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Factors influencing intention to use fpt play – a vietnamese video streaming service

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VIETNAM NATIONAL UNIVERSITY, HANOI VIETNAM JAPAN UNIVERSITY NGUYEN KIEU TRANG FACTORS INFLUENCING INTENTION TO USE FPT PLAY – A VIETNAMESE VIDEO STREAMING SERVICE MASTER’S THESIS VIETNAM NATIONAL UNIVERSITY, HANOI VIETNAM JAPAN UNIVERSITY NGUYEN KIEU TRANG FACTORS INFLUENCING INTENTION TO USE FPT PLAY – A VIETNAMESE VIDEO STREAMING SERVICE MAJOR: BUSINESS ADMINISTRATION CODE: 8340101.01 RESEARCH SUPERVISORS: PROF DR INOUE TOHRU DR HINO YOSHIFUMI Hanoi, 2021 ACKNOWLEDGEMENT First of all, I would like to thank Prof Dr Tohru Inoue, Dr Yoshifumi Hino for enthusiastically guiding me and giving me valuable advice during my process of writing this thesis In addition, I would like to thank all professors and staff of Vietnam Japan University (VJU) in general, and MBA department, in particular, for their dedication to supporting students during their two years of pursuing course at VJU At the same time, I would also like to express my deep gratitude to all professors from Yokohama National University (YNU) who taught us during MBA course, as well as YNU IPO staff for their unwavering support throughout our 4-month online internship at YNU Finally, I would also like to thank my dear classmates for accompanying me through challenging exams and presentations Two years studying at VJU with them will be the most memorable days in my life TABLE OF CONTENTS LIST OF TABLES i LIST OF FIGURES .ii CHAPTER INTRODUCTION 1.1 Research background 1.2 Research purpose 1.3 Research questions 1.4 Research contribution 1.5 Structure of the research CHAPTER LITERATURE REVIEW 2.1 Definitions of video streaming service 2.1.1 OTT media service 2.1.2 Video streaming service 2.2 Overview of FPT Play 2.3 Theoretical background 2.3.1 UTAUT model and UTAUT2 2.3.2 The concept of Perceived Value 10 2.4 Hypotheses development and research model 11 2.4.1 Perceived benefit 11 2.4.2 Perceived sacrifice 13 2.4.3 Perceived Value 14 2.4.4 Social Influence 15 CHAPTER RESEARCH METHODOLOGY 16 3.1 Research process 16 3.2 Proposed measuring items 16 3.3 Sampling and data collection 19 3.4 Data analysis 20 CHAPTER DATA ANALYSIS 23 4.1 Descriptive statistics 23 4.2 Preliminary assessment of the model’s reliability and validity 24 4.2.1 Reliability analysis (Cronbach’s alpha measurement) 24 4.2.2 Exploratory Factor Analysis (EFA) 26 4.3 PLS SEM analysis 30 4.3.1 Measurement model 31 4.3.2 Structural model 32 4.3.3 Hypothesis testing 32 CHAPTER DISCUSSION AND CONCLUSION 35 5.1 Discussion on research findings 35 5.2 Research contribution 39 5.3 Limitation and suggestion for further research 40 REFERENCES 42 APPENDIX DATA ANALYSIS RESULTS 47 APPENDIX QUESTIONNAIRE 53 LIST OF TABLES Table 4.1 List of measuring items 17 Table 4.1 Demographic information of respondents 23 Table 4.2 Summary of Cronbach's alpha value 25 Table 4.3 Initial results of EFA 26 Table 4.4 Initial result of Total variance explained 27 Table 4.5 Initial result of Rotated component matrix 28 Table 4.6 Result of KMO EFA after removing TE3 29 Table 4.7 Result of Rotated component matrix after removing TE3 30 Table 4.8 Result of R square 32 Table 4.9 Result of hypotheses testing 33 Table 4.10 Specific indirect relationship 33 Table 4.11 Result of affecting level (f square) 34 i LIST OF FIGURES Figure 3.1 Proposed conceptual framework 15 Figure 4.1 Research process 16 Figure 4.1 Initial Cronbach's alpha value of PU 25 Figure 4.2 Cronbach' alpha value of PU after removing PU2 26 Figure 4.3 SEM diagram 32 ii CHAPTER INTRODUCTION 1.1 Research background The technological developments have made people access to information easier than ever, hence a movement in media usage A notable example of technological advances is the appearance Over the top (OTT) solution, which obtains the advantage of providing users with a rich and diverse source of content anytime as long as there is appropriate device connected with Internet In addition, OTT also provides many other utility tools with high applicability such as VoIP (Voice over Internet protocol), social network, live broad casting For those benefits, OTT solution is expected to develop even more strongly in the future With two elements of mobility and Internet, which make OTT more superior than traditional cable TV, OTT has quickly become a new wave in the entertainment industry and received enthusiastic reception from users (Shim & Kim, 2018) Regarding OTT solution, one of the most popular services right now is video streaming, with globally famous providers such as Netflix, HBO, Hulu, Amazon Prime or Disney+, which recently launched in 2019 (a new ambition of Walt Disney in video streaming industry) The video streaming market is not limited only by those names, which all come from USA, some countries and other regions around the world have been developing their video streaming platforms There are some notable candidates like Tencent and iQiyi from China, or AcornTv and MUBI from Europe Vietnam, mentioned by World Bank as “one of the most dynamic emerging countries in East Asia region”, does not stand out of this video streaming trend There are several evidences to show that video streaming industry has high potential to bloom in Vietnam Up to now, this industry in Vietnam experiences the competition among several companies, in terms of both global and domestic ones Big foreign players like Netflix, HBO, Amazon Prime, etc have already been available in Vietnam; and the worth mentioning Vietnamese firms are ClipTV, FPT play, VTVcab ON, VTC Now, My K+ NOW, etc… According to a survey by Ho Chi Minh City market research company Q&Me in March 2020, there are most popular video streaming services in Vietnam, in which out of companies originates from Vietnam, Netflix remains the only foreign player in the top (Q&me, 2020) Among platforms, Netflix stayed at the second position, right after FPT play, a streaming service owned by tech giant FPT Corporation The revenue growth of the video streaming industry in Vietnam is quite promising that