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An Analysis on Affecting Factors of Healthcare Applications Continuous Usage Intention and their Relationships

헬스케어 어플리케이션 지속적 사용의도 영향 요인 및 요인 간 관계에 대한 분석

  • Received : 2019.01.08
  • Accepted : 2019.02.20
  • Published : 2019.02.28

Abstract

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.

헬스케어 어플리케이션의 수용 및 도입에 대한 많은 연구가 진행되어 왔다. 그러나 헬스케어 어플리케이션의 성공이 기술 수용이나 도입이 아닌 지속적 사용의도에 의해 결정됨에도 불구하고 이에 대한 연구는 매우 부족한 실정이다. 따라서 본 연구에서는 헬스케어 어플리케이션의 지속적 사용의도에 영향을 미치는 요인들을 파악하고 이들 간의 관계를 실증적으로 검증하였다. 나아가 헬스케어 어플리케이션의 지속적 사용의도에 있어 성별과 연령의 역할을 파악하였다. 분석결과 자기효능감, 혁신성은 헬스케어 어플리케이션의 사용 용이성에 유의한 영향을 미친 반면 자기효능감, 건강정보지향, 즐거움은 유용성에 유의한 영향을 미치는 것으로 나타났다. 헬스케어 어플리케이션의 사용 용이성과 유용성은 지속적 사용의도를 증대시키는 것으로 나타났다. 마지막으로 연령과 성별은 유용성과 지속적 사용의도 간의 관계에 있어 조절변수의 역할을 하는 것으로 파악되었다. 본 연구는 헬스케어 어플리케이션의 지속적 사용의도에 영향을 미치는 요인을 파악함으로써 헬스케어 어플리케이션 연구의 지평을 확대하였을 뿐 아니라 헬스케어 어플리케이션 서비스를 제공하고자 하는 경영자들에게 일정 정도의 가이드라인의 역할을 할 수 있을 것으로 기대된다.

