簡易檢索 / 詳目顯示

研究生: 翁嘉彣
Weng, Chia-Wen
論文名稱: 以推敲可能性模型探討OTT影音串流平台使用者之行為意圖—以Netflix為例
Using ELM Model to Explore the Behavioral Intention of OTT Video Streaming Platform Users—Take Netflix as an Example
指導教授: 林佑鴻
Lin, You-Hung
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 105
中文關鍵詞: 推敲可能性模型OTT影音串流平台社會影響行為意圖
外文關鍵詞: ELM, OTT Media Services, Social Influence, Behavior Intention
相關次數: 點閱:144下載:72
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 網路技術的蓬勃發展與2019年底爆發的COVID-19徹底地改變人們的生活與消費型態,OTT (Over-the-Top)影音串流平台則逐漸成為人們在疫情期間娛樂的重要管道。然而,Netflix作為產業龍頭,面對需求帶動的市場競爭,推出廣告方案並針對共享方案進行限制,期望能有效提升平台服務的訂閱數。不過,新方案執行將有助於找出隱藏的訂閱者,抑或是將嚴重影響到消費者的忠誠度,導致訂閱數不增反減。有鑑於此,本研究希望能了解消費者訂閱OTT影音串流平台的關鍵因素,並結合新方案進行探討。
    過去關於OTT影音串流平台的研究大多著重在新科技與服務的接受與採用,本研究將延伸討論業者的策略可行性與社會影響所帶來衝擊。因此,本研究以Petty與Cacioppo於1981年所提出的推敲可能型模型為基礎,研究價格價值、內容品質、系統品質、商譽及社群行銷對消費者訂閱OTT影音串流平台的行為意圖所產生之影響,並進一步以社會影響作為調節變數探討其對所產生之調節效果。
    本研究透過網路問卷發放收回413份有效問卷,並以SPSS及PLS軟體進行樣本資料分析、敘述性統計分析、結構方程模型分析、路徑分析及調節效果分析。本研究的結果顯示,價格價值、內容品質、系統品質、商譽及社群行銷對行為意圖皆具有正向顯著的關係,而社會影響只對價格價值與行為意圖之間的關係產生顯著的調節效果。

    OTT media services have gradually become an important channel for people to entertain during the epidemic. However, Netflix launched a “Basic with Ads” plan and restricted the sharing plan in the face of demand-driven market competition. The implementation of the new plans will help to find hidden subscribers, or it will result in the number of subscriptions not increasing but decreasing. In view of this, this study hopes to understand the key factors for consumers to subscribe to OTT video streaming platforms.

    In the past, most of the research on OTT media services focused on the acceptance and adoption of new technologies and services. Therefore, this study is based on the Elaboration Likelihood Model proposed by Petty and Cacioppo in 1981, and studies the effects of price value, content quality, system quality, reputation, social media marketing, and social influence on consumers' subscription to OTT media services. At the same time, the social influence is used as a moderating variable to explore its moderating effect.

    In this study, 413 valid questionnaires were collected through online questionnaire distribution, and SPSS and PLS were used for sample data analysis, descriptive statistical analysis, SEM analysis, path analysis and moderated analysis. The results of this study show that price value, content quality, system quality, reputation, social media marketing, and social influence all have positive and significant relationships with behavioral intention, while social influence only affects the relationship between price value and behavioral intention.

    摘要 i Abstract ii 目錄 vi 表目錄 viii 圖目錄 x 第一章 緒論 1 第一節、研究背景 1 第二節、研究動機 6 第三節、研究目的 8 第四節、研究流程及內容 9 第二章 文獻回顧 11 第一節、OTT影音串流服務平台 11 第二節、推敲可能性模型 15 第三節、中央路徑 18 第四節、邊陲路徑 22 第五節、行為意圖 25 第六節、社會影響 27 第三章 研究方法 28 第一節、研究架構 28 第二節、研究假設 30 第三節、操作型定義及問卷設計 37 第四章 資料分析 47 第一節、樣本資料分析 47 第二節、敘述性統計分析 53 第三節、因素分析與信效度分析 58 第四節、結構方程模型分析 63 第五章 結論與建議 71 第一節、研究結果 71 第二節、研究貢獻與實務意涵 76 第三節、研究限制與未來研究建議 79 參考文獻 81 附錄 97

    Adjei, M. T., Noble, S. M., & Noble, C. H. (2010). The influence of C2C communications in online brand communities on customer purchase behavior. Journal of the Academy of Marketing Science, 38, 634-653.
