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        1 - Exploring the antecedents and consequences of smart good governance using the fuzzy Delphi method (FDM)
        Seyed Abdolrasoul Hosseini Mohammad Ghasemi Nour Mohammad  Yaghubi Habibollah Salarzehi
        Background: The present study aimed to identify the antecedents and consequences of smart good governance using the fuzzy Delphi method (FDM). Method: The present study is a mixed-method study that was conducted using a deductive-inductive approach. It is also an appli More
        Background: The present study aimed to identify the antecedents and consequences of smart good governance using the fuzzy Delphi method (FDM). Method: The present study is a mixed-method study that was conducted using a deductive-inductive approach. It is also an applied study in terms of its objectives and a descriptive survey study in terms of the design and methodology. The research population included all experts in the field of governance. Accordingly, 26 experts were selected based on the principle of theoretical adequacy and using purposive sampling. In the qualitative part of the study, semi-structured interviews were conducted to collect data. In addition, in the quantitative part, a Researcher made questionnaire was used to collect the data. The validity and reliability of the questionnaire were confirmed via content validity and test-retest method. In the qualitative part, the data collected from the interviews were analyzed using ATLAS.ti software and the indexing method. Besides, in the quantitative part of the study, the antecedents and consequences of smart good governance were ranked using the fuzzy Delphi method (FDM). Results: A comparison of the precedents of smart good governance showed that smart technology and data, electronic and smart interaction, rule of law, competent and committed authorities, cyber and smart security, good smart society and citizens, smart management and executive leadership, e-architecture, smart e-government, the quality of laws and regulations, transparent governance, democratic and smart infrastructure, strategies and political stability, the strengthening of civil society, and public awareness were ranked as the most important factors, respectively. It was also shown that efficiency and effectiveness, entrepreneurship, improving quality of life and sustainable development, ethics and morality, equality and inclusive justice, downsizing, successful crisis management, immediate response to challenges, increasing closeness and compassion between government and people, reducing corruption, technological knowledge, reducing work time and administrative processes, and eliminating bureaucracy were the most important consequences of smart good government, respectively. The insights from this study can contribute to establishing smart good governance. Manuscript profile
      • Open Access Article

        2 - Drivers, Obstacles and consequences of digital entrepreneurship in Iran's road freight transportation industry
        Azam sadtat Mortazavi kahangi Parviz Saketi Javad Mehrabi
        The purpose of this research is to identify the drivers, obstacles and consequences of digital entrepreneurship in Iran's road freight transportation industry. The statistical society of this research in the qualitative part was made up of 20 experts in this field who w More
        The purpose of this research is to identify the drivers, obstacles and consequences of digital entrepreneurship in Iran's road freight transportation industry. The statistical society of this research in the qualitative part was made up of 20 experts in this field who were selected using theoretical saturation. In the quantitative part, using Cochran's formula and cluster sampling method, 170 employees of this industry were selected as samples. In order to collect data, a semi-structured interview was used in the qualitative part and a researcher-made questionnaire was used in the quantitative part, whose validity and reliability were checked and confirmed. In the data analysis, systematic literature review and coding and Maxqda software were used in the qualitative part, and inferential statistics and SPSS and Lisrel software were used in the quantitative part. Finally, 9 indicators in 4 driver factors, 11 indicators in 3 obstacle factors and 55 indicators in 8 consequence categories were extracted and prioritized using factor analysis. The result of this research shows that the political component is a priority as a driver and political obstacles are a priority as an obstacle. Therefore, the role of the government in this field is very important. Manuscript profile