Smart City Gnosys
Smart city article details
| Title | Key Factors Affecting Acceptance Of Smart City Service: Focused On Seoul |
|---|---|
| ID_Doc | 34511 |
| Authors | Lee W.-J.; Lee S.-K. |
| Year | 2022 |
| Published | Journal of the Architectural Institute of Korea, 38, 11 |
| DOI | http://dx.doi.org/10.5659/JAIK.2022.38.11.233 |
| 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. © 2022 Architectural Institute of Korea. |
| Author Keywords | Intention to Smart City Service Acceptance; Key Factor; Smart City; Technology Acceptance Model |
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