    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.
    Ahn, Y. Y., Han, S., Kwak, H., Moon, S., & Jeong, H. (2007, May). Analysis of topological characteristics of huge online social networking services. In Proceedings of the 16th international conference on World Wide Web (pp. 835-844).
    Ajzen, I., & Fishbein, M. (1977). Attitude–behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888–918.
    Aladwani, A. M., & Palvia, P. C. (2002). Developing and validating an instrument for measuring user-perceived web quality. Information & management, 39(6), 467-476.
    Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110.
    Alalwan, A., Dwivedi, Y., & Williams, M. (2014). Examining factors affecting customer intention and adoption of internet banking in Jordan.
    Albornoz, L. A., & García Leiva, M. T. (2022). Netflix Originals in Spain: challenging diversity. European Journal of Communication, 37(1), 63-81.
    Anderson, C. A. (1983). Imagination and expectation: The effect of imagining behavioral scripts on personal influences. Journal of personality and social psychology, 45(2), 293.
    Barney, J. B. (1986). Strategic factor markets: Expectations, luck, and business strategy. Management science, 32(10), 1231-1241.
    Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of consumer research, 15(4), 473-481.
    Bennett, R., & Gabriel, H. (2001). Reputation, trust and supplier commitment: the case of shipping company/seaport relations. Journal of business & industrial marketing, 16(6), 424-438.
    Berry, L. L. (1995). Relationship marketing of services—growing interest, emerging perspectives. Journal of the Academy of marketing science, 23, 236-245.
    Beyah, G., Xu, P., Woo, H., Mohan, K., & Straub, D. (2003). Development of an instrument to study the use of recommendation systems.
    Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS quarterly, 805-825.
    Bitner, M. J., & Obermiller, C. (1985). The elaboration likelihood model: Limitations and extensions in marketing. ACR North American Advances.
    Bobadilla, J., Ortega, F., Hernando, A., & Gutiérrez, A. (2013). Recommender systems survey. Knowledge-based systems, 46, 109-132.
    Bolton, L. E., Warlop, L., & Alba, J. W. (2003). Consumer perceptions of price (un) fairness. Journal of consumer research, 29(4), 474-491.
    Bonabeau, E. (2004). The perils of the imitation age. Harvard business review, 82(6), 45-54.
    Cacioppo, J. T., & Petty, R. E. (1984). The elaboration likelihood model of persuasion. ACR North American Advances.
    Campbell, C., Ferraro, C., & Sands, S. (2014). Segmenting consumer reactions to social network marketing. European Journal of Marketing, 48(3/4), 432-452.
    Cao, Y., & Gruca, T. S. (2004). The influence of pre‐and post‐purchase service on prices in the online book market. Journal of Interactive Marketing, 18(4), 51-62.
    Capozzi, L. (2005). Corporate reputation: our role in sustaining and building a valuable asset. Journal of Advertising research, 45(3), 290-293.
    Cha, J. (2014). Usage of video sharing websites: Drivers and barriers. Telematics and Informatics, 31(1), 16-26.
    Cha, J. (2013). 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., & Chan-Olmsted, S. M. (2012). Substitutability between online video platforms and television. Journalism & Mass Communication Quarterly, 89(2), 261-278.
    Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of marketing, 64(4), 65-81.
    Chang, H. H., Wong, K. H., & Li, S. Y. (2017). Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators. Electronic Commerce Research and Applications, 24, 50-67.
    Chang, Y. T., Yu, H., & Lu, H. P. (2015). Persuasive messages, popularity cohesion, and message diffusion in social media marketing. Journal of Business Research, 68(4), 777-782.
    Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209-218.
    Cheema, U., Rizwan, M., Jalal, R., Durrani, F., & Sohail, N. (2013). The trend of online shopping in 21st century: Impact of enjoyment in TAM Model. Asian journal of empirical research, 3(2), 131-141.
    Chen, Y. F. (2008). Herd behavior in purchasing books online. Computers in Human Behavior, 24(5), 1977-1992.
    Chen, Y. H. H., & Corkindale, D. (2008). Towards an understanding of the behavioral intention to use online news services: An exploratory study. Internet Research, 18(3), 286-312.
    Cheng, X., Guo, F., Chen, J., Li, K., Zhang, Y., & Gao, P. (2019). Exploring the trust influencing mechanism of robo-advisor service: A mixed method approach. Sustainability, 11(18), 4917.
