研究生: |
徐寶林 Tu Bao Lam |
---|---|
論文名稱: |
影響越南觀眾使用 SVOD 服務意向因素之研究 A Research on Factors Affecting Vietnamese Audiences' Intention to Use SVOD Services |
指導教授: |
董澤平
Dong, Tse-Ping 吳彥濬 Wu, Yen-Chun |
口試委員: |
吳智鴻
Wu, Chih-Hung 劉志興 Liu, Zhi-xing 董澤平 Dong, Tse-Ping 吳彥濬 Wu, Yen-Chun |
口試日期: | 2022/07/22 |
學位類別: |
碩士 Master |
系所名稱: |
管理研究所 Graduate Institute of Management |
論文出版年: | 2022 |
畢業學年度: | 110 |
語文別: | 英文 |
論文頁數: | 75 |
中文關鍵詞: | 行為意向 、越南觀眾 、技術接受模型 、計劃行為理論 、基於價值的採用模型 、訂閱視頻點 |
英文關鍵詞: | Behavioral intention, Vietnamese Audiences, Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), Value-based Adoption Model (VAM), Subscription video-on-demand (SVOD) |
研究方法: | 調查研究 |
DOI URL: | http://doi.org/10.6345/NTNU202201059 |
論文種類: | 學術論文 |
相關次數: | 點閱:107 下載:8 |
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 |
COVID-19 的全球影響以一種無法預料的方式改變了世界。 COVID-19 對許多企業產生了重大影響,並具有長期影響。儘管在某些國家/地區實施了社交疏離令,但 Subscribe to Video On Demand (SVOD) 服務仍然是在大流行期間取得積極進展的少數幾個領域之一。 可見,SVOD服務行業潛力巨大,但對消費者使用SVOD服務意向的研究仍然有限。
本文的目的是識別和分析影響越南客戶使用 SVOD 服務意向的因素。從研究結果來看,提出一些影響越南消費者使用 SVOD 服務意向的政策含義。作者建立了一個研究框架,包括影響越南客戶使用 SVOD 服務意向的 6 個因素。本文的目的是識別和分析影響越南客戶使用 SVOD 服務意向的因素。從研究結果來看,提出一些影響越南消費者使用 SVOD 服務意向的政策含義。作者建立了一個研究框架,包括影響越南客戶使用 SVOD 服務意向的 6 個因素。包括來自技術接受模型 (TAM) 的兩個因素,Perceived usefulness 和 Perceived ease of use,結合來自計劃行為理論 (TPB) 的兩個因素,Subjective norm 和 Perceived behavioral control,最後來自基於價值的採用模型(VAM)的另外兩個因素,Enjoyment 和 Perceived fee。之後,通過消息傳遞應用程序和社交媒體設置並分發給參與者的問卷。 共有212人接受了調查。 數據通過Cronbach's Alpha係數、探索性因素分析和多元回歸進行檢驗和處理。 結果表明,研究模型中的所有6個因素都對越南客戶使用SVOD服務的意向產生了影響。其中,Perceived fee排名第一(Beta = 0.286),其次是Perceived usefulness(Beta = 0.233)、Subjective norms(Beta = 0.181)、Enjoyment(Beta = 0.168)、Perceived behavioral control(Beta = 0.173),最後是 Perceived ease of use(Beta = 0.155)。本論文的研究結果可以幫助 SVOD 服務提供商更好地了解消費者對 SVOD 服務的行為,從而在越南市場製定更有效的營銷策略。
The worldwide impact of COVID-19 has changed the world in an unforeseen way. COVID-19 has impacted a number of businesses significantly, with long-term implications. Despite social distancing orders in some countries, the Subscribe to Video On Demand (SVOD) service still stands out as one of the few areas that has made favorable strides during the pandemic. Therefore, we can see that the SVOD service industry has great potential, but the number of research on consumer behavior towards SVOD services is still limited.
