An Analysis on Affecting Factors of Healthcare Applications Continuous Usage Intention and their Relationships
Many studies have been conducted on adoption of healthcare applications. However, few studies have paid their attention to continuous usage intention of healthcare applications even though success of healthcare applications is determined by Continuous usage intention rather than adoption. Therefore, this study tried to identify the factors affecting the continuous usage intention of healthcare applications and examined the relationship between them empirically. In addition, the role of gender and age in the relationship was investigated. The results showed that self-efficacy and innovation had a significant effect on perceived ease of use of healthcare application, while self-efficacy, health information seeking, and enjoyment had a significant effect on perceived usefulness. Perceived ease of use and usefulness showed positive impact on continuous usage intention of healthcare application. Finally, age and gender had a moderator effect the relationship between perceived usefulness and continuous usage intention. This study is expected to make contributions to the existing research by identifying the factors affecting the Continuous usage intention of healthcare applications, but also to give a guideline for managers who want to provide healthcare application services.
Agarwal, R. and Karahanna, E., “Time Flies when You’re Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage,” MIS Quarterly, Vol. 24, No. 4, pp. 665-694, 2000.
Ahn, K. and Kim, J., “Evaluation of Mobile Tour Information Service Using the IPA Method,” International Journal of Tourism Management and Sciences, Vol. 24, No. 5, pp. 45-61, 2009.
Aitken, M. and Lyle, J., Patient Adoption of mHealth: Use, Evidence and Remaining Barriers to Mainstream Acceptance, IMS Institute for Healthcare Informatics, Parsippany, NJ, 2015.
Ameen, N. and Willis, R., “An Analysis of the Moderating Effect of Age on Smartphone Adoption and Use in the United Arab Emirates,” Proceedings for the UK Academy of Information Systems(UKAIS) Conference, 2018.
An, D. C. and Kim, S. H., “Moderating Effects of Gender on Intentions to Adopt Mobile Advertising: An Application of Modified Technology Acceptance Model,” The Korean Journal of Advertising, Vol. 20, No. 4, pp. 171-188, 2009.
Bae, J., “An Empirical Study on Factors Influencing the Intention to Acceptance of Mobile Application Marker,” Korean Journal of Business Administration, Vol. 23, No. 5, pp. 2399-2422, 2010.
Bandura, A., “Self-Efficacy: Toward a Unifying Theory of Behavioral Change,” Psychological Review, Vol. 84, No. 2, pp. 191-215, 1977.
Beldad, A. D. and Hegner, S. M., “Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue Using a Fitness App: A Structural Equation Modeling Approach,” International Journal of Human-Computer Interaction, Vol. 34, No. 9, pp. 882-893, 2018.
Bertakis, K. D., Azari, R., Helms, L. J., Callahan, E. J., and Robbins, J. A., “Gender Differences in the Utilization of Health Care Services,” Journal of Family Practice, Vol. 49, No. 2, pp. 147-147, 2000.
Bhattacherjee, A., “Understanding Information Systems Continuance: An Expectation-Confirmation Model,” MIS Quarterly, Vol. 25, No. 3 pp. 351-370, 2001.
Boulos, M. N., Brewer, A. C., Karimkhani, C., Buller, D. B., and Dellavalle, R. P., “Mobile Medical and Health Apps: State of the Art, Concerns, Regulatory Control and Certification,” Online Journal of Public Health Informatics, Vol. 5, No. 3, p. 229, 2014.
Braithwaite, J., “Changing how we Think about Healthcare Improvement,” https://www.bmj.com/content/361/bmj.k2014, 2018.
Casanueva, C. and Gallego, Á., “Social Capital and Individual Innovativeness in University Research Networks,” Innovation: Organization & Management, Vol. 12, No. 1, pp. 105-117, 2010.
Chen, M. and Lin, N., “Incorporation of Health Consciousness into the Technology Readiness and Acceptance Model to Predict App Download and Usage Intentions,” Internet Research, Vol. 28, No. 2, pp. 351-373, 2018.
Cho, J., “The Impact of Post-Adoption Beliefs on the Continued Use of Health Apps,” International Journal of Medical Informatics, Vol. 87, pp. 75-83, 2016.
