The Journal of Information Systems (한국정보시스템학회지:정보시스템연구)

Korea Association of Information Systems (한국정보시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Preference Analysis for U-City Services

U-City 분야별 서비스에 대한 선호도 분석

  • 김종기 (부산대학교 경영대학 경영학과) ;
  • 남수태 (부산대학교 일반대학원 경영학과)
  • Received : 2010.07.19
  • Accepted : 2010.10.04
  • Published : 2010.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

U-City applies ubiquitous information technologies such as RFID, GPS, USN to various components of city functions and services. The concept of U-City was popularized especially in Korea and currently more than 40 projects have been carrying out all over country. U-City incorporates advanced information communication technologies into ubiquitous information services to provide better quality of life. The purpose of this study is to analyze preferences for the U-City services by surveying experts in U-City developing companies. This study employs Analytic Hierarchy Process which is very useful tool for performing multi-criteria decision making. Total of 28 responses were used in the analysis. The results indicated that the first 7 most preferred items were from transportation and safety area and environment and healthcare area and 4 out of 6 items in transportation and safety area were ranked among them. It implies that respondents consider countering anxiety caused by congested traffic, natural disasters, crimes, etc most important aspect that U-City should deal with. On the other hand, U-Port, U-Convention, U-Logistics, U-Public Administration and U-City Portal were listed as the least preferred services.

Keywords

References

  1. 국토해양부, 유비쿼터스도시기술 가이드라인, 2009.
  2. 김미영, 종합병원 고정 자산관리 업무의 중요도 선정, 서경대 산업대학원, 석사학위논문, 2009.
  3. 김상현, "RFID기술 수용과 구현에 영향을 주는 요인과 조직 준비성의 조절효과," 정보시스템연구, 제19권 제1호, 2010, pp. 147-177.
  4. 양단희, 김연수, "U-City의 서비스, 인프라, 기술," 한국인터넷정보학회지, 제10권 제1호, 2009, pp. 93-98.
  5. 여옥경, "U-City 서비스에 대한 수요자의 선호도 분석 연구," 부동산학보, 제41권 제2호, 2010, pp. 345-354.
  6. 연해정, 박진식, 김대용, "U-City 사업전략과 기대효과," 정보과학회지, 제23권 제11호, 2005, pp. 38-47.
  7. 윤수진, "U-City구현에 있어서의 개인정보보호," 공법연구, 제35권 제1호, 2006, pp. 555-587.
  8. 이미경, 강주영, 이상근, "유비쿼터스 해소를 위한 장애인의 U-City 서비스 사용의도에 영향을 미치는 요인에 관한 연구," 정보시스템연구, 제17권 제2호, 2008, pp. 95-112.
  9. 정부영, 양재수, 송용학, "U-City 건설 성공을 위한 구축 방법론," 한국인터넷정보학회지, 제10권 제1호, 2009, pp. 36-44.
  10. 하지철, 이동한, 마케팅조사 실무노트, 3 : 각종 분석기법과 통계분석, 한국학술정보, 2010.
  11. 한국정보사회진흥원, U-City IT인프라 구축 가이드라인 V1.0, 2008.
  12. 한국 U-City 협회, 지자체별 U-City 추진현황, 2007.
  13. 홍태호, 김은미, 서보밀, "AHP를 이용한 금융기관의 CRM 시스템 설정," 정보시스템연구, 제17권 제2호, 2008, pp. 137-154.
  14. KT U-City 추진단, U-City를 통한 Ubiquitous Technology 활성화 방안, 2008.
  15. Forman, E., & Gass, S. I., "The Analytic Hierarchy Process : An Exposition," Operations Research, Vol. 49, No. 4, 2001, pp. 469-486. https://doi.org/10.1287/opre.49.4.469.11231
  16. Golden, B., & Wasil, E. A., "Celebrating 25 Years of AHP Based Decision Making," Computers and Operations Research, Vol. 30, No. 10, 2003, pp. 1419-1497. https://doi.org/10.1016/S0305-0548(02)00184-3
  17. Saaty, T. L., "A Scaling Method for Priorities in Hierarchical Structures," Journal of Mathematical Psychology, Vol 15, No. 3, 1977, pp. 234-281. https://doi.org/10.1016/0022-2496(77)90033-5
  18. Saaty, T. L., "How to Make a Decision : The Analytic Hierarchy Process," European Journal of Operational Research, Vol. 48, No. 1, 1990, pp. 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
  19. Saaty, T. L., Fundamentals of the Analytic Hierarchy Process, RWS Publications, Pittsburgh, PA, 2000.
  20. Shim, J. P., "Bibliography Research on the Analytic Hierarchy Process (AHP)," Socio-Economic Planning Sciences, Vol. 23, No. 3, 1989, pp. 161-167. https://doi.org/10.1016/0038-0121(89)90013-X
  21. Vargas, L. G., "An Overview of the Analytic Hierarchy Process and Its Applications," European Journal of Operational Research, Vol. 48, No. 1, 1990, pp. 2-8. https://doi.org/10.1016/0377-2217(90)90056-H
  22. Zahedi, F., "The Analytic Hierarchy Process - A Survey of the Method and Its Applications," Interfaces, Vol. 16, No. 4, 1986, pp. 96-108.

Cited by

  1. A Revised Algorithm for Estimating Queuing Time in Sensor Data Processing with Multiple Resources for U-Services vol.20, pp.4, 2011, https://doi.org/10.5859/KAIS.2011.20.4.163