대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제38권11호
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  • Pages.233-242
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  • 2022
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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스마트시티 서비스 수용에 영향을 미치는 요인분석: 서울시 대상으로

Key Factors Affecting Acceptance of Smart City Service: Focused on Seoul

  • Lee, Won-Jong (Dept. of Architectural Engineering, Kwangwoon University) ;
  • Lee, Seul-Ki (Dept. of Architectural Engineering, Kwangwoon University)
  • 투고 : 2022.08.26
  • 심사 : 2022.10.04
  • 발행 : 2022.11.30
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드

과제정보

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

참고문헌

  1. Bae, J.K. (2018). A study on the determinant factors of innovation resistance and innovation acceptance on internet primary bank services: Combining the theories of innovation diffusion and innovation resistance, The e-Business Studies, 19(2), 91-104. https://doi.org/10.20462/TeBS.2018.4.19.2.91
  2. Cho, D.H., & Lee, Y.J. (2019). Factors that affect user satisfaction toward continuous usage of AI speakers - Focusing on the mediation effect of emotional attachment, Journal of Korea Design Forum, 24(2), 87-100. https://doi.org/10.21326/KSDT.2019.24.2.008
  3. Cohen, B. (2015). The 3 Generations of Smart Cities, The Development of the Technology Driven City.
  4. Darmawan, A.K., Siahhan, D., Susanto, T.D., & Uman, B. (2019). Identifying success factors in Smart City readiness using a structure equation modelling approach, International Conference on Computer Science, Information Technology, and Electrical Engineering, 148-153.
  5. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technologies, MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  6. Enforcement Decree of the Smart City Act, 31779 (2021). https://www.law.go.kr/LSW/lsInfoP.do?efYd=20210617&lsiSeq=232801#0000
  7. Habib, A., Alsmadi, D., & Prybutok, V.R. (2020). Factors that determine residents' acceptance of Smart City technologies, Behaviour & Information Technology, 39(6), 610-623. https://doi.org/10.1080/0144929X.2019.1693629
  8. Han, D.K. (2015). A Study on Factors Affecting Fintech Acceptance and Revitalization, Ph. D. Dissertation, Yonsei University
  9. Han, K.H., & Kim, J.S. (2013). An empirical study on the influencing factors of intention to adoption of mobile government service, Asia Pacific Journal of Information Systems, 23(3), 78-104.
  10. Henfridsson, O., & Lindgren, R. (2005). Multi-contextuality in ubiquitous computing: Investing the car case through action research, Information and Organization, 15(2), 95-124. https://doi.org/10.1016/j.infoandorg.2005.02.009
  11. International Telecommunication Union (2014). Smart Sustainable Cities: An Analysis of Definitions, Technical report of the focus group on smart sustainable cities, SSC-0146 version Geneva.
  12. Jeong, S.H. (2020). Policy direction setting through comparative analysis of foreign Smart City policies, Journal of the Korea Academia-Industrial Cooperation Society, 21(9), 151-160. https://doi.org/10.5762/KAIS.2020.21.9.151
  13. Jin, R., & Lee, D.M. (2017). An experimental study on the factors influencing the acceptance of mobile easy payment services: A case of Chinese user, The Journal of the Korea Contents Association, 17(8), 1-13. https://doi.org/10.5392/JKCA.2017.17.01.001
  14. Joo, Y.C., Lee, E.W., & Seo, W.J. (2020). An analysis on the Smart City research trends, Journal of Korean Association for Regional Information Society, 23(2), 147-170.
  15. Jung, S.H. (2020). Policy direction setting through comparative analysis of foreign Smart City policies, Journal of the Korea Academia-Industrial, 21(9), 151-160.
  16. Kim, J.G., & Ha, M.J. (2011). Spreading out the citizen's acceptance on the u-public service: A case of u-green in Seoul metropolitan, Korean Policy Sciences Review, 15(4), 105-130.
  17. Kim, S.H., & Park, D.G. (2017). Acceptance factors of financial consumers on internet primary banks, Journal of Industrial Economics and Business, 30(2), 589-622. https://doi.org/10.22558/jieb.2017.04.30.2.589
  18. Lee, C.H. (2012). A Empirical Study on the Citizens' Perception Factors to the U-City Service Acceptance, Ph. D. Dissertation, Dongeui University
  19. Lee, D.G., & Lee, S.J. (2012). An empirical study on intentions to use of smart TV, Journal of Digital Convergence, 10(4), 107-118. https://doi.org/10.14400/JDPM.2012.10.4.107
  20. Moon, M.J. (2010). Shaping M-government for emergency management: Issues and challenges, Journal of E-Governance, 33(2), 100-107. https://doi.org/10.3233/GOV-2010-0217
  21. Oh, J.C. (2012). Factors influencing acceptance of e-government self service technology(SST), The e-Business Studies, 13(1), 441-462. https://doi.org/10.15719/GEBA.13.1.201203.441
  22. Park, K.C., & Lee, C.H. (2019). A study on the research trends for Smart City using topic modeling, Journal of Internet Computing and Services, 20(3), 119-128. https://doi.org/10.7472/JKSII.2019.20.3.119
  23. Park, M.H., & Kwon, M.W. (2017). Intention to use mobile delivery application services, Depending on personal innovativeness and self-efficacy, The Journal of the Korea Contents Association, 17(5), 440-448. https://doi.org/10.5392/JKCA.2017.17.05.440
  24. Park, S.W. (2020). Current status and development plan of Smart City-type urban regeneration New Deal project, Journal of Urban Planners, 7(2), 34-38.
  25. Sepasgozara, S.M., Hawken, S., Sargolzaeic, S., & Foroozanfa, M. (2019). Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies, Technological Forecasting and Social Change, 142, 105-116. https://doi.org/10.1016/j.techfore.2018.09.012
  26. Shin, H.K. (2017, September 6). The president's emphasis on Smart City...It's going to be the top 3 strategies. Mail Business News Korea. Retrieved from https://www.mk.co.kr/news/it/view/2017/09/596991/
  27. Smart City Act, 17799 (2021). https://www.law.go.kr/LSW/lsInfoP.do?efYd=20211230&lsiSeq=225057#0000
  28. Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 45(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  29. Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view, MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
  30. Yang, J.S. (2020). Analysis of Acceptance Factors Affecting the Experience Application Services of Smart City Citizen, Thesis, Hansung University