Cho, J. H., “The Investigation of Factors of Determining Continuous Use of Health Apps on Smartphones Application of Extended Technology Acceptance Model,” Journal of Public Relations Research, Vol. 18, No. 1, pp. 212-241, 2014.
Cho, J., Lee, H. E., and Quinlan, M., “Complementary Relationships between Traditional Media and Health Apps among American College Students,” Journal of American College Health, Vol. 63, No. 4, pp. 248-257, 2015.
Chun, S., Choi, J., and Park, J., “Mobile Healthcare System for Personalized Emergency Management,” Journal of the Institute of Electronics and Information Engineers, Vol. 51, No. 6, pp. 50-59, 2014.
Chun, C. and Seo, S., “A Comparative Study of Influencing Factors to Use Mobile Delivery Applications Based on the UTAUT Model,” Journal of Tourism Sciences, Vol. 42, No. 3, pp. 97-119, 2018.
Chung, K., Noh, M., and Nie, R., “An Empirical Examination of the Continuance Intention to Use on Mobile Communication Service in Korea and China,” Korean Management Review, Vol. 44, No. 1, pp. 215-246, 2015.
Chung, J. E., Park, N., Wang, H., Fulk, J., and McLaughlin, M., “Age Differences in Perceptions of Online Community Participation among Non-Users: An Extension of the Technology Acceptance Model,” Computers in Human Behavior, Vol. 26, No. 6, pp. 1674-1684, 2010.
Cimperman, M., Brenčič, M. M., and Trkman, P., “Analyzing Older Users’ Home Telehealth Services Acceptance Behavior-Applying an Extended UTAUT Model,” International Journal of Medical Informatics, Vol. 90, pp. 22-31, 2016.
Compeau, D. R. and Higgins, C. A., “Computer Self-Efficacy: Development of a Measure and Initial Test,” MIS Quarterly, Vol. 19, No. 2, pp. 189-211, 1995.
Crespo, Á. H. and del Bosque, I. R., “The Effect of Innovativeness on the Adoption of B2C E-Commerce: A Model Based on the Theory of Planned Behaviour,” Computers in Human Behavior, Vol. 24, No. 6, pp. 2830-2847, 2008.
Csikszentmihalyi, M., Finding Flow: The Psychology of Engagement with Everyday Life, Basic Books, New York, 1997.
Csikszentmihalyi, M., Flow: The Psychology of Optimal Performance, HarperCollins Publisher, New York, 1990.
Daft, R. L. and Lengel, R. H., “Information Richness: A New Approach to Managerial Behavior and Organization Design,” Research in Organizational Behavior, Vol. 6, pp. 191-233, 1984.
Davis, F. D., “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989.
Dittmar, H., Long, K., and Meek, R., “Buying on the Internet: Gender Differences in on-Line and Conventional Buying Motivations,” Sex Roles, Vol. 50, No. 5-6, pp. 423-444, 2004.
Dorsch, M. J., Grove, S. J., and Darden, W. R., “Consumer Intentions to Use a Service Category,” Journal of Services Marketing, Vol. 14, No. 2, pp. 92-117, 2000.
Dunsmuir, D. T., Payne, B. A., Cloete, G., Petersen, C. L., Görges, M., Lim, J., von Dadelszen, P., Dumont, G. A., and Ansermino, J. M., “Development of mHealth Applications for Pre-Eclampsia Triage,” IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 6, pp. 1857-1864, 2014.
Dutta-Bergman, M. J., “Complementarity in Consumption of News Types Across Traditional and New Media,” Journal of Broadcasting & Electronic Media, Vol. 48, No. 1, pp. 41-60, 2004.
Dutta-Bergman, M. J., “Primary Sources of Health Information: Comparisons in the Domain of Health Attitudes, Health Cognitions, and Health Behaviors,” Health Communication, Vol. 16, No. 3, pp. 273-288, 2004.
Ebrahimi, S., Mehdipour, Y., Karimi, A., Khammarnia, M., and Alipour, J., “Determinants of Physicians’ Technology Acceptance for Mobile Health Services in Healthcare Settings,” Journal of Health Management and Informatics, Vol. 5, No. 1, pp. 9-15, 2018.