In this thesis, the goal is to identify and analyze the factors affecting the intention to use SVOD services of Vietnamese audiences. From the research results, there are some policy implications affecting the intention to use SVOD services of Vietnamese consumers. The author has built a research framework including 6 factors affecting the intention to use SVOD services of Vietnamese audiences. Including 2 factors from the Technology Acceptance Model (TAM) , which are perceived usefulness and ease of use, combined with subjective norm and perceived behavioral control from the Theory of Planned Behavior model (TPB), along with two other factors from Value-based Adoption Model (VAM), enjoyment and perceived fee. After that, a questionnaire was set up and distributed to the participants via messaging apps and social media. A total of 212 people were surveyed. The data is checked and processed by Cronbach's Alpha coefficient, exploratory factor analysis and multiple regression. The results show that all 6 factors in the research model have an impact on the intention to use SVOD services of Vietnamese audiences. In which, Perceived fee is ranked first (Beta = 0.286), followed by Perceived usefulness (Beta = 0.233), Subjective norms (Beta = 0.181), Enjoyment (Beta = 0.168), Perceived behavioral control (Beta = 0.173), and finally Perceived ease of use (Beta= 0.155). The findings of this thesis can assist SVOD service providers in gaining a better understanding of consumer behavior toward SVOD services, allowing for more effective marketing tactics in the Vietnamese market.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. and M. Fishbein, (1970). The prediction of behavior from attitudinal and normative variables. Journal of Experimental Social Psychology, 6(4), 466-487. https://doi.org/10.1016/0022-1031(70)90057-0
Ana, S., Minoo, F., & Aviv, S. (2007). Hofstede's dimensions of culture in international marketing studies. Journal of Business Research, 60(3), 277–284. https://doi.org/10.1016/j.jbusres.2006.10.018
Yousaf, A., Mishra, A., Taheri, B., & Kesgin, M. (2021). A cross-country analysis of the determinants of customer recommendation intentions for over-the-top (OTT) platforms. Information & Management,, 58(8), 103543. https://doi.org/10.1016/j.im.2021.103543
Austerberry, D. (2004). The Technology of Video and Audio Streaming. New York: Routledge.
BBT. (2019). Broadcasting services on the Internet - Trend of service provision in the period of international integration. Ministry of Information and Communications of Vietnam.
Ben, M. (2019). Global OTT video market to be worth $72.8B by 2023, report says. FierceVideo.
Cebeci, U., Ince, O., & Turkcan, H. (2019). Understanding the Intention to Use Netflix: An Extended Technology Acceptance Model Approach. International Review of Management and Marketing, 9(6), 152–157. https://doi.org/10.32479/irmm.8771
Dasgupta, S., & Grover, P. (2019). Understanding Adoption Factors of Over-theTop Video Services Among Millennial Consumers. International Journal of Computer Engineering and Technology, 61-71. https://doi.org/10.34218/ijcet.10.1.2019.00
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Dörr, J., Wagner, T., Benlian, A., & Hess, T. (2013). Music as a service as an alternative to music piracy? Business & Information Systems Engineering, 5(6), 383–396. https://doi.org/10.1007/s12599-013-0294-0
Fernandes, T. &. (2019). Drivers and deterrents of music streaming services purchase intention. International Journal of Electronic Business, 15(1), 21. https://doi.org/10.1504/IJEB.2019.10020273
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading: MA: Addison-Wesley.
Frandsen, K. (2017). Tv-entertainment Crossmediality and Knowledge – A Research Project. Nordicom Review, 28(2), 133–143. https://doi.org/10.1504/10.1515/nor-2017-0214
Heijden, H. v. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695-704. https://doi.org/10.1504/10.2307/25148660
Holzhauer, B. (2020). Americans Are Cord Cutting In Record Numbers—And It’s Not Slowing Down Anytime Soon. Forbes.
Jarvey, Natalie. (2017). Can CBS Change the Streaming Game With ‘Star Trek: Discovery’? The Holywood Reporter.
Helms Mills, J., Thurlow, A., & Mills, A. J. (2010). Making sense of sensemaking: the critical sensemaking approach. Qualitative Research in Organizations and Management, 5(2), 182–195. https://doi.org/10.1108/17465641011068857
Joe, H., Marko, S., Lucas, H. & Volker, G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Kian, P., Boon, H., Fong, L., & Ai, J. (2017). Factors that influence the consumer purchase intention in social media websites. International Journal of Supply Chain Management, 6(4), 208–214.
Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126. https://doi.org/10.1016/j.dss.2005.05.009
Klein, F., Emberger-Klein, A., Menrad, K., Möhring, W., & Blesin, J.-M. (2019). Influencing factors for the purchase intention of consumers choosing bioplastic products in Germany. Sustainable Production and Consumption, 19, 33–43. https://doi.org/10.1016/j.spc.2019.01.004
Koul, S., Ambekar, S. S., & Hudnurkar, M. (2020). Determination and ranking of factors that are important in selecting an over-the-top video platform service among millennial consumers. International Journal of Innovation Science, 13(1), 53–66. https://doi.org/10.1108/IJIS-09-2020-0174
Kwon, K., & Seo, K. . (2013). Application of value-based adoption model to analyze SaaS adoption behavior in Korean B2B cloud market. International Journal of Advancements in Computing Technolog, 5, 368–373.
Lee, C.C., Nagpal, P., Ruane, S.G., & Lim, H.S. (2018). Factors Affecting Online Streaming Subscriptions. Communications of the IIMA,16, 2.
Leong, L., Ooi, K., Chong, A., & Lin, B. (2013). Modelling the stimulators of the behavioral intention to use mobile entertainment: does gender really matter? Computers in Human Behavior, 29(5), 2109–2121. https://doi.org/10.1016/j.chb.2013.04.004
Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3), 173–191. https://doi.org/10.1287/isre.2.3.173
Morgan, A. (2021). The Complete Guide to VOD (and Why Your Business Needs to Be Using It). Uscreen.
Nguyen, T. T. (2021). Customer Experience: Processes and Solutions. SaoKim Branding.
Nunnally, J.C. and Bernstein, I.H. (1994). The Assessment of Reliability. Psychometric Theory, 3, 248-292.
Park, S. & Kwon, Y. (2019). Research on the Relationship between the Growth of OTT Service Market and the Change in the Structure of the Pay-TV Market. 30th European Conference of the International Telecommunications Society (ITS): "Towards a Connected and Automated Society".
Shin, S., & Park, J. (2021). Factors affecting users' satisfaction and dissatisfaction of OTT services in South Korea. Telecommunications Policy, 45(9), 102203. https://doi.org/10.1016/j.telpol.2021.102203
Pham, H., Le, P., & Nguyen, H. (2021). Factors affecting the consumer bahavior in VietNam. Tap chi cong thuong.
Phong, H. (2022, 05 13). Retrieved 22 06, 2022, from laodongthudo.vn: https://laodongthudo.vn/thi-truong-truyen-hinh-ott-khi-cuoc-choi-bat-can-bang-139911.html
Pongnatpanich, P., & Visamitanan, K. (2016). Factors affecting purchase intention on online music streaming service of smartphone users in Thailand. BU Academic Review, 15, 69–84.
PwC. (2020). pwc.com. Scribbr. https://www.pwc.com/us/en/services/consulting/library/consumer-intelligence-series/consumer-video-streaming-behavior.html
Q&Me. (2020). Vietnam video streaming market study. Hanoi: Q&Me.
R. Cooke & P. Sheeran. (2004). Moderation of cognition-intention and cognition-behaviour relations: a meta-analysis of properties of variables from the theory of planned behaviour. The British journal of social psychology, 43(2), 159-186. https://doi.org/10.1348/0144666041501688
Ramíez-Correa, P., Mariano-Mello, T., & Mariano, A. (2017). Factors explaining the acceptance of Netflix in Brazil: the role moderator of the experience. 14th INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS & TECHNOLOGY MANAGEMENT - CONTECSI - 2017, 497-505. https://doi.org/10.5748/9788599693131-14CONTECSI/PS-4468
ResearchDive. (2020). Rapid Growth In Demand For Live Streaming Channels, During The COVID-19 Chaos, To Promote The Development Of Global Over-The-Top (OTT) Market. Research Dive.