    Cheong, J. H., & Park, M. C. (2005). Mobile internet acceptance in Korea. Internet research, 15(2), 125-140.
    Chi, C. G. Q., & Qu, H. (2008). Examining the structural relationships of destination image, tourist satisfaction and destination loyalty: An integrated approach. Tourism management, 29(4), 624-636.
    Chiu, H. C. (2002). A study on the cognitive and affective components of service quality. Total Quality Management, 13(2), 265-274.
    Christopher, M., Payne, A. and Ballantyne, D. (1991), Relationship Marketing: Bringing Quality, Customer Service and Marketing Together, Butterworth Heinemann, Oxford.
    Clark, M., & Melancon, J. (2013). The influence of social media investment on relational outcomes: A relationship marketing perspective. International Journal of Marketing Studies, 5(4), 132.
    Cyr, D., & Head, M. (2013). Website design in an international context: The role of gender in masculine versus feminine oriented countries. Computers in Human Behavior, 29(4), 1358-1367.
    DeLone, W. and McLean, E., (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. (1985). The effect of brand and price information on subjective product evaluations. ACR North American Advances.
    Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 28(3), 307-319.
    Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer–seller relationships. Journal of marketing, 61(2), 35-51.
    Ekstrand, M. D., Harper, F. M., Willemsen, M. C., & Konstan, J. A. (2014, October). User perception of differences in recommender algorithms. In Proceedings of the 8th ACM Conference on Recommender systems (pp. 161-168).
    Filieri, R., Acikgoz, F., & Du, H. (2023). Electronic word-of-mouth from video bloggers: The role of content quality and source homophily across hedonic and utilitarian products. Journal of Business Research, 160, 113774.
    Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior reading, MA. Addison-Wesley.
    Ganuza, J. J., & Viecens, M. F. (2013). The challenge of over-the-top content and services. Broadband in Latin America: Beyond Connectivity. LC/G. 2583-P. 2012. p. 319-339.
    Gefen, D., & Larsen, K. R. (2017). Controlling for lexical closeness in survey research: A demonstration on the technology acceptance model. Journal of the Association for Information Systems, 18(10), 1.
    Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the association for Information Systems, 1(1), 8.
    Ghasemaghaei, M., & Hassanein, K. (2016). A macro model of online information quality perceptions: A review and synthesis of the literature. Computers in Human Behavior, 55, 972-991.
    Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. The Journal of Strategic Information Systems, 19(3), 207-228.
    Gregory, C. K., Meade, A. W., & Thompson, L. F. (2013). Understanding internet recruitment via signaling theory and the elaboration likelihood model. Computers in human Behavior, 29(5), 1949-1959.
    Gremler, D. D., & Gwinner, K. P. (2000). Customer-employee rapport in service relationships. Journal of Service Research, 3(1), 82–104
    Greussing, E., & Boomgaarden, H. G. (2019). Simply bells and whistles? Cognitive effects of visual aesthetics in digital longforms. Digital Journalism, 7(2), 273-293.
    GroÈnroos, C. 1990. Service Management and Marketing Managing. Managing the Moments of Truth in Service Competition. Lexington, MA: Free Press/Lexington Books.
    Han, G. J. J. (2014). Six major shifts and implications of the video distribution ecosystem in the era of N-screen and OTT services: A case of US media industry. The Journal of the Korea Contents Association, 14(8), 342-364.
    Harris, L. C., & Goode, M. M. (2004). The four levels of loyalty and the pivotal role of trust: a study of online service dynamics. Journal of retailing, 80(2), 139-158.
    Hasan, B. (2016). Perceived irritation in online shopping: The impact of website design characteristics. Computers in Human Behavior, 54, 224-230.
    Hino, H. (2015). Assessing factors affecting consumers' intention to adopt biometric authentication technology in e-shopping. Journal of Internet Commerce, 14(1), 1-20.
    Hino, H., & Amichai-Hamburger, Y. A. (2013). The influence of the new media environment on TV viewing of Israeli consumers.
    Hoffman, D. L., Novak, T. P., & Peralta, M. (1999). Building consumer trust online. Communications of the ACM, 42(4), 80-85.
    Holmlund, M., & Kock, S. (1996). Relationship marketing: the importance of customer-perceived service quality in retail banking. Service Industries Journal, 16(3), 287-304.