El-Wajeeh, M., Galal-Edeen, G., and Mokhtar, H., “Technology Acceptance Model for Mobile Health Systems,” IOSR Journal of Mobile Computing and Acceptance, Vol. 1, No. 1, pp. 21-33, 2014.
Ericsson, “Ericsson Mobility Report,” https://www.ericsson.com/assets/local/mobility-report/documents/2017/ericsson-mobility-report-june-2017-rina.pdf, 2017.
Fishbein, M. and Ajzen, I., “Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975.
Fox, G. and Connolly, R., “Mobile Health Technology Adoption Across Generations: Narrowing the Digital Divide,” Information Systems Journal, Vol. 26, No. 6, pp. 995-1029, 2018.
Gefen, D., Karahanna, E., and Straub, D. W., “Trust and TAM in Online Shopping: An Integrated Model,” MIS Quarterly, Vol. 27, No. 1, pp. 51-90, 2003.
Gücin, N. Ö. and Berk, Ö. S., “Technology Acceptance in Health Care: An Integrative Review of Predictive Factors and Intervention Programs,” Procedia-Social and Behavioral Sciences, Vol. 195, pp. 1698-1704, 2015.
Hofstede, G., Culture’s Consequences: Comparing Values, Behaviors, Institutions and Organizations across Nations, Sage, Thousand Oaks, CA, 2001.
Holden, R. J. and Karsh, B., “The Technology Acceptance Model: Its Past and its Future in Health Care,” Journal of Biomedical Informatics, Vol. 43, No. 1, pp. 159-172, 2010.
Hong, S. M., “The Effects of Cancer-Related Information Search from Media as Communication Cues on Health Behavior,” Journal of Korean Academy of Nursing Administration, Vol. 19, No. 1, pp. 76-86, 2013.
Hoque, M. R., “An Empirical Study of mHealth Adoption in a Developing Country: The Moderating Effect of Gender Concern,” BMC Medical Informatics and Decision Making, Vol. 16, No. 1, p. 51, 2016.
Hsiao, C. and Tang, K., “Examining a Model of Mobile Healthcare Technology Acceptance by the Elderly in Taiwan,” Journal of Global Information Technology Management, Vol. 18, No. 4, pp. 292-311, 2015.
Hsiao, C. H. and Yang, C., “The Intellectual Development of the Technology Acceptance Model: A Co-Citation Analysis,” International Journal of Information Management, Vol. 31, No. 2, pp. 128-136, 2011.
Hu, P. J., Chau, P. Y., Sheng, O. R. L., and Tam, K. Y., “Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology,” Journal of Management Information Systems, Vol. 16, No. 2, pp. 91-112, 1999.
Istepanian, R. S., Jovanov, E., and Zhang, Y., “Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity,” IEEE Transactions on Information Technology in Biomedicine, Vol. 8, No. 4, pp. 405-414, 2004.
Jang, H. and Noh, G., “The Effect of Health Consciousness and Playfulness on Intention to Use Tangible Fitness Game: Extended TAM,” Journal of the Korea Contents Association, Vol. 17, No. 1, pp. 1-11, 2017.
Jen, W. and Chao, C., “Measuring Mobile Patient Safety Information System Success: An Empirical Study,” International Journal of Medical Informatics, Vol. 77, No. 10, pp. 689-697, 2008.
Jo, S. E. and Yoo, S. W., “A Study on the Effects of Risk Perception Attitudes and Subjective Norm on the Preventive Behaviors of Cervical Cancer Testing RPA Framework on Korean College Women,” Journal of Public Relations Research, Vol. 15, No. 1, pp. 58-98, 2011.
Kanwal, F. and Rehman, M., “Factors Affecting E-Learning Adoption in Developing Countries-empirical Evidence from Pakistan’s Higher Education Sector,” IEEE Access, Vol. 5, pp. 10968-10978, 2017.
Kim, M., “Application of Extended Technology Acceptance Model in U-Health: Focused on the Effect of Self-Efficacy,” Journal of the Korea Institute of Information and Communication Engineering, Vol. 18, No. 12, pp. 2989-2996, 2014.
