문화기술의 융합 (The Journal of the Convergence on Culture Technology)

  • 제9권5호
  • /
  • Pages.91-98
  • /
  • 2023
  • /
  • 2384-0358(pISSN)
  • /
  • 2384-0366(eISSN)
국제문화기술진흥원 (The International Promotion Agency of Culture Technology)
권호 표지
DOI QR코드

DOI QR Code

CCR 기반 스마트 헬스케어 서비스에 대한 탐색적연구

An Exploratory Study on CCR-based Smart Healthcare Services

  • 김준환 (서울시립대학교 경영학부) ;
  • 임석진 (성결대학교 컴퓨터공학부)
  • 투고 : 2023.07.25
  • 심사 : 2023.08.31
  • 발행 : 2023.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구는 스마트 헬스케어 서비스에 대한 탐색적 연구로 멀티채널을 이용한 CCR 기반 헬스케어 서비스 시스템에 대한 개요와 작동원리를 살펴보고, 이러한 서비스가 사용자들과의 상호 커뮤니케이션이 중요한 역할과 기능인만큼 서비스 품질이 사용자 만족 및 지속사용의도에 미치는 영향을 조사하였다. 이를 위해, 헬스케어 디바이스 및 앱을 소유 및 이용한 경험이 있는 사용자 188명을 대상으로 구조방정식모형(SEM)으로 분석하였다. 분석결과, 첫째, 헬스케어 서비스에 대한 서비스 품질(유형성, 신뢰성, 공감성, 반응성, 보증성)은 모두 사용자 만족에 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 사용자 만족도 지속사용의도에 유의한 영향을 미치는 것으로 발견되었다. 본 연구의 결과는 CCR 기반 스마트 헬스케어 서비스의 효과와 잠재적인 가치를 탐색하는 데 기여할 것으로 기대된다. 이를 통해 개인의 건강상태 관리와 예방에 대한 정확한 정보와 개인 맞춤형 서비스를 제공하는 향후 스마트 헬스케어 시스템의 발전에 기여할 수 있을 것이다.

This study is an exploratory research on smart healthcare services, specifically focusing on a multi-channel CCR based healthcare service system. The study examines the overview and operational principles of the service system, highlighting the significance of user communication and its role in the system's functionality. Furthermore, the study investigates the impact of service quality on user satisfaction and intention to continue using the service. To achieve this, a structural equation modeling(SEM) analysis was conducted with a sample of 188 users who owned and utilized healthcare devices and apps. The results indicate that service quality dimensions (reliability, responsiveness, empathy, assurance, and tangibility) all had a positive influence on user satisfaction. Additionally, user satisfaction was found to have a significant impact on intention to continue using the service. The findings of this study contribute to exploring the effectiveness and potential value of CCR-based smart healthcare services. It was also provided insights for the future development of smart healthcare systems that offer accurate health information and personalized services for individual health management and prevention.

