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Title: OTT影音平台的使用者研究:以整合科技接受與資訊系統成功模式探討行為意圖與付費意願
A study of OTT TV users’ behavioral intention and willingness to pay on the basis of integration of technology acceptance and information systems success model
Authors: 楊雅婷
Yang, Ya-Ting
Contributors: 陳憶寧
Chen, Yi-Ning
Yang, Ya-Ting
Keywords: 行為意圖
Behavioral intention
Content genre preferences
OTT video platforms
Willingness to pay
Date: 2018
Issue Date: 2018-07-24 11:05:41 (UTC+8)
Abstract: 本研究以科技接受模式與資訊系統成功模式為理論基礎,探究哪些內容品質與系統品質之因素會影響消費者使用OTT影音平台的意圖,針對影音平台使用者進行線上問卷調查,共蒐集到1062個有效樣本。研究結果發現可得性、個人化、觀看品質、內容多元性、搜尋與介面確實間接影響行為意圖,而即時性對行為意圖沒有顯著影響。在行為信念方面,知覺有用性的的影響效果最大,接著是知覺易用性、知覺愉悅性;此外,態度幾乎完全中介知覺有用性與易用性對行為意圖的效果。
This thesis explored what factors of content quality and system quality would influence consumers’ intention to use OTT video platforms on the basis of Integration of Technology Acceptance and Information Systems Success Model. A sample consists of 1,062 respondents was obtained from an online survey of video platform users in Taiwan. The results show that behavioral intention is indirectly influenced by availability, personalization, viewing quality, content variety, and navigation and interface design; however, timeliness has no significant effect on intention. In terms of behavioral belief, perceived usefulness is the most effective predictor, followed by perceived ease of use and perceived enjoyment. Besides, attitude toward usage mediated the effect that perceived usefulness and ease of use have on behavioral intention to use.
Another focus of this study is willingness to pay, which is directly influenced by behavioral intention and price value. However, whether a video platform is worth the price depends on what content the platform provides. Thus, the construct of content genre preferences is added to the research framework. The results show that content genre preferences moderate the effect that behavioral intention has on willingness to pay. Users who prefer American and European TV series or TV dramas produced in China are more willing to pay for the content. Implications for OTT video platforms are discussed in six aspects based on the findings.
Reference: 中文部分
徐子媛(2015)。《影音平台在台灣發展挑戰研究─以LINE TV為例》。臺灣藝術大學廣播電視學研究所碩士論文。
翁晨語、黃惠萍(2016年6月)。〈以延伸整合型科技接受模式和數位生活型態探討LINE TV的使用行為〉,「2016中華傳播學會」,嘉義縣民雄。
曾國峰(2016)。《台灣影視產業困境與轉機:科技創新與新商業模式》。(行政院科技部補助專題研究計畫期末報告,MOST 104-2410-H-004 -112)。臺北:政治大學廣播與電視學系。
劉幼琍(主編)(2017)。《OTT TV的創新服務、經營模式與政策法規》。台北:五南。

Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420.
Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, N J: Prentice-Hall.
Ajzen, I. & Fishbein, M. (2005). The Influence of Attitudes on Behavior. The handbook of attitudes. 173. 173-221.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Baccarne, B., Evens, T., & Schuurman, D. (2013). The television struggle: an assessment of over-the-top television evolutions in a cable dominant market. Communications & Strategies, 92(4), 43-61.
Bagozzi, R. P. & Yi, Y. (1988). On the evaluation of structural equation models.
Journal of the Academy of Marketing Science, 16(1), 74-94.
Bailey, J. E. & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545.
Benbasat, I., & Barki, H. (2007). Quo Vadis, TAM? Journal of the Association for Information System, 8(4), 211-218.
Cha, J. (2013a). Does genre type influence choice of video platform? A study of college student use of internet and television for specific video genres. Telematics and Informatics, 30(2), 189-200.
Cha, J. (2013b). Predictors of television and online video platform use: A coexistence model of old and new video platforms. Telematics and Informatics, 30(4), 296-310.
Cha, J. (2014). Usage of video sharing websites: Drivers and barriers. Telematics and Informatics, 31(1), 16-26.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS 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.