Kim, Y., “Exploratory Study on Acceptance Intention of Mobile Devices and Applications for Healthcare Services,” Journal of the Korea Contents Association, Vol. 12, No. 9, pp. 369-379, 2012.
Kim, J., Bai, L., and Byun, J., “The Impact of Tourism Mobile App Characteristic on Perceived Value, User Satisfaction, Continuous Use Intention: Focused on Chinese Tourist,” Journal of Tourism and Leisure Research, Vol. 27, No. 9, pp. 5-22, 2015.
Kim, D. and Chang, H., “Key Functional Characteristics in Designing and Operating Health Information Websites for User Satisfaction: An Application of the Extended Technology Acceptance Model,” International Journal of Medical Informatics, Vol. 76, No. 11-12, pp. 790-800, 2007.
Kim, Y. and Choi, S., “Effects of Perceived Service Quality, Usefulness and Easiness on the Consumer Satisfaction and the Continuous Use Intention of IPTV,” Journal of the Korea Contents Association, Vol. 9, No. 10, pp. 314-327, 2009.
Kim, H., Huh, S., and Choi, J., “Factors Affecting the Continuous Use Intention of Smartphone Social Network Games: With a Focus on the Value Model,” Journal of Korea Game Society, Vol. 12, No. 3, pp. 11-24, 2012.
Kim, Y., Jung, J., and Lee, E., “What Drives the Adoption and Usage of Smartphone Applications?: Factors Affecting Degree of Use, Continuous Use, and Recommendation,” Korean Journal of Journalism & Communication Studies, Vol. 55, No. 6, pp. 227-252, 2011.
Kim, G., Kim, Y., and Yoon, J., “The Structural Relationships of Application Richness, Brand Awareness, User Habit, User Loyalty, and Continuance Intention in Mobile Application Market,” Journal of the Korea Society of Computer and Information, Vol. 18, No. 3, pp. 141-152, 2013.
Kim, M. and Lee, S., “The Effect of the Perceived Benefit and Sacrifice of Delivery Application Service Users in the Food Industry on Perceived Value and Behavioral Intention: Using the Value-Based Adoption Model(VAM),” International Journal of Tourism and Hospitality Research, Vol. 32, No. 2, pp. 217-233, 2018.
Kim, S. and Lee, Y., “A Study on Internet Shoppers’ Motivations,” Journal of Communication Science, Vol. 7, No. 2, pp. 81-110, 2007.
Kim, J. and Park, H. A., “Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention,” Journal of Medical Internet Research, Vol. 14, No. 5, p. e133, 2012.
Kim, G., Park, K., and Park, C., “Impacts of Participation Motives and Flow Experience on Psychological Happiness for Leisure Sports Participation,” Korean Journal of Sports Science, Vol. 20, No. 6, pp. 135-147, 2011.
King, G., O’Donnell, C., Boddy, D., Smith, F., Heaney, D., and Mair, F. S., “Boundaries and E-Health Implementation in Health and Social Care,” BMC Medical Informatics and Decision Making, Vol. 12, No. 1, p. 100, 2012.
KISA, “2017 Survey on the Internet Usage,” 2018.
Koenig-Lewis, N., Marquet, M., Palmer, A., and Zhao, A. L., “Enjoyment and Social Influence: Predicting Mobile Payment Adoption,” The Service Industries Journal, Vol. 35, No. 10, pp. 537-554, 2015.
Lee, N., “Effects of Healthcare Service User’s Compliance Intention on Continuous Usage,” The Journal of Society for E-Business Studies, Vol. 21, No. 4, pp. 95-117, 2016.
Lee, J. M., “Study on the Effect of Sociability, Ease of Use, Usefulness, Enjoyment on Acceptance Intention in E-Learning: A Perspective of the Extended Technology Acceptance Model,” Journal of the Korea Contents Association, Vol. 12, No. 4, pp. 417-425, 2012.
Lee, J., Choi, M., Kim, K., and Shin, S., “Effects of Smart Phone Exercise Application Use Motivation on Leisure Satisfaction,” Korean Journal of Sports Science, Vol. 20, No. 6, pp. 815-824, 2011.
