected using both documentary (library) and field methods. The study population comprised experts, practitioners, and university academics specializing in urban planning and urban development. The sample size was determined based on the number of observable variables: given that the questionnaire contained 20 items, a ratio of five respondents per item was adopted, resulting in a total of 100 participants. The reliability of the questionnaire was verified through the calculation of Cronbach’s alpha and the composite reliability coefficient (CR). Instrument validity was assessed in two stages: (1) face and content validity, confirmed through expert evaluation, and (2) discriminant validity, established by calculating the average variance extracted (AVE). Structural equation modeling (SEM) was employed using the LISREL software to analyze the research data. The findings indicate that e-service management (β = 0.15), e-participation (β = 0.26), e-service quality (β = 0.57), and e-learning (β = 0.17) exert positive and statistically significant effects on smart urban governance.

Extended Abstract
Introduction
In recent years, Tehran’s urban management system has increasingly prioritized the principles of smart cities and intelligent urban governance, taking notable steps toward their implementation. However, insufficient citizen participation and the disconnect between the city’s management system and the civic sphere have received limited attention. The potential of smart urban governance lies in its ability to build a robust infrastructure for interaction and communication between municipal authorities and citizens.Located in the city’s historic core, District 12 of Tehran performs multiple urban functions, including residential, commercial, service, and tourism activities, and therefore requires effective platforms for citizen engagement and coordinated urban management. The district’s extensive dilapidated urban fabric, high land values, and persistent challenges such as environmental degradation and traffic congestion underscore the need for participatory and collaborative approaches to development. In this context, the capacities inherent in smart urban governance can address many of the district’s challenges while fostering citizen cooperation and active participation. Accordingly, this study seeks to answer the following central question: What factors influence the realization of smart urban governance in Tehran’s District 12?
 
Methodology
This study is applied in purpose and adopts a descriptive–analytical approach. Data were collected through both documentary (library-based) and field methods. The study population comprised experts, practitioners, and university faculty members specializing in urban planning and urban development.The sample size was determined based on the number of observable variables, following the rule that the sample should range between five and fifteen times the number of questionnaire items (5Q < N < 15Q). Given that the questionnaire comprised 20 items, a ratio of five respondents per item was applied, resulting in a final sample size of 100 participants. A simple random sampling technique was employed. Questionnaire validity was examined in two stages: (1) face and content validity were confirmed through expert review, and (2) discriminant validity was established by calculating the Average Variance Extracted (AVE) index. Data analysis was conducted using SPSS and LISREL software packages.
 
Result and Discussion
The analysis revealed that e-service management has a significant positive impact on smart urban governance, with a path coefficient (β) of 0.15. The corresponding t-value (4.48) exceeds the critical threshold of 1.96, and the significance level (p = 0.04) is below the 0.05 criterion, confirming the statistical validity of this relationship. E-participation also exerts a positive and statistically significant influence on smart urban governance, with a path coefficient of 0.26. The t-value (3.30) surpasses the 1.96 threshold, and the p-value (0.02) indicates significance at the 95% confidence level. Among the examined variables, e-service quality exhibited the strongest effect, with a path coefficient of 0.57. The t-value (4.90) far exceeds the critical value, and the p-value (0.01) further supports a positive and significant association with smart urban governance. E-learning likewise demonstrated a positive and significant impact on smart urban governance, with a path coefficient of 0.17. The t-value (2.63) is greater than 1.96, and the p-value (0.04) confirms the significance of this relationship. Overall, the findings suggest that improvements in e-service management, e-participation, e-service quality, and e-learning collectively contribute to the effective realization of smart urban governance in the study area.
 
Conclusion
Smart governance constitutes a fundamental pillar in the realization of smart cities. The achievement of a sustainable and livable city, where citizens’ needs and services are met at an optimal level, depends largely on the effective realization of a smart urban governance model. This study aimed to analyze the key factors influencing the realization of smart urban governance. The results indicate that e-service management, e-participation, e-service quality, and e-learning exert significant effects on smart urban governance. Among these variables, e-participation demonstrated the greatest impact, with a path coefficient of 0.57. E-participation represents the backbone and animating principle of smart governance. Without meaningful citizen involvement, a city may deploy technology to become a “digital city,” yet it will fall short of embodying a truly “smart city,” where governance is participatory, inclusive, and adaptive. E-participation is not merely a technological add-on; rather, it constitutes a paradigm shift that transforms hierarchical decision-making into an interactive, networked, and participatory system. A genuinely smart city is one in which technology serves as a catalyst for strengthening democracy, enhancing transparency, and empowering citizens to shape their collective future. Accordingly, investment in e-participation equates to investment in the very foundations of smart and sustainable urban governance. In the context of smart urban governance, education, soft infrastructure, and service quality constitute essential outcomes. Without sustained investment in the education of citizens, public employees, and stakeholders, even the most advanced technologies cannot ensure the provision of high-quality services. Conversely, without continuous improvement in service quality, educational initiatives will have limited impact. Ultimately, the success of a smart city rests on the intelligent integration of skilled human capital and advanced technologies to deliver equitable, high-quality, and sustainable urban services. This synergy constitutes the essence of smart urban governance.
 
Funding
There is no funding support.
 
Authors’ Contribution
The authors contributed equally to the conceptualization and writing of the article. All of the authors approved the content of the manuscript and agreed on all aspects of the work declaration of competing interest none.
 
Conflict of Interest
The authors declared no conflict of interest.
 
Acknowledgments
We are grateful to all the scientific consultants of this paper