References
- Han, Haejin (2018. March 23). Care labs gooddak vs vibros spark. daily medi, Available: https://www.dailymedi.com/detail.php?number=828724
- Jung, You-Soo (2013). A study on a use-diffusion model of medical service websites and applications. Doctoral dissertation, Inje University, Business.
- Ki, Yeon-Su (2007). Research about factor affecting the continuous use of health app: Focusing on the moderating effect of sex and age. Master's thesis, Kookmin University, Department of Data Science.
- Kim, Sangwoo (2020. April 7). Corona 19 effect, explosive increase in app service utilization...gooddak, 1639%↑. Bridge Economy, Available: http://www.viva100.com/main/view.php?key=2020040700010002597
- Kim, Seong-Jin (2018). Influences of service convenience of medical service mobile application on behavioral intention: Focusing on intermediary effect of experience value and control effect of involvement. Doctoral dissertation, Gachon University, Business Administration.
- Lee, Jaeik (2018. June 11). Air-conditioning? hospital? pharmacy search apps have skyrocketed by more than 100,000 new installers. Digital Today, Available: http://www.digitaltoday.co.kr/news/articleView.html?idxno=200478
- Li, Jingshun (2017). Medical service information seeking of chinese who visit Korea: Medical tourists for cosmetic surgery. Master's thesis, Seoul National University, Nursing.
- Naver Knowledge Encyclopedia [n.d.]. National Science Museum - Internet of Things: O2O. Available: https://terms.naver.com/entry.nhn?docId=3386844&cid=58369&categoryId=58369
- Noh, Kyung-seop (2014). Well-written thesis statistical analysis SPSS & AMOS. Seoul: Hanbit Academy.
- Suh, Hyojung, Hong, Hyeonseok, Kim, Minjeong, Yoon, Wonjung, Lee, Taehoon, Jung, Jiyun, Hwang, Shinha, & Cho, Youngtae (2015). Mhealth apps: The current status of usage and the factors of continuous use. Journal of HCI Society of Korea, 10(1), 19-27. https://doi.org/10.17210/jhsk.2015.05.10.1.19
- Yi, Yong Jeong & Bae, Beom Jun (2017). An analysis of non-users of mobile healthcare applications: Based on diffusion of innovations theory. Journal of the Korean Society for Information Management, 34(1), 135-154. https://doi.org/10.3743/KOSIM.2017.34.1.135
- Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS quarterly, 351-370.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
- Hsu, C. L. & Lin, J. C. C. (2019). Understanding continuance intention to use online to offline (O2O) apps. Electronic Markets, 1-15.
- Krebs, P. & Duncan, D. T. (2015). Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 3(4), e101. https://doi.org/10.2196/mhealth.4924
- Lee, M. C. (2010). Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model. Computers & Education, 54(2), 506-516. https://doi.org/10.1016/j.compedu.2009.09.002
- Leung, L. & Chen, C. (2019). E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities. Telecommunications Policy, 43(6), 563-575. https://doi.org/10.1016/j.telpol.2019.01.005
- Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 173-191.
- Oh, In-gyu (2021. 2. 3). Healthcare services, leading the way in hospital paths. Medical Newspaper, Retrieved from http://www.bosa.co.kr/news/articleView.html?idxno=2143543
- Moscone, F., Tosetti, E., & Vittadini, G. (2012). Social interaction in patients' hospital choice: Evidence from Italy. Journal of the Royal Statistical Society: Series A (Statistics in Society), 175(2), 453-472. https://doi.org/10.1111/j.1467-985X.2011.01008.x
- Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A reexamination of the determinants of consumer satisfaction. Journal of Marketing. 60, 15-32. https://doi.org/10.2307/1251839
- Thong, J. Y., Hong, S. J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799-810. https://doi.org/10.1016/j.ijhcs.2006.05.001
- Xiao, N., Sharman, R., Rao, H. R., & Upadhyaya, S. (2014). Factors influencing online health information search: An empirical analysis of a national cancer-related survey. Decision Support Systems, 57, 417-427. https://doi.org/10.1016/j.dss.2012.10.047