Lee, O. and Ham, S., “A Study on Influence Factors of Mobile Healthcare Service Usi-ng Structural Equation Modeling,” Journal of the Korea Academia-Industrial Cooperation Society, Vol. 18, No. 3, pp. 418-427, 2017.
Lee, S. J. and Jeon, I. K., “A Study on the Effect of Consumer’s Innovation on Sport Wearable Products: Focused on Technology Acceptance Model(TAM),” Korean Journal of Sport Management, Vol. 19, No. 1, pp. 95-108, 2014.
Lee, M., Kang, J., and Jeon, I., “A Study on the Effect of Smart Phone Fitness Application(App)’s Service Quality on Satisfaction After Use, Trust, Immersion and Willingness to Continue to Use,” The Korean Journal of Physical Education, Vol. 52, No. 2, pp. 379-396, 2013.
Lee, L., Lee, S., Jeong, J., and Noh, K., “Psychological Factors Influencing Continuous Use of Mobile Healthcare Applications,” Journal of Digital Convergence, Vol. 15, No. 7, pp. 445-456, 2017.
Lee, J. I., Nam, H. W., and Lee, S. M., “A Study on the Usability Evaluation of Smart Banking Application,” Journal of the Korean Society Design Culture,
Vol. 18, No. 1, pp. 346-359, 2012.
Lee, Y., Park, J., Rho, M., Wang, B., and Choi, I., “Doctors’ Perception and Intention of the U-Healthcare Service,” Journal of the Korea Contents Association, Vol. 12, No. 2, pp. 349-357, 2012.
Lee, J. and Shin, M., “Factors for the Adoption of Smartphone-Based Mobile Banking: On User’s Technology Readiness and Expertise,” The Journal of Society for E-Business Studies, Vol. 16, No. 4, pp. 155-172, 2011.
Lee, B. K., Sohn, Y. K., Lee, S. L., Yoon, M. Y., Kim, M. H., and Kim, C. R., “An Efficacy of Social Cognitive Theory to Predict Health Behavior A Meta-Analysis on the Health Belief Model Studies in Korea,” Journal of Public Relations Research, Vol. 18, No. 2, pp. 163-206, 2014.
Lee, C., Yun, H., Lee, C., and Lee, C. C., “Factors Affecting Continuous Intention to Use Mobile Wallet: Based on Value-Based Adoption Model,” The Journal of Society for E-Business Studies, Vol. 20, No. 1, pp. 117-135, 2015.
Leong, L., Ooi, K., Chong, A. Y., and Lin, B., “Modeling the Stimulators of the Behavioral Intention to Use Mobile Entertainment: Does Gender really Matter?,” Computers in Human Behavior, Vol. 29, No. 5, pp. 2109-2121, 2013.
Liang, T. and Wei, C., “Introduction to the Special Issue: Mobile Commerce Applications,” International Journal of Electronic Commerce, Vol. 8, No. 3, pp. 7-17, 2004.
Liang, T. and Yeh, Y., “Effect of Use Contexts on the Continuous Use of Mobile Services: The Case of Mobile Games,” Personal and Ubiquitous Computing, Vol. 15, No. 2, pp. 187-196, 2011.
Lim, S. T. and Kim, J. M., “An Investigation on Consumer Tourism and Electronic Commerce through the Technology Acceptance Model: With Emphasis on Online Travel,” Journal of Tourism Sciences, Vol. 28, No. 4, pp. 27-46, 2005.
Lim, S., Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., Duh, H. B. L., and Choolani, M., “A Study on Singaporean Women’s Acceptance of Using Mobile Phones to Seek Health Information,” International Journal of Medical Informatics, Vol. 80, No. 12, pp. e189-e202, 2011.
Lin, C. S., Wu, S., and Tsai, R. J., “Integrating Perceived Playfulness into Expectation-Confirmation Model for Web Portal Context,” Information & Management, Vol. 42, No. 5, pp. 683-693, 2005.
