References
- H. K. Shin. (2021.08.30). Newdaily. https://biz.newdaily.co.kr/site/data/html/2021/08/30/2021083000001.html (accessed September. 19. 2021).
- H. S. Choi & S. I. Kim. (2020). A Study on User Experience of OTT Service: Focused on Netflix, Watcha and Wavve. Journal of Digital Convergence, 18(4), 425-431. Doi : http://dx.doi.org/10.14400/JDC.2020.18.4.425
- Wang Fa & J. H. Cho. (2019). A Study on the Influence of User Experience on Brand Loyalty. A Journal of Brand Design Association of Korea, 17(4), 89-102. Doi : 10.18852/bdak.2019.17.4.89
- S. B. Chang. & D. S. Youm. (2018). The Effects of User Experience on Facebook Acceptance Behavior and Advertising Acceptance Behavior. Journal of Digital Convergence, 16(3), 169-179. Doi : http://dx.doi.org/10.14400/JDC.2018.16.3.169
- B. R. Son & J. H. Choe. (2019). A Study on Improving User Experience of content recommendation function of OTT service: Focusing on Netflix and Watcha Play. The Korea Contents Association Conference. 2019(5), 309-310. Daejeon : KOCON.
- Nagaraj, S., Singh, S., & Yasa, V. R. (2021). Factors affecting consumers' willingness to subscribe to over-the-top (OTT) video streaming services in India. Technology in Society, 65, 101534. Doi : https://doi.org/10.1016/j.techsoc.2021.101534
- J. W. Won. (2021). A Study on the Design of Information Awareness by Content Type of an OTT Service. Journal of Communication Design, 75, 143-152. Doi : 10.25111/jcd.2021.75.10
- S. J. Choi & S. H. Han. (2021). Effect of Motivations on the Use of OTT Services and Consumption Value on Consumers' Satisfaction and Intentions for Continued Use. Consumer Policy and Education Review, 17(2), 61-88. Doi : http://dx.doi.org/10.15790/cope.2021.17.2.061
- D. H. Kim & N. K. Park. (2016). Effects of OTT Service Users' Use Motivations on Satisfaction and Intention of Continued Use. Korean Journal of Broadcasting & Telecommunications Research, 93, 77-110.
- H. J. Kim & C. J. Chung. (2020). The usage motivations and behaviors of Netflix users in Korea. Journal of Communication Science, 20(2), 89-129. Doi : 10.14696/jcs.2020.06.20.2.89
- H. J. You. (2020). The Comparative Study on the Behavior Characteristics Influencing the Usage of OTT Services. The e-Business Studies, 21(1), 55-72. Doi : 10.20462/TeBS.2020.02.21.1.55
- C. K. Yeo., S. H. Kang & H. G. Lee. (2021). A Study on the Continuous Usage Intention of Domestic OTT Service Users: Focused on Unified Theory of Acceptance and Use of Technology(UTAUT). Journal of Distribution and Management Research, 24(6), 91-102. Doi : 10.17961/jdmr.24.06.202112.93
- H. S. Lee., H. Y. Jin & H. S. Hwang. (2017). A Study on Factors Influencing User's Satisfaction of OTT Service. Journal of Internet Computing and Services, 18(6), 93-100. Doi : http://dx.doi.org/10.7472/jksii.2017.18.6.93
- B. J. Chun & J. M. Kim. (2020). An Analysis of the Influence of Video Characteristics, Content Characteristics and Innovative Diffusion Characteristics of Online Video Service(OTT) on Viewing Attitude of Viewers. Journal of Communication Design, 73, 9-24. Doi : 10.25111/jcd.2020.73.01
- D. K. Kim., S. H. Choi & S. J. Kim. (2017). An Analysis of the Users' Behavior Patterns in the Domestic OTT Services. The Journal of Internet Electronic Commerce Research, 17(4), 69-82.
- J. H. Yoo & J. Y. Park. (2018). A Study on the Factors Influencing Continuous Usage Intension based on OTT Service User. Korean Journal of Broadcasting & Telecommunications Research, 102, 46-79.
- S. H. Cho & D. H. Chung. (2017). Factors Influencing Users' Intentions to Use VOD or Real Time Broadcasting of OTT Service. International Telecommunications Policy Review, 24(4), 29-64.
- J. S. Woo & Y. D. Chun. (2019). The Effects of User Experience of Learning Apps based on Mobile on Satisfaction & a Study on the Mediating Effects of System Quality. Journal of Cultural Product & Design, 58, 221-229. Doi : 10.18555/kicpd.2019.58.20
- H. T. Joo & S. E. Cha. (2012). UX(User Experience) for Industrial Applications. Industrial Engineering Magazine, 19(1), 13-16.
- Y. J. Kim. (2016). The Characteristics and Awareness of User Experience Design in B2B Context: Focused on IT Service Industry in Korea. Master's thesis. Kookmin University, Seoul.
- J. W. Kim. (2012). Human Computer Interaction. Seoul : Ahngraphics.
- S. Y. Choi & E. J. Ko. (2018). The Media Structure of Netflix and User Experiences: Focusing on Behavioral Economics and the Concept of Affordance. Studies of Broadcasting Culture, 30(1), 7-42. Doi : http://dx.doi.org/10.22854/sbc.2018.30.1.7
- D. H. Shin & S. J. Kim. (2012). An Expectation-Confirmation Approach to the Users' Continued Use of Smart Phone. Korean Journal of Journalism & Communication Studies, 56(2), 331-356.
- C. H. Jung & Y. S. Chung. (2012). Determinants of the User's Satisfaction and Continued Usage Intention in IPTV Services. Journal of Digital Convergence, 10(4), 137-146. https://doi.org/10.14400/JDPM.2012.10.4.137
- S. R. Jung & H. S. Shin. (2012). Determinants of the User's Satisfaction and Continued Usage Intention in IPTV Services. The Journal of The Korea Institute of Electronic Communication Sciences, 7(5), 1087-1093. https://doi.org/10.13067/JKIECS.2012.7.5.1087
- J. H. Park & G. K. Shin. (2012). Effects of Smartphones Usability on User's Satisfaction and Loyalty: Focusing on Moderating Effect of Terms of Use. Korean Journal of Business Administration, 25(2), 811-831.
- S. B. Chang & D. S. Youm. (2018). The Effects of User Experience on Facebook Acceptance Behavior and Advertising Acceptance Behavior. Journal of Digital Convergence, 16(3), 169-179. Doi : 10.14400/JDC.2018.16. 3.169
- J. H. Ahn & S. I. Kim. (2016). Comparison the Difference of User Experience for Mobile Facebook and Instagram Using Nonparametric Statistics Methods: Focused on Emotional Interface Model. Journal of Digital Convergence, 14(11), 481-488. Doi : http://dx.doi.org/10.14400/JDC.2016.14.11.481
- Y. M. Lim., Y. S. Oh & D. S. Youm. (2019). A Study on the Effect of the Characteristics of Branded Contents on Consumers: Focused on User Satisfaction, Sharing Intention, and Intention for Continuous Use. Journal of Digital Convergence, 17(6), 59-67. Doi : http://dx.doi.org/10.14400/JDC.2019.17.6.059
- Hayes, Andrew F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling [White paper]. Retrieved from http://www.afhayes.com/public/process2012.pdf.