    Hong, J. C., Tai, K. H., Hwang, M. Y., Kuo, Y. C., & Chen, J. S. (2017). Internet cognitive failure relevant to users' satisfaction with content and interface design to reflect continuance intention to use a government e-learning system. Computers in Human Behavior, 66, 353-362.
    Hooper, M., Moyler, A., & Nicoll, R. (2010). Over The Top TV (OTT TV) delivery platforms review. Paper BCI.
    Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & management, 41(7), 853-868.
    Huang, J. H., Lee, B. C., & Hsun Ho, S. (2004). Consumer attitude toward gray market goods. International marketing review, 21(6), 598-614.
    Huizingh, E. K. (2000). The content and design of web sites: an empirical study. Information & management, 37(3), 123-134.
    Jiao, Y., Ertz, M., Jo, M. S., & Sarigollu, E. (2018). Social value, content value, and brand equity in social media brand communities: A comparison of Chinese and US consumers. International Marketing Review, 35(1), 18-41.
    Kandampully, J. (1998). Service quality to service loyalty: A relationship which goes beyond customer services. Total quality management, 9(6), 431-443.
    Kandampully, J., & Duddy, R. (1999). Relationship marketing: a concept beyond the primary relationship. Marketing intelligence & planning.
    Kang, J. W., & Namkung, Y. (2019). The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189-198.
    Keller, K. L. (2013). Brand equity and integrated communication. In Integrated Communication (pp. 113-142). Psychology Press.
    Kelman, H. C. (1958). Compliance, identification, and internalization three processes of attitude change. Journal of conflict resolution, 2(1), 51-60.
    Kerr, G., Schultz, D. E., Kitchen, P. J., Mulhern, F. J., & Beede, P. (2015). Does traditional advertising theory apply to the digital world?: a replication analysis questions the relevance of the elaboration likelihood model. Journal of Advertising Research, 55(4), 390-400.
    Kim, J., Kim, S., & Nam, C. (2016). Competitive dynamics in the Korean video platform market: Traditional pay TV platforms vs. OTT platforms. Telematics and Informatics, 33(2), 711-721.
    Kim, M. J., Chung, N., Lee, C. K., & Preis, M. W. (2016). Dual-route of persuasive communications in mobile tourism shopping. Telematics and Informatics, 33(2), 293-308.
    Kim, M. S., Kim, E., Hwang, S., Kim, J., & Kim, S. (2017). Willingness to pay for over-the-top services in China and Korea. Telecommunications Policy, 41(3), 197-207.
    Kim, T. G., Lee, J. H., & 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.
    Kwak, K. T., Oh, C. J., & Lee, S. W. (2021). Who uses paid over-the-top services and why? Cross-national comparisons of consumer demographics and values. Telecommunications Policy, 45(7), 102168.
    Lau, G. T., & Lee, S. H. (1999). Consumers' trust in a brand and the link to brand loyalty. Journal of Market-Focused Management, 4, 341-370.
    Laukkanen, T., & Lauronen, J. (2005). Consumer value creation in mobile banking services. International journal of mobile Communications, 3(4), 325-338.
    Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8(3), 130-141.
    Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of marketing, 80(6), 69-96.
    Li, C. R., Zhang, E., & Han, J. T. (2021). Adoption of online follow-up service by patients: An empirical study based on the elaboration likelihood model. Computers in human behavior, 114, 106581.
    Liao, L., & Huang, T. (2021). The effect of different social media marketing channels and events on movie box office: An elaboration likelihood model perspective. Information & Management, 58(7), 103481.
    Lim, S., & Lee, Y. J. (2013). N Screen service users' motivations for use and dissatisfying factors. The Journal of the Korea Contents Association, 13(3), 99-108.
    Lin, J. C. C., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. International journal of information management, 20(3), 197-208.
    Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with Web site success in the context of electronic commerce. Information & management, 38(1), 23-33.
    Liu, C. J., & Chuang, Y. F. (2015). From Sluggish to Brisk: An analysis of Taiwan׳ s cable TV digitalization policy. Telecommunications Policy, 39(11), 980-995.
    Liu, I. F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. (2010). Extending the TAM model to explore the factors that affect intention to use an online learning community. Computers & education, 54(2), 600-610.
    Lu, J., Wu, D., Mao, M., Wang, W., & Zhang, G. (2015). Recommender system application developments: a survey. Decision support systems, 74, 12-32.