Longo, D. R., Schubert, S. L., Wright, B. A., LeMaster, J., Williams, C. D., and Clore, J. N., “Health Information Seeking, Receipt, and Use in Diabetes Self-Management,” Annals of Family Medicine, Vol. 8, No. 4, pp. 334-340, 2010.
Lu, J., “Are Personal Innovativeness and Social Influence Critical to Continue with Mobile Commerce?,” Internet Research, Vol. 24, No. 2, pp. 134-159, 2014.
Luarn, P. and Lin, H., “Toward an Understanding of the Behavioral Intention to Use Mobile Banking,” Computers in Human Behavior, Vol. 21, No. 6, pp. 873-891, 2005.
Luxton, D. D., McCann, R. A., Bush, N. E., Mishkind, M. C., and Reger, G. M., “mHealth for Mental Health: Integrating Smartphone Technology in Behavioral Healthcare,” Professional Psychology: Research and Practice, Vol. 42, No. 6, p. 505, 2011.
Lymberis, A., “Smart Wearable Systems for Personalised Health Management: Current R&D and Future Challenges,” Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 4, pp. 3716-3719, 2003.
Markets and Markets, “mHealth Solutions Market Worth 90.49 Billion USD by 2022,” https://www. mrketsandmarkets.com/PressReleases/mhealth-apps-and-solutions.asp, 2017.
Monney, G., Penzenstadler, L., Dupraz, O., Etter, J., and Khazaal, Y., “mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness,” Frontiers in Psychiatry, Vol. 6, p. 120, 2015.
Morris, M. G. and Venkatesh, V., “Age Differences in Technology Adoption Decisions: Implications for a Changing Work Force,” Personnel Psychology, Vol. 53, No. 2, pp. 375-403, 2000.
Mort, G. S. and Drennan, J., “Mobile Communications: A Study of Factors Influencing Consumer Use of M-Services,” Journal of Advertising Research, Vol. 47, No. 3, pp. 302-312, 2007.
Mouakket, S., “Factors Influencing Continuance Intention to Use Social Network Sites: The Facebook Case,” Computers in Human Behavior, Vol. 53, pp. 102-110, 2015.
Noh, G. Y., “An Extension of the Technology Acceptance Model in Health Video Game Environment: Using a Playtesting Method,” Korean Journal of Broadcasting and Telecommunication Studies, Vol. 26, No. 5, pp. 78-113, 2012.
Noh, G., Choi, J., and Kwon, M. S., “A Test of Extended Technology Acceptance Model on Health Information Seeking on the Internet,” Korean Journal of Broadcasting and Telecommunication Studies, Vol. 27, No. 5, pp. 49-85, 2013.
Nysveen, H., Pedersen, P. E., and Thorbjørnsen, H., “Explaining Intention to Use Mobile Chat Services: Moderating Effects of Gender,” Journal of Consumer Marketing, Vol. 22, No. 5, pp. 247-256, 2005.
Oh, C. H., Kim, J. H., and Kim, S. H., “Understanding the Determinants of Active Senior Consumers’ Online Shopping Usage Behavior and Moderating Role of Cognitive Age,” Journal of the Korea Gerontological Society, Vol. 35, pp. 813-833, 2015.
Oumlil, A. B. and Erdem, O., “Self-Concept by Gender: A Focus on Male-Female Consumer,” Journal of Marketing Theory and Practice, Vol. 5, No. 1, pp. 7-14, 1997.
Ozturk, A. B., Bilgihan, A., Nusair, K., and Okumus, F., “What Keeps the Mobile Hotel Booking Users Loyal? Investigating the Roles of Self-Efficacy, Compatibility, Perceived Ease of Use, and Perceived Convenience,” International Journal of Information Management, Vol. 36, No. 6, pp. 1350-1359, 2016.
Park, W., “A Study on the Broadcasting Digital Switchover Policy and Demographical Characteristic,” Journal of Communication Science, Vol. 10, No. 3, pp. 255-290, 2010.
Park, J. O. and Hwang, Y. C., “The Effects of Service Context Factors on Service Quality, Service Value, Customer Satisfaction and Repurchase Intention,” Journal of Korea Service Management Society, Vol. 8, No. 1, pp. 79-110, 2007.
