Exploratory Research on the Success Factors and Challenges of Smart City Projects


Natalia Kogan, Kyoung Jun Lee

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As urbanization and its consequences become the issue of modern cities, the concept of Smart City comes as the solution. Though a lot of researches on the topic is done, still no clear definition is given for both: Smart City itself and the factors of a successful Smart City. While most of the literature centers the role of ICT it is not a sufficient condition for a city to become Smart; the role of intellectual capital is underestimated. Using a collection of Smart City definitions across the time and providing concrete cases, this research seeks to bridge definition gaps and creates a tool for understanding Smart Cities. Drawing on the findings of several case studies, this research derives several explanatory factors. The citizen’s engagement and governance are identified as the two key success factors of Smart City Projects along with ICT and other factors as enablers. The research has purpose as follows: 1) To bridge definition gaps of the “Smart City” by defining the term “Smart City,” based on existing concepts and characteristic mechanisms across times.; 2) To develop an analytical tool for Smart City success factors through Explanatory Variables.; and 3) To identify major challenges and barriers of Smart City Projects implementations and to provide recommendations and solutions, based on existing governmental initiatives and pilot projects.The research contributes to the knowledge of smart cities and ICT integration for urbanization issues solution. By applying the findings of this research at the managerial level stakeholders may benefit by getting higher efficiency of the Smart City Projects and by utilizing knowledge and values of a Smart City Projects in a prioritized way.


 Ⅰ. Introduction
  1.1 Methodology and Reason of Choice
 Ⅱ. Theoretical Background
  2.1 Smart City: Concept and Definition
  2.2 Past: ICT-Driven City; EfficientCity; Cyber City; Digital City; U-City
  2.3 Present: Intelligent City;Knowledge City; Smart City
  2.4 Future: MESH City; Sense, Softand “Warm” Technology City
  2.5 Mechanisms and approaches toDefine Smart City Projects
 Ⅲ. Analysis of Smart CityProjects
  3.1 Reason of choice for Case Studies
  3.2 Reason of Choice for Variables
  3.3 Variables Generation and Analysis
  3.4 Analysis of Smart City Case Studies
  3.5 Comparative Analysis of theVariables
 Ⅳ. Implications and Conclusion
 Ⅴ. Contributions andLimitations


  • Natalia Kogan Natalia Kogan, KyungHee University, Department of Business Administration
  • Kyoung Jun Lee Professor at KyungHee University, Department of Business Administration


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