Published on in Vol 13, No 4 (2011): Oct-Dec

Website Quality, Expectation, Confirmation, and End User Satisfaction: The Knowledge-Intensive Website of the Korean National Cancer Information Center

Website Quality, Expectation, Confirmation, and End User Satisfaction: The Knowledge-Intensive Website of the Korean National Cancer Information Center

Website Quality, Expectation, Confirmation, and End User Satisfaction: The Knowledge-Intensive Website of the Korean National Cancer Information Center

Authors of this article:

Chulmo Koo 1 ;   Yulia Wati 2 ;   Keeho Park 3 ;   Min Kyung Lim 3


  1. Ghasemaghaei M, Hassanein K. A macro model of online information quality perceptions: A review and synthesis of the literature. Computers in Human Behavior 2016;55:972 View
  2. Kye S, Lee M, Yoo J, Oh K, Jun J. Factors affecting satisfaction with cancer information provided through the social networking services of the National Cancer Information Center in Korea. Epidemiology and Health 2017;39:e2017057 View
  3. Choi J, Shim K. Diagnosis of Advanced Gastric Cancer. The Korean Journal of Helicobacter and Upper Gastrointestinal Research 2013;13(3):133 View
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  6. Ghasemaghaei M, Hassanein K. Online information quality and consumer satisfaction: The moderating roles of contextual factors – A meta-analysis. Information & Management 2015;52(8):965 View
  7. Shin D, Lee S, Hwang Y. How do credibility and utility play in the user experience of health informatics services?. Computers in Human Behavior 2017;67:292 View
  8. Athanasopoulou C, Hätönen H, Suni S, Lionis C, Griffiths K, Välimäki M. An analysis of online health information on schizophrenia or related conditions: a cross-sectional survey. BMC Medical Informatics and Decision Making 2013;13(1) View
  9. Serrano C, Shah V, Abràmoff M. Use of Expectation Disconfirmation Theory to Test Patient Satisfaction with Asynchronous Telemedicine for Diabetic Retinopathy Detection. International Journal of Telemedicine and Applications 2018;2018:1 View
  10. Biduski D, Bellei E, Rodriguez J, Zaina L, De Marchi A. Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire. Computers in Human Behavior 2020;104:106169 View
  11. Mirabolghasemi M, Iahad N, Ramayah T. Influential Factors in Breast Cancer Patients' Performance Using Malaysian Social Network Support Groups. International Journal of Healthcare Information Systems and Informatics 2019;14(4):73 View
  12. Zhou W, Tsiga Z, Li B, Zheng S, Jiang S. What influence users’ e-finance continuance intention? The moderating role of trust. Industrial Management & Data Systems 2018;118(8):1647 View
  13. Liao G, Chien Y, Chen Y, Hsiung H, Chen H, Hsieh M, Wu W. What to Build for Middle-Agers to Come? Attractive and Necessary Functions of Exercise-Promotion Mobile Phone Apps: A Cross-Sectional Study. JMIR mHealth and uHealth 2017;5(5):e65 View
  14. Wollmann K, der Keylen P, Tomandl J, Meerpohl J, Sofroniou M, Maun A, Voigt-Radloff S. The information needs of internet users and their requirements for online health information—A scoping review of qualitative and quantitative studies. Patient Education and Counseling 2021;104(8):1904 View
  15. Verkijika S. Assessing the Role of Simplicity in the Continuous Use of Mobile Apps. Journal of Organizational and End User Computing 2020;32(4):26 View
  16. Tseng L, Chang J, Zhu Y. What drives the travel switching behavior of Chinese Generation Z consumers. Journal of Tourism Futures 2021 View
  17. Galavi Z, Pourasad M, Norouzi S, Jahani Y, Khajouei R. Public Usage, Perceived Usefulness, and Satisfaction with E-health Services in COVID-19 Pandemic. Journal of Clinical Research in Paramedical Sciences 2023;11(2) View
  18. Nicol K, Lehman K, Carlini J, Tori K, Butler-Henderson K. Patient Expectations: Searching Websites on How to Apply to Access Medical Records. International Journal of Environmental Research and Public Health 2022;19(11):6503 View
  19. Ong A, Prasetyo Y, Sacro M, Artes A, Canonoy M, Onda G, Persada S, Nadlifatin R, Robas K. Determination of factors affecting customer satisfaction towards “maynilad” water utility company: A structural equation modeling-deep learning neural network hybrid approach. Heliyon 2023;9(3):e13798 View
  20. Ju B, Jung Y, Bourgeois J. Seeking Health Information in Wikipedia and Readers' Satisfaction. Proceedings of the Association for Information Science and Technology 2021;58(1):744 View
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  23. Ho K, Chou P, Chung M. Comparison of nursing diagnostic accuracy when aided by Knowledge-Based Clinical Decision Support Systems with Clinical Diagnostic Validity and Bayesian Decision Models for psychiatric care plan formulation among nursing students: a quasi-experimental study. BMC Nursing 2023;22(1) View

Books/Policy Documents

  1. Mirabolghasemi M, Iahad N. Information and Communication Technologies for Development. View
  2. Abraham M, Choe P. HCI International 2021 - Late Breaking Papers: Design and User Experience. View