This study was conducted with the aim of designing and explaining the model of smart network governance in the urban management of North Khorasan municipalities. The research method of the present study is mixed and it is done with two types of qualitative and quantitative (mixed) approach. In the qualitative part of the research, in order to collect data, interview questions were developed. In the following, a researcher-made questionnaire with a 5-point Likert scale was used. The statistical population in the qualitative sections consisted of 15 qualified experts who were selected using a purposeful and non-probability sampling method and in-depth and semi-structured interviews were conducted with them. Also, the statistical population of the quantitative part and for validating the final model included 278 managers and urban management experts of North Khorasan municipalities. The first step of the current study is to identify the main and sub-categories of the research by using the foundation's qualitative data analysis method (the approach of editing interviews, summarizing them and interpreting concepts and words). MAXQDA software was used for qualitative analysis. Finally, using partial least squares technique and SMART PLS software, the presented model was validated. By extracting the main and sub-categories of the research using the results of qualitative data analysis of the foundation, the final model was presented. Based on the paradigm model of the research, it was determined that managerial factors, technical factors of smart network governance, transparency of urban management and participation of e-citizens have an effect on smart network governance. Smart network governance is effective on smart city management strategy. In this regard, smart urban services have a background role and the traditional urban management is also an intervening factor. In the end, smart urban management strategy leads to consequences such as environmental performance, economic performance and social performance and good urban governance.
Type of Study:
Research |
Subject:
Special Received: 2025/06/11 | Accepted: 2024/12/30 | Published: 2024/12/30 | ePublished: 2024/12/30