Park, T. and Nam, J., “The Effects of Perceived Interactivity on Information Acceptance in Mobile Health Information Service,” Journal of the Korean Society for Information Management, Vol. 34, No. 3, pp. 151-177, 2017.
Porter, C. E. and Donthu, N., “Using the Technology Acceptance Model to Explain how Attitudes Determine Internet Usage: The Role of Perceived Access Barriers and Demographics,” Journal of Business Research, Vol. 59, No. 9, pp. 999-1007, 2006.
Rains, S. A. and Karmikel, C. D., “Health Information-Seeking and Perceptions of Website Credibility: Examining Web-Use Orientation, Message Characteristics, and Structural Features of Websites,” Computers in Human Behavior, Vol. 25, No. 2, pp. 544-553, 2009.
Revels, J., Tojib, D., and Tsarenko, Y., “Understanding Consumer Intention to Use Mobile Services,” Australasian Marketing Journal, Vol. 18, No. 2, pp. 74-80, 2010.
Rogers, E. M., Diffusion of Innovations, 4th Edition, Simon and Schuster, New York, 2010.
San Martín, H. and Herrero, Á., “Influence of the User’s Psychological Factors on the Online Purchase Intention in Rural Tourism: Integrating Innovativeness to the UTAUT Framework,” Tourism Management, Vol. 33, No. 2, pp. 341-350, 2012.
Sayyah Gilani, M., Iranmanesh, M., Nikbin, D., and Zailani, S., “EMR Continuance Usage Intention of Healthcare Professionals,” Informatics for Health and Social Care, Vol. 42, No. 2, pp. 153-165, 2017.
Semeijn, J., van Riel, A. C., van Birgelen, M. J., and Streukens, S., “E-Services and Offline Fulfillment: How E-Loyalty is Created,” Managing Service Quality: An International Journal, Vol. 15, No. 2, pp. 182-194, 2005.
Shim, H., Kim, Y., and Park, M., “Differences on Satisfaction of Healthcare Applications by Smartphone Users’ Characteristics,” Journal of the Korea Academia-Industrial Cooperation Society, Vol. 17, No. 7, pp. 410-419, 2016.
Shin, H., Lee, H., Park, J., Jo, H., Na, M., Cha, S., Kim, D., and Park, C., “The Investigational Study on Health-Related Mobile Application Software and its Improvement,” Regulatory Research on Food, Drug and Cosmetic, Vol. 10, No. 1, pp. 1-9, 2015.
Shrier, D., Canale, G., and Pentland, A., Mobile Money & Payments: Technology Trends, Connection Science & Engineering, Massachusetts Institute of Technology, 2016.
Sim, S. and Kim, H., “Effects of E-Coupon Attributes, Perceived Risk in Internet Shopping Malls on Intention to Continuously Use Online Coupons through the User Satisfaction: Moderating Effects of Coupon Type and Gender,” Management Information Systems Review, Vol. 30, No. 2, pp. 1-25, 2011.
Sohn, S., Choi, Y. J., and Hwang, H. S., “Understanding Acceptance of Smartphone among Early Adopters Using Extended Technology Acceptance Model,” Korean Journal of Journalism & Communication Studies, Vol. 55, No. 2, pp. 227-251, 2011.
Son, Y. and Kim, O., “Moderating Effects of Personal Innovativeness on the Innovation Acceptance Intention(Smart Device Utilization for Classes): Based on Rogers Innovation Attributes,” Korean Journal of Teacher Education, Vol. 34, No. 1, pp. 97-119, 2018.
Sun, J. and Chi, T., “Key Factors Influencing the Adoption of Apparel Mobile Commerce: An Empirical Study of Chinese Consumers,” The Journal of the Textile Institute, Vol. 109, No. 6, pp. 785-797, 2018.
Sun, H. and Zhang, P., “The Role of Moderating Factors in User Technology Acceptance,” International Journal of Human-Computer Studies, Vol. 64, No. 2, pp. 53-78, 2006.
Suziedelyte, A., “How does Searching for Health Information on the Internet Affect Individuals’ Demand for Health Care Services?,” Social Science & Medicine, Vol. 75, No. 10, pp. 1828-1835, 2012.
