• Asia pacific journal of information systems
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• v.24 no.2
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• pp.141-189
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• 2014

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.

• World Technopolis Review
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• v.8 no.1
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• pp.8-20
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• 2019

The intent of this paper is to identify key actors of a sustainable Smart City and define metrics that will allow assessment and better management of Sustainable Smart Cities. The paper is organized in two major segments. The first segment reviews the definition, six components, six action items of Smart Cities. It describes briefly a sample Smart City project and presents a selection of different dimensions along which Smart Cities are ranked and the rankings. The segment also discusses the technology architecture of a Smart City and then examines the definition and components of an innovation platform. The second presents the original contributions of the paper. It first introduces the dynamics created seven key actors of a Smart City ecosystem and describes their existing and potential contributions. It then defines Innopreneurship platform and presents a triple bottom line based quality metric to evaluate such a platform. This segment also discusses reengineering an economy and suggests a Smart City's Innovation Platform Score. The actions to be taken by the key actors of a Smart City in order to make it a Sustainable Smart City are described in several subsections. We hope these concepts and metrics will be a good starting point and will be refined over time by others.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.705-717
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• 2020

Cities in the world are rushing to develop smart cities to create a sustainable and happy city by solving many problems in cities using information and communication technologies such as big data and IoT. However, in Korea's smart cities and smart city certification systems, the focus is on platform-oriented hardware infrastructure, and the information security aspect is first considered to build and authenticate. It is a situation in which a response system for the risk of leakage of big data containing personal information is needed through policy research on the aspect of personal information protection for smart city operation. This paper analyzes the types of personal information in smart cities, problems associated with the construction and operation of smart cities, and the limitations of the current smart city law and personal information protection management system. As a solution, I would like to present a model of a personal information protection management system in the smart city field and propose a plan to strengthen personal information protection through this. Since the management system model of this paper is applied and operated in the national smart city pilot cities, demonstration cities, and CCTV integrated control centers, it is expected that citizens' personal information can be safely managed.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.169-177
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• 2019

The city is experiencing various problems such as traffic congestion, environmental pollution, urban crime, and faces the limit of growth. Recently, various attempts to build a Smart City have been spreading around the world, in order to solve these problems. Smart City is attracting attention as the core platform of the future city with the $4^{th}$ industrial revolution. However, various definitions of smart city are mixed, and the methods and strategies for implementing smart city are changing or evolving due to the development of technology and the experience during that time. This study summarizes the definition of various smart city through literature review and suggests smart city building strategy that enables sustainable growth of cities as a platform of the $4^{th}$ industrial revolution era.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.157-171
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• 2021

The purpose of this study is to assess the smart city for major cities in Korea. The assessment indicators are based on the STIM structure (Service, Technology, Infrastructure, and Management Layer Architecture) of the Multi-Layered Smart City Model. Assessment indicators are established through smart city concepts, case analysis, big data analysis, as well as weighted through expert AHP survey. For the assessment, seven major metropolitan cities are selected, including Seoul, and their data such as KOSIS, KISDISTAT from 2017 to 2019 is utilized for the smart city level assessment. The smart city level results show that the service, technology, infrastructure, and management levels were relatively high in Seoul and Incheon, which are metropolitan areas. Whereas, Busan, Daegu, and Ulsan, the Gyeongsang provinces are relatively moderate, while Daejeon and Gwangju, the South Chungcheong region and the Jeolla provinces, were relatively low. The overall STIM ranking shows a similar pattern, as the Seoul metropolitan area smart city level outperforms the rest of the analyzed areas with a large difference. Accordingly, balanced development strategies are needed to reduce gaps in the level of smart cities in South Korea, and respective smart city plans are needed considering the characteristics of each region. This paper will follow the literature review, assessment index establishment, weight analysis of assessment index, major cities assessment and result in analysis, and conclusion.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.9-23
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• 2022

This study aims to examine research trends on the Internet of Things and smart city based on papers from the United States, Japan, and Korea. We collected 7113 papers related to the Internet of Things and smart city published from 2016 to 2021 in Elsevier's Scopus. Keyword frequency and centrality analysis were performed based on the abstracts of the collected papers. We found keywords with high frequency of appearance by calculating keyword frequency and identified central research keywords through the centrality analysis by country. As a result of the analysis, research on security, machine learning, and edge computing related to the Internet of Things and smart city were the most central and highly mediating research conducted in each country. As an implication, studies related to deep learning, cybersecurity, and edge computing in Korea have lower degree centrality and betweenness centrality compared to the United States and Japan. To solve the problem it is necessary to combine these studies with various fields. The future research direction is to analyze research trends on the Internet of Things and smart city in various regions such as Europe and China.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.600-606
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• 2018

Smart city is currently the main direction of development. The automatic management of instrumentation is one task of the smart city. Because there are a lot of old instrumentation in the city that cannot be replaced promptly, how to makes low-cost transformation with Internet of Thing (IoT) becomes a problem. This article gives a low-cost method that can identify code wheel instrument information. This method can effectively identify the information of image as the digital information. Because this method does not require a lot of memory or complicated calculation, it can be deployed on a cheap microcontroller unit (MCU) with low read-only memory (ROM). At the end of this article, test result is given. Using this method to modify the old instrumentation can achieve the automatic management of instrumentation and can help build a smart city.

• Asian Journal of Business Environment
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• v.14 no.2
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• pp.1-10
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• 2024

Purpose: The purpose of this study is to investigate the essential factors contributing to the growth and success of smart cities, providing a comprehensive analysis of key elements that are crucial in fostering the development of smart cities. This study explored the impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on overall attitudes towards smart cities. Additionally, the study examined the impact of overall attitude on the growth trajectory of the smart cities and satisfaction. Research design, data and methodology: To collect data, this study employed an online survey conducted by a reputable research organization. Data analysis involved the use of factor analysis, ANOVA, and regression analysis. Results: This study unveiled significant impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on the overall attitudes. Furthermore, it demonstrated that the overall attitude significantly influences the growth trajectory of smart cities. Conclusions: This study identified key driving factors for smart city development, suggesting that the consideration of sustainable urban practices emerges as the most significant factor influencing the growth of the smart cities.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.63-73
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• 2021

In order to effectively promote a smart city, various urban information must be opened and linked, and the information system that each member can share is required. In addition, it is necessary to establish a cooperative system in which citizens and citizen's organizations can participate. In this study, the components and conceptual model of a smart city platform were proposed to create a smart city that enables citizen participation. Its components include sensors for collecting data from the real world, information storage and management, information sharing and standard system, citizens' personal information protection and management system, utilization and service, etc. For the conceptual model, roles of smart city members were defined, so that citizen-centered participation and services could be made. It also includes data collection, information linkage and sharing, and service configuration system. Citizens can perform various roles such as data collector and provider, service planner or requestor, service beneficiary, etc. Ultimately, free communication and exchange of opinions with citizens is a key factor in the success of smart cities.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.177-183
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• 2019

We intend to improve the sustainability of rural villages by investigating the element technologies and platforms necessary for building smart villages. There are so many investment smart city platforms and solutions in many cities. but there are relatively few investments in rural or small cities. This situation can not only increase the urban problem due to the increase of population to the city, but also deepen the digital gap of citizens. So far, studies on smart village have been investigated in fragments. We will examine the cases applied to smart village as a whole and study the open smart village platform that analyzes the overall data storage and management of the village after the smart village was finally established. First, we will look at the overseas trends of smart village and second, we will study the smart village platform that efficiently manages smart village through the technology necessary for smart village.