1 |
D. W. Kim & Y. U. Lee. (2013). The impact of user behavior, contents, function, cost on use satisfaction and the continued use intention of the N-screen service users, Journal of Broadcasting Engineering, 18(5), 749-757.
DOI
|
2 |
P. J. Choi, S. H. Sim, & H. K. Kim. (2011). A study on the impact of the service characteristics of premium internet information contents on customer satisfaction and customer loyalty, Management & Information Systems Review, 30(3), 1-25. DOI : 10.29214/damis.2011.30.3.001
|
3 |
C. S. Lin, S. Wu, & R. J. Tsai. (2005). Integrating perceived palyfulness into expectation-confirmation model for web portal context. Information and Management, 42(5), 683-693. https://doi.org/10.1016/j.im.2004.04.003
DOI
|
4 |
J. Y. L. Thong, S. J. Hong, & K. Y. Tam. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance, International Journal of Human-Computer Studies, 64, 799-810. https://doi.org/10.1016/j.ijhcs.2006.05.001
DOI
|
5 |
J. S. Lee & M. Y. Lee. (2006). Examining factors affecting the intention to use IP-TV with the extended technology acceptance. Broadcasting & Communication, 7(1), 100-131.
|
6 |
D. Y. Shim. (2018). The effect of OTT service's quality characteristics, user's characteristics on user satisfaction, loyalty, and continuous use intention. Master's Thesis, Hanyan University.
|
7 |
F. D. Davis, R. P. Bagozzi, & P. R. Warshaw. (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
DOI
|
8 |
A. Bhattacherjee. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. DOI: 10.2307/3250921
DOI
|
9 |
S. R. Lee & Y. O. Jung. (2008). A study on continued use of online shopping site using a weighted expectation-confirmation model, Korean Management Science Review, 25(3), 135-156.
|
10 |
E M. Lee. (2019). An empirical effect of the belief variables on recommendation intention for using Kiosk service, Journal of Digital Convergence, 17(6), 113-121. https://doi.org/10.14400/JDC.2019.17.6.113
DOI
|
11 |
S. Cho & H. S. Kim. (2016). Determinants of paid-VOD re-purchasing intention in IPTV platform. Journal of Korea Contents Association, 16(3), 447-465.
DOI
|
12 |
H. Y. Jang & M. J. Noh. (2011). Customer acceptance of IPTV service quality, International Journal of Information Management, 31, 582-592.
DOI
|
13 |
M. S. Kim. (2010). A study on the IPTV use perception and factors influencing IPTV adoption. Korean Journal of Communication & Information, 52(4), 177-202.
|
14 |
H. S. Lee. (2016). A study on factor influencing on user's satisfaction and loyalty of OTT service. Master's Thesis, Dongguk University.
|
15 |
D. H. Kim & N. K. Park. (2016). Effects of OTT service users use motivations on satisfaction and intention of continued use. Journal of Broadcasting and Telecommunications Research, 77-110.
|
16 |
J. Y. Zhang. (2019). A study on the characteristics of uses and effects of Chinese OTT users: Focusing on the relationships among psychological and social factors, usage factors and willingness to pay. Doctoral Dissertation, Hanyang University.
|
17 |
M. A. Atkinson & C. Kydd. (1997). Individual characteristics associated with and world wide web use: An empirical study of playfulness and motivation. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 28(2), https://doi.org/10.1145/264701.264705
|
18 |
V. Venkatesch. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239-260.
DOI
|
19 |
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.
|
20 |
Electronic Times. (2019.09.30.). Asia-Pacific OTT market size 20 trillion won by 2024. https://m.etnews.com/20190930000226
|
21 |
MezzoMedia. (2019). 2019 OTT service trend report, 1-27. http://www.mezzomedia.co.kr/data/insight_m_file/ins ight_m_file_987.pdf
|
22 |
KPMG. (2019). OTT revolution, cataclysm and business opportunities in the online video market, Issue Monitor, 109, 1-35. https://assets.kpmg/content/dam/kpmg/kr/pdf/2019/ kr-im-ott-revolution-20190612.pdf
|
23 |
M. Y. Chuttur. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Sprouts: Working Papers on Information Systems, 9(37), 1-21.
|
24 |
M. K. Lee, W. J. Kim, & M. H. Song. (2019). A study on the factors influencing continuous intention to use of OTT service users: Focused on the extension of technology acceptance model. Journal of Digital Convergence, 17(11), 537-546. DOI : 10.14400/JDC.2019.17.11.537
|
25 |
T. Gunnarsson. (2019). Global leaders of OTT video, 2018-23, Ovum. https://www.omdia.com/resources/product-content/global-leaders-of-ott-video-201823-ces003-000418
|
26 |
KISDI. (2019). Changes in global OTT market competition and business strategy following Disney + and Apple. KISDI Premium Report, 1-56.
|
27 |
D. H. Kim & N. K. Park. (2016). Effects of OTT service users use motivations on satisfaction and intention of continued use, Journal of Broadcasting and Telecommunications Research, 77-110.
|
28 |
F. D. Davis. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319-340. DOI: 10.2307/249008
DOI
|
29 |
V. Venkatesh & F. D. Davis. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
DOI
|
30 |
C. H. Hsiao & C. Yang. (2010). The intellectual development of the technology acceptance model: A co-citation analysis. International Journal of Information Management, 31, 128-136. https://doi.org/10.1016/j.ijinfomgt.2010.07.003
DOI
|
31 |
Y. Lee, K. A. Kozar, & K. R. T. Larsen. (2003). The technology acceptance model: Past, present, and future. Communications of the AIS, 12(50), 752-780. DOI: 10.17705/1CAIS.01250
|
32 |
F. D. Davis. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Unpublished Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA.
|