Tai, Y. and Ku, Y., “Will Stock Investors Use Mobile Stock Trading? A Benefit-Risk Assessment Based on a Modified UTAUT Model,” Journal of Electronic Commerce Research, Vol. 14, No. 1, p. 67, 2013.
Tarhini, A., Hone, K., and Liu, X., “The Effects of Individual Differences on E-Learning Users’ Behaviour in Developing Countries: A Structural Equation Model,” Computers in Human Behavior, Vol. 41, pp. 153-163, 2014.
Teo, T. and Noyes, J., “An Assessment of the Influence of Perceived Enjoyment and Attitude on the Intention to Use Technology among Pre-Service Teachers: A Structural Equation Modeling Approach,” Computers & Education, Vol. 57, No. 2, pp. 1645-1653, 2011.
Venkatesh, V. and Bala, H., “Technology Acceptance Model 3 and a Research Agenda on Interventions,” Decision Sciences, Vol. 39, No. 2, pp. 273-315, 2008.
Venkatesh, V. and Davis, F. D., “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,” Management Science, Vol. 46, No. 2, pp. 186-204, 2000.
Venkatesh, V. and Morris, M. G., “Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and their Role in Technology Acceptance and Usage Behavior,” MIS Quarterly, Vol. 24, No. 1, pp. 115-139, 2000.
Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D., “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, Vol. 27, No. 3, pp. 425-478, 2003.
Venkatraman, M. P., “The Impact of Innovativeness and Innovation Type on Adoption,” Journal of Retailing, Vol. 67, No. 1, p. 51, 1991.
Walczuch, R., Lemmink, J., and Streukens, S., “The Effect of Service Employees’ Technology Readiness on Technology Acceptance,” Information & Management, Vol. 44, No. 2, pp. 206-215, 2007.
Wang, B., Park, J., and Choi, I., “Influencing Factors for the Adoption of Smartphone Healthcare Application,” Journal of the Korea Contents Association, Vol. 11, No. 10, pp. 396-404, 2011.
Wang, Y., Wu, M., and Wang, H., “Investigating the Determinants and Age and Gender Differences in the Acceptance of Mobile Learning,” British Journal of Educational Technology, Vol. 40, No. 1, pp. 92-118, 2009.
Weiser, E. B., “Gender Differences in Internet Use Patterns and Internet Application Preferences: A Two-Sample Comparison,” CyberPsychology and Behavior, Vol. 3, No. 2, pp. 167-178, 2000.
Wilson, E. V. and Lankton, N. K., “Modeling Patients’ Acceptance of Provider-Delivered E-Health,” Journal of the American Medical Informatics Association, Vol. 11, No. 4, pp. 241-248, 2004.
Wu, J., Wang, S., and Lin, L., “Mobile Computing Acceptance Factors in the Healthcare Industry: A Structural Equation Model,” International Journal of Medical Informatics, Vol. 76, No. 1, pp. 66-77, 2007.
Yi, Y. J. and Bae, B. J., “An Analysis of Non-Users of Mobile Healthcare Applications: Based on Diffusion of Innovations Theory,” Journal of the Korean Society for Information Management, Vol. 34, No. 1, pp. 135-154, 2017.
Yi, M. Y., Fiedler, K. D., and Park, J. S., “Understanding the Role of Individual Innovativeness in the Acceptance of IT-based Innovations: Comparative Analyses of Models and Measures,” Decision Sciences, Vol. 37, No. 3, pp. 393-426, 2006.
Yoon, G., Kim, W., and Ryu, S., “A Study on the Factors of Individual Acceptance for Online Game,” Journal of Korea Game Society, Vol. 9, No. 3, pp. 107-119, 2009.
You, J. H. and Park, C., “A Comprehensive Review of Technology Acceptance Model Researches,” Entrue Journal of Information Technology, Vol. 9, No. 2, pp. 31-50, 2010.
Yu, B. and Kim, H. H., “A Usability Evaluation of Mobile Healthcare Application GUI Design-Focused on the Exercise Application,” Journal of Digital Design, Vol. 15, No. 1, pp. 223-233, 2015.
- There are currently no refbacks.