    Lury, C., & Day, S. (2019). Algorithmic personalization as a mode of individuation. Theory, Culture & Society, 36(2), 17-37.
    Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International journal of information management, 34(1), 1-13.
    Martín-Consuegra, D., Díaz, E., Gómez, M., & Molina, A. (2019). Examining consumer luxury brand-related behavior intentions in a social media context: The moderating role of hedonic and utilitarian motivations. Physiology & behavior, 200, 104-110.
    Medina, M., Herrero-Subías, M., & Guerrero-Perez, E. (2015). Audience behaviour and multiplatform strategies: the path towards connected TV in Spain.
    Miniard, P. W., & Cohen, J. B. (1983). Modeling personal and normative influences on behavior. Journal of Consumer Research, 10(2), 169-180.
    Moon, J., & Park, C. (2015). An analysis of competitive factors and strategies that determine performance of OTT business. Broadcasting & Communication, 16(2), 5-36.
    Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of marketing, 58(3), 20-38.
    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.
    Nicita, A., & Rossi, M. A. (2008). Access to audio-visual contents, exclusivity and anticommons in new media markets. Communications and Strategies, 71(3), 79–101.
    Njenga, K., & Ndlovu, S. (2012, August). On privacy calculus and underlying consumer concerns influencing mobile banking subscriptions. In 2012 Information Security for South Africa (pp. 1-9). IEEE.
    Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information systems research, 13(2), 151-167.
    Palmer, J. W., & Griffith, D. A. (1998). An emerging model of Web site design for marketing. Communications of the ACM, 41(3), 44-51.
    Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991). Understanding customer expectations of service. MIT sloan management review.
    Park, D. H., & Lee, J. (2008). eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic commerce research and applications, 7(4), 386-398.
    Penrose, E. T. (1959). The Theory of the Growth of the Firm. New York: John Wiley
    Petty, R. E., & Cacioppo, J. T. (1996). Addressing disturbing and disturbed consumer behavior: Is it necessary to change the way we conduct behavioral science?. Journal of Marketing Research, 33(1), 1-8.
    Phua, J., & Ahn, S. J. (2016). Explicating the ‘like’on Facebook brand pages: The effect of intensity of Facebook use, number of overall ‘likes’, and number of friends'‘likes’ on consumers' brand outcomes. Journal of Marketing Communications, 22(5), 544-559.
    Prahalad, C.K. (1993), “The role of core competencies in the corporation”, Research Technology Management, Vol. 36 No. 6, November‐December, pp. 40‐7.
    Prince, J., & Greenstein, S. (2017). Measuring consumer preferences for video content provision via cord‐cutting behavior. Journal of Economics & Management Strategy, 26(2), 293-317.
    Raake, A., & Egger, S. (2014). Quality and quality of experience. Quality of Experience: Advanced concepts, applications and methods, 11-33.
    Rakesh, V., Pudiyavitil, A., & Chandrashekar, J. (2020). User Modeling and Churn Prediction in Over-the-top Media Services. In ORSUM@ RecSys.
    Raleting, T., & Nel, J. (2011). Determinants of low-income non-users' attitude towards WIG mobile phone banking: Evidence from South Africa. African Journal of Business Management, 5(1), 212.
    Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & management, 39(6), 457-465.
    Roberts, P. W., & Dowling, G. R. (2002). Corporate reputation and sustained superior financial performance. Strategic management journal, 23(12), 1077-1093.
    Rochet, J. C., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the european economic association, 1(4), 990-1029.
    Ruiz-Mafe, C., Bigne-Alcañiz, E., Sanz-Blas, S., & Tronch, J. (2018). Does social climate influence positive eWOM? A study of heavy-users of online communities. BRQ Business Research Quarterly, 21(1), 26-38.
    Sahu, G., Gaur, L., & Singh, G. (2021). Applying niche and gratification theory approach to examine the users' indulgence towards over-the-top platforms and conventional TV. Telematics and Informatics, 65, 101713.
    Santos, J. (2003). E‐service quality: a model of virtual service quality dimensions. Managing service quality: An international journal, 13(3), 233-246.
    Schiffman, L. G., & Kanuk, L. L. (2000). Consumer behavior, 7th. NY: Prentice Hall, 15-36.
    Schmidt, J.B. (1996), “A proposed model of external customer information search”, Journal of the Academy of Marketing Science, Vol. 24 No. 3, pp. 245-56.
