최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기정보관리학회지 = Journal of the Korean society for information management, v.38 no.1, 2021년, pp.243 - 262
장정인 (성균관대학교 문헌정보학과) , 이용정 (성균관대학교 문헌정보학과)
The present study aims to identify the factors that affect the continuous use and discontinuance of the hospital information seeking applications(hospital apps thereafter) by employing the post acceptance model. The surveys were conducted with people who used the hospital apps from October 11 to 18,...
Han, Haejin (2018. March 23). Care labs gooddak vs vibros spark. daily medi, Available: https://www.dailymedi.com/detail.php?number828724
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?key2020040700010002597
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?idxno200478
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?docId3386844&cid58369&categoryId58369
Noh, Kyung-seop (2014). Well-written thesis statistical analysis SPSS & AMOS. Seoul: Hanbit Academy.
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.
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.
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.
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.
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.
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?idxno2143543
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.
Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A reexamination of the determinants of consumer satisfaction. Journal of Marketing. 60, 15-32.
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.
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.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.