Richard M. Ryan and Edward L. Deci. (2000). Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology, 25(1), 54-67. https://doi.org/10.1006/ceps.1999.1020
Rieke, S., Fowler, D., Chang, H., & Velikova, N. (2016). Exploration of factors influencing body image satisfaction and purchase intent: Millennial females. Journal of Fashion Marketing and Management, 20(2), 208-229. https://doi.org/10.1108/JFMM-12-2015-0094
Saini, C. and Gupta, N. (2020). Interrelated factors driving the purchase of over-the-top television subscription services: A study using exploratory factor analysis and the decision-making trial and evaluation laboratory method. Applied Marketing Analytics, 6(1), 73-84.
Samala, N., Soumya, S. & Venkat R. (2021). Factors affecting consumers’ willingness to subscribe to over-the-top (OTT) video streaming services in India. Technology in Society, 65, 101534.https://doi.org/10.1016/j.techsoc.2021.101534
Sarbjit, S., Sukhwinder K. & Amit K. (2017). Understanding Web Experience and Perceived Web Enjoyment as Antecedents of Online Purchase Intention. Global Business Review, 18(2), 465–477. https://doi.org/10.1177/0972150916668614
Shim, H., & Kim, K. (2018). An exploration of the motivations for binge-watching and the role of individual differences. Computers in Human Behavior, 82, 94–100. https://doi.org/10.1016/j.chb.2017.12.032
Statista. (2019). Subscription Video On Demand. Retrieved from Statista.
Statista. (2021). Internet usage in Vietnam - statistics & facts. Retrieved from Stastista.
Statista. (2022). SVOD revenue worldwide 2016-2026. Julia Stoll.
Technavio. (2019). Over the Top (OTT) Market by Content Type and Geography - Global Forecast & Analysis 2019-2023. Chicago: Technavio.
Teo, T., & Zhou, M. (2014). Explaining the intention to use technology among university students: a structural equation modeling approach. Journal of Computing in Higher Education, 26(2), 124–142. https://doi.org/10.1007/s12528-014-9080-3
Teo, T., Wong, S.L., & Chai, C.S. (2008). A Cross-cultural Examination of the Intention to Use Technology between Singaporean and Malaysian pre-service Teachers: An Application of the Technology Acceptance Model (TAM). Educational Technology & Society, 11, 265–280.
Thomas J. Madden, Pamela Scholder Ellen, Icek Ajzen. (1992). A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action. Personality and Social Psychology Bulletin, 18(1), 3–9. https://doi.org/10.1177/0146167292181001
Trong Hoang and Ngoc Chu. (2005). Analyze research data with SPSS. Thong Ke publishing company.
Tuangporn Leowarin and Kandapa Thanasuta. (2021). Consumer Purchase Intention for Subscription Video-on-demand Service in Thailand. TNI Journal of Business Administration and Language, 9(1), 14-26.
uNoGS. (2021). celebrity.fm. Scribbr. https://celebrity.fm/how-many-movies-are-on-netflix-library/
Venkatesh, V. T. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly,36(1), 157-178. https://doi.org/10.2307/41410412
Wang, Y., Wang, S., & Wang,S. (2018). What drives users’ intentions to purchase a GPS Navigation app: The moderating role of perceived availability of free substitutes. Internet Research, 28(1), 251–274. https://doi.org/10.1108/IntR-11-2016-0348
Wayne, M. L. (2017). Netflix, Amazon, and Branded Television Content in Subscription Video On-Demand Portals. Media Culture & Society, 40(5), 725–741. https://doi.org/10.1177/0163443717736118
Werner, P. (2004). Reasoned action and planned behavior. In S. J. Timothy S., Middle range theories: Application to nursing research (pp. 125-147). Philadeliphia: Lippincott, Williams, & Wilkins.
Xavier, A. (2013). Big & personal: data and models behind netflix recommendations. In W. Fan, BigMine '13: Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (pp. 1–6). New York: Association for Computing Machinery.
Yoo, J., Lee, J. & Lee, D. (2020). A verification of motivations for over-the-top binge and short viewing of audio-visual content. New Review of Hypermedia and Multimedia, 26(3–4), 93–122. https://doi.org/10.1080/13614568.2020.1865464