키워드

참고문헌

  1. G. C. Pallis, "Opportunities and challenges of the Internet of Things for Healthcare: System engineering perspective," IEEE International Conference on Wireless Mobile Communication and Healthcare Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), November, 2014. https://doi.org/10.1109/MOBIHEALTH.2014.7015961
  2. N. D. Thong Tran, C. K. Leung, E. W. R. Madill, and P. T. Binh, "A Deep Learning Based Predictive Model for Healthcare Analytics," IEEE International Conference on Healthcare Informatics(ICHI), June, 2022. https://doi.org/10.1109/ICHI54592.2022.00106
  3. J. M. Ferranti, R. C. Musser, K. Kawamoto, and W. E. Hammond, "A Clinical Document Architecture and the Continuity of Care Record: A Critical Analysis," Journal of the American Medical Informatics Association, Vol. 13, No. 3, pp. 245-252, May 2006. https://doi.org/10.1197/jamia.M1963
  4. S. Im, and H. Hwang, "An Implementation and Design of CCR-based Healthcare Service Using Multi-Channel Data Broadcasting," The Society of Convergence Knowledge Transactions, Vol. 9, No. 3, pp. 71-80, September 2021. https://doi.org/10.22716/sckt.2021.9.3.030
  5. A. Parasuraman, V. A. Zeithaml, and L. L. Berry, "SERVQUAL: A multiple-item scale for measuring consumer perception of service quality. Journal of Retailing, Vol. 64, No. 1, pp. 12-40, 1988.
  6. A. Parasuraman, V. A. Zeithaml, and L. L. Berry, "A Conceptual Model of Service Quality and its Implications for Future Research", Journal of Marketing, Vol. 49, No. 4, pp. 41-50, 1985. https://doi.org/10.1177/002224298504900403
  7. J. J. Jr., Cronin, and S. A. Taylor, "SERVPERF versus SERVQUAL: Reconciling Performance-bas ed and Perceptions-minus-expectations Measurement of Service Quality", Journal of Marketing, Vol. 58, No. 1, pp. 125-131, 1994. https://doi.org/10.117/002224299405800110
  8. A. Bhattacherjee, "An empirical analysis is of the antecedents of electronic commerce service continuance", Decision Support Systems, Vol. 32, No. 2, pp. 201-214, 2001. https://doi.org/10.1177/002224298504900403
  9. R. L. Oliver, "A cognitive model of the antecedents and consequences of satisfaction decisions", Journal of Marketing Research, Vol. 17, No. 4, pp. 460-469, 1980. https://doi.org/10.1177/0022243780017004
  10. Y. Liang, and Y. Zhang, "Research on user satisfaction and continuous satisfaction of O2O intelligent community platform", Proceedings of the 9th International Conference on Information Management and Engineering, pp. 116-119, 2017. https://doi.org/10.1145/3149572.3149582
  11. Y. Yi, "A critical review of consumer satisfaction", In: V. A. Zeithaml (Ed.), Review of Marketing, Vol. 4, America Marketing Association, Chicago, IL, pp. 68-123, 1990.
  12. R. L. Oliver, and W. S. DeSarbo, "Response determinants in satisfaction judgments", Journal of Consumer Research, Vol. 14, No. 4, pp. 495-507, 1988. https://doi.org/10.1086/209131
  13. R. L. Oliver, "Satisfaction: A behavioral perspective on the consumer: A behavioral perspective on the consumer", 2nd ed. New York: Routledge, 2014.
  14. V. A. Zeithaml, M. J. Bitner, and D. D. Gremler, "Services marketing: Integrating customer focus across the firm", McGraw-Hill/Irwin, 2006.
  15. A. Shankar, and B. Datta, "Measuring e-service quality: a review of literature", International Journal of Services Technology and Management, Vol. 26, No. 1, pp. 77-100, 2020. https://doi.org/10.1504/IJSTM.2020.105398
  16. J. J. Jr., Cronin, and S. A. Taylor, "Measuring service quality: a reexamination and extension", Journal of Marketing, Vol. 56, No. 3, pp. 55-68, 1992. https://doi.org/10.1177/002224299205600
  17. C. H. Hsiao, J. J. Chang, and K. Y. Tang, (2016). "Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives", Telematics and Informatics, Vol. 33, No. 2, pp. 342-355, 2016.
  18. J. C. Nunnally, and I. H. Bernstein, Psychometric Theory (McGraw-Hill Series in Psychology) (Vol. 3). New York: McGraw-Hill, 1994.
  19. J. C. Anderson, and D. W. Gerbing, "Structural Equation Modeling in Practice: A Review and Recommended Two-step Approach", Psychological Bulletin, Vol. 103, No. 3, pp. 411-423, 1989. https://doi.org/10.1037//0033-2909.103.3.411
  20. L. Hu, and P. M. Bentler, "Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives", Structural Equation Modeling: A Multidiscipinary Journal, Vol. 6, No. 1, pp. 1-55, 1999. https://doi.org/10.1080/10705519909540118
  21. J. F. JR. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis (7th ed.). Essex, UK: Pearson Education Limited, 2014.
  22. M. J. S. Dorsch, J. Grove, and W. R. Darden, "Consumer Intentions to Use a Service Category", Journal of Service Marketing, Vol. 14, No. 2, pp. 92-117, 2000. https://doi.org/10.1108/08876040010309220