Keywords

References

  1. 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. https://doi.org/10.2307/3250951
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Bandura, A., "Self-Efficacy: Toward a Unifying Theory of Behavioral Change," Psychological Review, Vol. 84, No. 2, pp. 191-215, 1977. https://doi.org/10.1037/0033-295X.84.2.191
  8. 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. https://doi.org/10.1080/10447318.2017.1403220
  9. 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.
  10. Bhattacherjee, A., "Understanding Information Systems Continuance: An Expectation- Confirmation Model," MIS Quarterly, Vol. 25, No. 3 pp. 351-370, 2001. https://doi.org/10.2307/3250921
  11. 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.
  12. Braithwaite, J., "Changing how we Think about Healthcare Improvement," https://www.bmj.com/content/361/bmj.k2014, 2018.
  13. Casanueva, C. and Gallego, A., "Social Capital and Individual Innovativeness in University Research Networks," Innovation: Organization & Management, Vol. 12, No. 1, pp. 105-117, 2010.
  14. 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. https://doi.org/10.1108/IntR-03-2017-0099
  15. 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. https://doi.org/10.1016/j.ijmedinf.2015.12.016
  16. 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. https://doi.org/10.15814/jpr.2014.18.1.212
  17. 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. https://doi.org/10.1080/07448481.2015.1015025
  18. 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. https://doi.org/10.5573/IEIE.2014.51.6.050
  19. 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.
  20. 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. https://doi.org/10.17287/kmr.2015.44.1.215
  21. 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. https://doi.org/10.1016/j.chb.2010.06.016
  22. Cimperman, M., Brencic, 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. https://doi.org/10.1016/j.ijmedinf.2016.03.002
  23. 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. https://doi.org/10.2307/249688
  24. Crespo, A. 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. https://doi.org/10.1016/j.chb.2008.04.008
  25. Csikszentmihalyi, M., Finding Flow: The Psychology of Engagement with Everyday Life, Basic Books, New York, 1997.
  26. Csikszentmihalyi, M., Flow: The Psychology of Optimal Performance, Harper Collins Publisher, New York, 1990.
  27. 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.
  28. 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. https://doi.org/10.2307/249008
  29. 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. https://doi.org/10.1023/B:SERS.0000018896.35251.c7
  30. 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. https://doi.org/10.1108/08876040010309220
  31. Dunsmuir, D. T., Payne, B. A., Cloete, G., Petersen, C. L., Gorges, 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. https://doi.org/10.1109/JBHI.2014.2301156
  32. 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. https://doi.org/10.1207/s15506878jobem4801_3
  33. 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. https://doi.org/10.1207/S15327027HC1603_1
  34. 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.
  35. 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.
  36. Ericsson, "Ericsson Mobility Report," https://www.ericsson.com/assets/local/mobility-report/documents/2017/ericsson-mobility-report-june-2017-rina.pdf, 2017.
  37. Fishbein, M. and Ajzen, I., "Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975.
  38. 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.
  39. 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. https://doi.org/10.2307/30036519
  40. Gucin, N. O. and Berk, O. 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. https://doi.org/10.1016/j.sbspro.2015.06.263
  41. Hofstede, G., Culture's Consequences: Comparing Values, Behaviors, Institutions and Organizations across Nations, Sage, Thousand Oaks, CA, 2001.
  42. 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. https://doi.org/10.1016/j.jbi.2009.07.002
  43. 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. https://doi.org/10.11111/jkana.2013.19.1.76
  44. 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. https://doi.org/10.1186/s12911-016-0289-0
  45. 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. https://doi.org/10.1080/1097198X.2015.1108099
  46. 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. https://doi.org/10.1016/j.ijinfomgt.2010.07.003
  47. 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. https://doi.org/10.1080/07421222.1999.11518247
  48. 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. https://doi.org/10.1109/TITB.2004.840019
  49. 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. https://doi.org/10.5392/JKCA.2017.17.01.001
  50. 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. https://doi.org/10.1016/j.ijmedinf.2008.03.003
  51. 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. https://doi.org/10.15814/jpr.2011.15.1.58
  52. 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. https://doi.org/10.1109/ACCESS.2017.2714379
  53. 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. https://doi.org/10.6109/jkiice.2014.18.12.2989
  54. 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. https://doi.org/10.5392/JKCA.2012.12.09.369
  55. 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.
  56. 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. https://doi.org/10.1016/j.ijmedinf.2006.09.001
  57. 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. https://doi.org/10.5392/JKCA.2009.9.10.314
  58. 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. https://doi.org/10.7583/JKGS.2012.12.3.11
  59. 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.
  60. 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. https://doi.org/10.9708/jksci.2013.18.3.141
  61. 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. https://doi.org/10.21298/IJTHR.2018.02.32.2.217
  62. Kim, S. and Lee, Y., "A Study on Internet Shoppers' Motivations," Journal of Communication Science, Vol. 7, No. 2, pp. 81-110, 2007.
  63. 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. https://doi.org/10.2196/jmir.2143
  64. 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.
  65. 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. https://doi.org/10.1186/1472-6947-12-100
  66. KISA, "2017 Survey on the Internet Usage," 2018.
  67. 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. https://doi.org/10.1080/02642069.2015.1043278
  68. 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. https://doi.org/10.7838/jsebs.2016.21.4.095
  69. 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. https://doi.org/10.5392/JKCA.2012.12.04.417
  70. 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.
  71. Lee, O. and Ham, S., "A Study on Influence Factors of Mobile Healthcare Service Using Structural Equation Modeling," Journal of the Korea Academia-Industrial Coope ration Society, Vol. 18, No. 3, pp. 418-427, 2017.