    Shah, S., & Mehta, N. (2022). Over-the-Top (OTT) Streaming Services: Studying Users’ Behaviour Through the UTAUT Model. Management and Labour Studies, 0258042X221137438.
    Shaikh, S., & Aggarwal, A. (2020). Lockdown a blessing in disguise?.
    Shen, J. (2023, May). Assessing Factors Influencing Consumer Purchase Intention for Over-the-Top (OTT) Video Services in China: A Perceived Value Theory and UTAUT Perspective. In 8th International Conference on Financial Innovation and Economic Development (ICFIED 2023) (pp. 294-305). Atlantis Press.
    Shin, D. H. (2009). An empirical investigation of a modified technology acceptance model of IPTV. Behaviour & Information Technology, 28(4), 361-372.
    Shin, J., Park, Y., & Lee, D. (2016). Strategic management of over-the-top services: Focusing on Korean consumer adoption behavior. Technological Forecasting and Social Change, 112, 329-337.
    Sujata, J., Sohag, S., Tanu, D., Chintan, D., Shubham, P., & Sumit, G. (2015). Impact of over the top (OTT) services on telecom service providers. Indian Journal of Science and Technology, 8(S4), 145-160.
    Su, L., Swanson, S. R., Chinchanachokchai, S., Hsu, M. K., & Chen, X. (2016). Reputation and intentions: The role of satisfaction, identification, and commitment. Journal of Business Research, 69(9), 3261-3269.
    Troise, C., O'Driscoll, A., Tani, M., & Prisco, A. (2021). Online food delivery services and behavioural intention–a test of an integrated TAM and TPB framework. British Food Journal, 123(2), 664-683.
    Van Cuilenburg, J. (1999). On competition, access and diversity in media, old and new: Some remarks for communications policy in the information age. New media & society, 1(2), 183-207.
    Vărzaru, A. A., Bocean, C. G., Rotea, C. C., & Budică-Iacob, A. F. (2021). Assessing antecedents of behavioral intention to use mobile technologies in e-commerce. Electronics, 10(18), 2231.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 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, 157-178.
    Von Dran, G., & Zhang, P. (2002, December). A theoretical model of quality websites: a multi-disciplinary conceptualization. In Decision Sciences Institute 2002 Proceedings.
    Voss, G. B., Parasuraman, A., & Grewal, D. (1998). The roles of price, performance, and expectations in determining satisfaction in service exchanges. Journal of marketing, 62(4), 46-61.
    Wang, Z., & Yang, X. (2019). Understanding backers’ funding intention in reward crowdfunding: An elaboration likelihood perspective. Technology in Society, 58, 101149.
    Weeds, H. (2016). TV wars: Exclusive content and platform competition in pay TV. The Economic Journal, 126(594), 1600-1633.
    Williams, M. R. (1998). The influence of salespersons’ customer orientation on buyer‐seller relationship development. Journal of business & industrial Marketing.
    Woo, J., Choi, J. Y., Shin, J., & Lee, J. (2014). The effect of new media on consumer media usage: An empirical study in South Korea. Technological Forecasting and Social Change, 89, 3-11.
    Wu, H. C., Cheng, C. C., & Ai, C. H. (2018). A study of experiential quality, experiential value, trust, corporate reputation, experiential satisfaction and behavioral intentions for cruise tourists: The case of Hong Kong. Tourism management, 66, 200-220.
    Yang, J.J., Ahn S.C. (2020). The effects of attitude, subjective norm, and behavioral intention on perceived values in traditional marketplaces. Journal of Distribution Science, 18(10), 25-38.
    Yang, K. C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and informatics, 22(3), 257-277.
    Yoo, C. W., Goo, J., Huang, C. D., Nam, K., & Woo, M. (2017). Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy. Technological Forecasting and Social Change, 123, 330-341.
    Yoo, J. H., & Park, J. Y. (2018). A study on the factors influencing continuous usage intension based on OTT service user. Journal of Broadcasting and Telecommunications Research, 102, 46-79.
    Zhang, T. C., Omran, B. A., & Cobanoglu, C. (2017). Generation Y’s positive and negative eWOM: use of social media and mobile technology. International Journal of Contemporary Hospitality Management, 29(2), 732-761.
    Zhou, T. (2012). Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in human behavior, 28(4), 1518-1525.
    Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in human behavior, 26(4), 760-767.

    下載圖示 校內:立即公開
    校外:立即公開
    QR CODE