Prediction of Digital Governance in the Direction of Urban Smartness with Sustainability Approach (Case Study: Tehran)

Subject Areas : Journal of Computer & Robotics

Bahram  Parvin ¹ (Department of Information Technology Management , Science and Research Branch, Islamic Azad University, Tehran, Iran)
Ali  Shayan ² (Department of Information Technology Management , Tarbiat Modares University,Tehran,Iran)
Alireza  Poorebrahimi ³ (Department of Industrial Management, Karaj Branch, Islamic Azad University, Alborz, Iran)
Reza  Radfar ⁴ (Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran)

Received: 2023-06-05 Accepted : 2023-09-20 Published : 2023-10-01

Keywords: Sustainability, Scenario, Urban smartness, Digital governance, environmental drivers,

Abstract :

Objectives: In this research, the researchers seek to present a mechanism for digital governance foresight in the direction of urban smartness with a sustainability approach based on scenario writing in the city of Tehran.Tools and methods:The research method is mixed in terms of how to check the data; Because it uses both quantitative research strategies (in expert data) and qualitative method strategy (in interview content analysis). In terms of the nature of the data, the current research uses both quantitative and qualitative methods. This article is included in basic-applied research. Because the research is exploratory and its main purpose is to identify the environmental drivers related to the subject of the research, therefore the research is of a fundamental type; At the same time, its achievements are included as a benchmark for urban management, especially relevant organizations including the municipality, so it is also considered practical. The statistical population of the research includes elites, managers, and senior experts, whose opinions can be used in the field of digital governance and urban smartness with a sustainable approach.Finding :Based on the results, the first scenarios in the areas of intelligence, participation,‌ ‌transparency, structural arrangements, -integration, culture and stabilization of the best scenario and the sixth scenario, and to some extent scenario 5, the worst possible scenarios are the worst. The second to fourth scenarios are based on the least changes in the main factors and showed improvement in one factor and in one factor the regression was shown. Resulting :‌The results showed that capacity-building to create the right to access information, increase law-abiding, discipline urban management mechanisms, and strengthen internal platforms for networking‌ and securing information in line with urban intelligence can be implemented ‌through the implementation ‌of digital governance requirements.