فهرست مطالب قائم قیروانی

The purpose of this research is to provide a model of factors affecting smart governance in the country. The research method is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of its implementation, and descriptive-survey type in terms of data collection. The statistical population in the qualitative section includes 28 university experts 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 SmartPLS 3 software was used in the quantitative part of factor analysis, and 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.

The current research aims to provide a smart governance model with a focus on the development and training of human resources in the public sector. The research method is applicable according to the purpose, and mixed (qualitative-quantitative) according to the type of data. The statistical population in the qualitative part of the research consisted of 15 academic experts and experts in the field of information and communication technology in the Ministry of Interior and managers of the South Khorasan Governorate who were familiar with the subject, which was selected in a non-probabilistic and judgmental way, and the required information was collected from them with the method of content analyzing. The statistical community in the quantitative part of the research includes managers and experts working in the management and planning department of administrative automation planning in the number of 246 people, of which 150 people were selected as a sample using Cochran's formula. Further, in line with the validation of the research model, a research questionnaire was designed and distributed in a stratified random method among 150 managers and experts working in the management and planning department of administrative automation. Smart PLS 2 software was used in order to analyze the data. The results showed that all the components of smart governance in the public sector were identified and their significance was confirmed in the research; and by examining themes, concepts and quantitative and qualitative research; the smart governance model was explained with a focus on the development and training of human resources in the public sector.