  72. 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.
  73. 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.
  74. 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. https://doi.org/10.14400/JDC.2017.15.7.445
  75. 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.
  76. 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. https://doi.org/10.5392/JKCA.2012.12.02.349
  77. 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. https://doi.org/10.7838/jsebs.2011.16.4.155
  78. 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. https://doi.org/10.15814/jpr.2014.18.2.163
  79. 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. https://doi.org/10.7838/jsebs.2015.20.1.117
  80. 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. https://doi.org/10.1016/j.chb.2013.04.004
  81. 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. https://doi.org/10.1080/10864415.2004.11044303
  82. 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. https://doi.org/10.1007/s00779-010-0300-1
  83. 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.
  84. 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. https://doi.org/10.1016/j.ijmedinf.2011.08.007
  85. 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. https://doi.org/10.1016/j.im.2004.04.003
  86. 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. https://doi.org/10.1370/afm.1115
  87. Lu, J., "Are Personal Innovativeness and Social Influence Critical to Continue with Mobile Commerce?," Internet Research, Vol. 24, No. 2, pp. 134-159, 2014. https://doi.org/10.1108/IntR-05-2012-0100
  88. 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. https://doi.org/10.1016/j.chb.2004.03.003
  89. 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. https://doi.org/10.1037/a0024485
  90. 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.
  91. Markets and Markets, "mHealth Solutions Market Worth 90.49 Billion USD by 2022," https://www. mrketsandmarkets.com/PressReleases/mhealth-apps-and-solutions.asp, 2017.
  92. 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. https://doi.org/10.3389/fpsyt.2015.00120
  93. 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. https://doi.org/10.1111/j.1744-6570.2000.tb00206.x
  94. 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. https://doi.org/10.2501/S0021849907070328
  95. Mouakket, S., "Factors Influencing Continuance Intention to Use Social Network Sites: The Facebook Case," Computers in Human Behavior, Vol. 53, pp. 102-110, 2015. https://doi.org/10.1016/j.chb.2015.06.045
  96. 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.
  97. 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.
  98. Nysveen, H., Pedersen, P. E., and Thorbjornsen, H., "Explaining Intention to Use Mobile Chat Services: Moderating Effects of Gender," Journal of Consumer Marketing, Vol. 22, No. 5, pp. 247-256, 2005. https://doi.org/10.1108/07363760510611671
  99. 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.
  100. 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. https://doi.org/10.1080/10696679.1997.11501746
  101. 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. https://doi.org/10.1016/j.ijinfomgt.2016.04.005
  102. 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.
  103. 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. https://doi.org/10.15706/JKSMS.2007.8.1.004004
  104. 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. https://doi.org/10.3743/KOSIM.2017.34.3.151
  105. 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. https://doi.org/10.1016/j.jbusres.2006.06.003
  106. 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. https://doi.org/10.1016/j.chb.2008.11.005
  107. 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. https://doi.org/10.1016/j.ausmj.2010.02.002
  108. Rogers, E. M., Diffusion of Innovations, 4th Edition, Simon and Schuster, New York, 2010.
  109. San Martin, H. and Herrero, A., "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. https://doi.org/10.1016/j.tourman.2011.04.003
  110. 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. https://doi.org/10.3109/17538157.2016.1160245
  111. 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. https://doi.org/10.1108/09604520510585361
  112. 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. https://doi.org/10.5762/KAIS.2016.17.7.410
  113. 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.
  114. Shrier, D., Canale, G., and Pentland, A., Mobile Money & Payments: Technology Trends, Connection Science & Engineering, Massachusetts Institute of Technology, 2016.
  115. 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.
  116. 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.
  117. 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. https://doi.org/10.14333/KJTE.2018.34.1.97
  118. 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. https://doi.org/10.1080/00405000.2017.1371828
  119. 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. https://doi.org/10.1016/j.ijhcs.2005.04.013
  120. 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. https://doi.org/10.1016/j.socscimed.2012.07.022
  121. 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.
  122. 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. https://doi.org/10.1016/j.chb.2014.09.020
  123. 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. https://doi.org/10.1016/j.compedu.2011.03.002
  124. 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. https://doi.org/10.1111/j.1540-5915.2008.00192.x
  125. 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. https://doi.org/10.1287/mnsc.46.2.186.11926
  126. 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. https://doi.org/10.2307/3250981
  127. 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. https://doi.org/10.2307/30036540
  128. Venkatraman, M. P., "The Impact of Innovativeness and Innovation Type on Adoption," Journal of Retailing, Vol. 67, No. 1, p. 51, 1991.
  129. 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. https://doi.org/10.1016/j.im.2006.12.005
  130. 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. https://doi.org/10.5392/JKCA.2011.11.10.396
  131. 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. https://doi.org/10.1111/j.1467-8535.2007.00809.x
  132. 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. https://doi.org/10.1089/109493100316012
  133. 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. https://doi.org/10.1197/jamia.M1475
  134. 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. https://doi.org/10.1016/j.ijmedinf.2006.06.006
  135. 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. https://doi.org/10.3743/KOSIM.2017.34.1.135
  136. 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. https://doi.org/10.1111/j.1540-5414.2006.00132.x
  137. 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.
  138. 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.
  139. 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. https://doi.org/10.17280/jdd.2015.15.1.022

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