Delone, W. H., & Mclean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. Information Systems Research, 3(1), 60-95.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effect of price, brand and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307-319.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
Friedlander, J. (2017, March 2). The Future of OTT: Giving Every Consumer a Personalized Viewing Experience. Verizon Digital insight. Retrieved from
Gall-Ely, M. L. (2009). Definition, Measurement and Determinants of the Consumers Willingness to Pay: A Critical Synthesis and Avenues for Further Research. Recherche et Applications en Marketing (English Edition), 24(2), 91-112.
Gimpel, G. (2015). The Future of Video Platforms: Key Questions Shaping the TV and Video Industry. International Journal on Media Management, 17(1), 25-46.
Hartwick, J. & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465.
Hino, H. (2015). TV Today, Mobile TV Tomorrow? Extrapolating Lessons from Israeli Consumers’ Adoption of Innovative TV Viewing Technology. International Journal on Media Management, 17(2), 69-92.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). New Jersey: Prentice-Hall.
Hsiao, K. L. (2011). Why internet users are willing to pay for social networking services. Online Information Review, 35(5), 770-788.
Ives, B., Olson, M. H., & Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
Kim, T., Lee, J., & Law, R. (2008). An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model. Tourism Management, 29(3), 500-513.
Kwon, T. H. & Zmud, R. W. (1987). Unifying the fragmented models of information systems implementation. In Boland, R. J. & Hirschheim, R. A. (Eds.), Critical Issues in Information Systems Research. (pp. 227-251.). New York: John Wiley & Sons
Lee, G. & McGuiggan, R. (2009). Preferences for TV content genre: what Sydney viewers want. Paper presented at the 2009 conference of Australia & New Zealand Marketing Academy, Melbourne, Australia.
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How Habit Limits the Predictive Power of Intentions: The Case of IS Continuance. MIS Quarterly, 31(4), 705-737.
Lopes, A. and Galletta, D. (2006). Consumer perceptions and willingness to pay for intrinsically motivated online content. Journal of Management Information Systems, 23(2), 205-234.
Melone, N. (1990). A theoretical assessment of the user-satisfaction construct in information systems research. Management Science, 36(1), 76-91.
Seddon, P. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
Taylor, S. & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 145-176
technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Venkatesh, V. & Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3), 451-481.
Venkatesh, V., Morris, M. G., Davis, Davis G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
Wang, C. Y., Chang, H. C., Chou, S. C. T., & Chen, F. F. (2013). Acceptance and Willingness to Pay for Mobile TV Apps. PACIS 2013 Proceedings, 260.
Webster, I.G. (1985). Program audience duplication: A study of television inheritance effects. Journal of Broadcasting & Electronic Media, 29, 121-133.
Webster, I.G., Wakshlag, J. (1983). A theory of television program choice. Communication Research, 10, 430-446.
Wixom, B. H., & Todd, P. A. (2005). A Theoretical Integration of User Satisfaction and Technology Acceptance. Information Systems Research, 16(1), 85-102.
Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52, 2-22.

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Berton、Becky(2017年9月26日)。〈電視已死,電視永生?花開燦爛的本土OTT,離結果有多久?|OTT 產業系列報導(一)〉,《娛樂重擊》。取自
吳柏羲(2016年9月30日)。〈2016下半年線上影音內容收看載具與平台分析〉。取自「資策會MIC AISP情報顧問服務資料庫」
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秦偉翔(2015年8月25日)。〈線上影音平台發展趨勢與商機〉。取自「資策會MIC AISP情報顧問服務資料庫」
商台玉(2016年5月26日)。〈台灣娛樂產業史新一頁 一篇搞懂境外境內 OTT〉,《娛樂重擊》。取自
莊書怡(2016年9月26日)。〈眼球之爭手機大獲全勝 台灣民眾平均每天滑手機205分鐘 是看電視時間的2倍!〉,《FIND市場情報》。取自
黃慧雯(2017年9月28日)。〈台灣人每週看YouTube近15小時 趨勢無法擋〉,《中時電子報》。取自
楊安琪(2017年9月19日)。〈福斯串流影音服務「FOX+」搶進 OTT 市場,首波與中華電信合作上線〉,《科技新報》。取自
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劉孋瑩(2016年5月24日)。〈專訪三立行動媒體部副總林慧珍/Vidol專攻偶像劇 打造粉絲經濟〉,《娛樂重擊》。取自
蘇元和(2017年8月31日)。〈進軍OTT 中嘉聯手CATCHPLAY搶攻數位匯流影音商機〉,《匯流新聞網》。取自
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Data Type: thesis
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