Document Type : Original Article (Quantified)
Authors
1 PhD student in public administration, Department of Management, Sirjan Branch, Islamic Azad University, Sirjan, Iran
2 Assistant Professor, Department of Management, Payam Noor University, Tehran, Iran
3 Master, Department of Management, Sirjan Branch, Islamic Azad University, Sirjan, Iran.
Abstract
The purpose of this research is to provide a model of factors affecting smart governance in the country. According to its purpose, the research method is practical and in terms of its implementation, it is mixed (qualitative-quantitative) and in terms of data collection, it is descriptive-survey type. The statistical population in the qualitative section includes 28 university experts who are familiar with the subject, who were selected in a non-probability and judgmental manner. The statistical population in the quantitative part includes all the managers and experts working in South Khorasan governorate and Birjand city governorate of planning administration equal to 420 people, and the sample number was selected using Cochran's formula of 200 people. The sampling method in this section was done in a random stratified manner. A semi-structured interview and a researcher-made questionnaire taken from the qualitative section were used to collect information. In the qualitative part, the fuzzy Delphi method was used, and the data from the interviews were coded and analyzed in the three main stages of open coding, axial coding, and selective coding, and in the quantitative part, factor analysis was used using SmartPLS 3 software, and in order to SPSS 22 software was used for analysis. The results of the research in the qualitative part showed that three categories of background factors (equipment and infrastructure, required resources, information and communication technology, statistics and intelligent information and formation platform), content (cyber security, strategy formulation, intelligent management and intelligent planning) and Structural (smart readiness, smart architecture and smart administration) are effective on the formation of smart governance in the country. The results of the quantitative section showed that the model is of good quality.
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