Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Key Factors Affecting Acceptance of Smart City Service: Focused on Seoul

스마트시티 서비스 수용에 영향을 미치는 요인분석: 서울시 대상으로

  • Lee, Won-Jong (Dept. of Architectural Engineering, Kwangwoon University) ;
  • Lee, Seul-Ki (Dept. of Architectural Engineering, Kwangwoon University)
  • Received : 2022.08.26
  • Accepted : 2022.10.04
  • Published : 2022.11.30
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Abstract

Most smart city policies and service provision decisions are made in a top-down manner that are centered on the central government; hence, it is inadequate to only consider the improvement of a citizen's acceptance and willingness to use smart city services. Although, the ultimate goal of a smart city is to improve the quality of life for its citizens by solving urban problems, the efforts to improve a citizen's acceptance towards smart city services are essential. Therefore, in this study, key factors that had a significant impact on the acceptance of smart city services were identified and implications were derived by analyzing the relationship between factors that influenced the acceptance of smart city services and the intention behind the acceptance of smart city services. Through a literature review, factors influencing the acceptance of smart city services were largely classified and defined into user characteristics of smart city services, quality of smart city services, and expectation for smart city service use. Through a regression analysis, the significant factors were identified: attitude and social influence for user characteristics of smart city services, perceived risk, system quality, and suitability for the quality of smart city services, expectation for usability performance and expectation for user effort in the expectation of smart city service use. The results of this study are expected to be used as a basis for establishing policies and systems to improve a citizen's acceptance and encourage continuous use of smart city services.

Keywords

Acknowledgement

이 논문은 2021년도 광운대학교 융·복합 연구과제 지원사업의 지원을 받아 수행된 연구임 이 연구는 2020년도 한국연구재단 연구비 지원에 의한 결과의 일부임. 과제번호: 2020R1I1A1A01071545

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