is predicted to increase up to 113% by 2023 (Statista, 2020a) In addition, regarding the number of Internet users in Vietnam, Datareportal's figures indicate that there were 68.17 million users at the point of January 2020, which increased by 10% as compared to 2019 (Datareportal, 2020) This figure is forecasted to constantly grow, according to an analysis by Statista in 2019, the numbers of people using Internet is predicted to reach 75.7 million people in 2023; Statista also points out Vietnamese spends about hours per day on the internet on average, mainly for entertainment purpose (Statista, 2020b) The potential of video streaming services is even more pronounced than ever amid Covid19 As lockdown is implemented as a solution to deal with the pandemic, people have been called for “social distancing” by just staying home safely One of the things that helps people overcome the boredom during lockdown is to experience online entertainment services The survey of Q&Me showed that social distancing and travel restriction made the rate of using video streaming platforms at home increased to 97%; of which, the figure for feature films and series is 60%; music videos account for 50%; game shows and reality show reality shows account for 48% The director of FPT Play also shared that the number of customers enjoying contents on FPT Play increased times as compared to the period before the lockdown (Moc Lan, 2020) Distributing contents on online platforms not only benefits audiences amid the pandemic, but it also serves as a means to save film producers As the Covid-19 pandemic continued to break out around the world, the movie theater systems in many countries have had to shut down, an action taken by many film studios to overcome this situation is to release movies on digital platform, instead of waiting for theaters to be reopened, which helps film producers avoid loss in profit and reach break-even point if possible (Phan, 2020b) All of the evidences aforementioned show that video streaming services, step by step, are reorienting customer’s behavior, even becoming the future of entertainment industry, hence, the competition in this industry is also becoming fiercer in the world in general, and in Vietnam in particular The expansion of foreign streaming services places great pressure on domestic providers Although currently FPT Play - a domestic streaming service is still the most popular one in Vietnam, this dominant position could not be hold in the future when Netflix, the biggest rival of FPT Play in Vietnam, is staying right behind (Q&me, 2020) Netflix is even more ambitious when they express their desire to produce contents in Vietnam (with Vietnamese native elements), which is similar to the way Netflix has done and achieved in Korea (Korean films and series produced and distributed by Netflix are becoming dominant both in quantity and quality on Netflix, which helps spread out Korean cultures, also known as “Hallyu wave”) (Phan, 2020a) To compete with international giant like Netflix as well as other emerging domestic competitors, FPT play might have to become more creative, more innovative and more personalized to offer audiences the most suitable contents To achieve that, the understanding of user’s psychology is extremely important In the world, there are several studies on streaming services, however, the majority are pieces of research about the online music industry The numbers of papers regarding video streaming are still limited Some pieces of paper can be mentioned such as studies about intention to use Netflix by Melo-Mariano et al., (2017) and Cebeci et al., (2019); or research on video streaming service based on TPB framework (Sardanelli et al., 2019) Whereas in Vietnam, to the author’s best knowledge, video streaming service has only been researched in the master thesis of Le (2019) In which, this author adopts UTAUT2 by Venkatesh et al (2012) to explore factors that impact intention to subscribe to SVOD in general Given the background and situations aforementioned, this research would like to go further by exploring usage intention from the perspective of value maximization, based on the nature of a cost-benefit relationship, and focusing on a specific domestic video streaming service that is FPT Play 1.2 Research purpose The main purpose of this research is to explore the factors influencing intention to use FPT Play, by applying a cost-benefit framework, in combination with UTAUT2 proposed by Venkatesh et al (2012) 1.3 Research questions This study is conducted to answer the following questions: REFERENCES Ajzen, I (1991) Ajzen, I (1991) The theory of planned behavior Organizational Behavior and Human Decision Processes.The theory of planned behavior In Organizational Behavior and Human Decision Processes Amatriain, X (2013) Big & personal: Data and models behind Netflix recommendations Proc of 2nd Int Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013 - Held in Conj with SIGKDD 2013 Conf https://doi.org/10.1145/2501221.2501222 Barclay, D., Thompson, R., dan Higgins, C (1995) The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use an Illustration Technology Studies, Carpenter, J M., & Moore, M (2009) Utilitarian and hedonic shopping value in the US discount sector Journal of Retailing and Consumer Services https://doi.org/10.1016/j.jretconser.2008.10.002 Cassel, C., Hackl, P., & Westlund, A H (1999) Robustness of partial least-squares method for estimating latent variable quality structures Journal of Applied Statistics https://doi.org/10.1080/02664769922322 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 https://doi.org/10.32479/irmm.8771 Chandon, P., Wansink, B., & Laurent, G (2000) A benefit congruency framework of sales promotion effectiveness Journal of Marketing https://doi.org/10.1509/jmkg.64.4.65.18071 Chen, L., Zhou, Y., & Chiu, D M (2014) A study of user behavior in online VoD services Computer Communications https://doi.org/10.1016/j.comcom.2014.01.009 Chen, Y C., Shang, R A., & Lin, A K (2008) The intention to download music files in a P2P environment: Consumption value, fashion, and ethical decision perspectives Electronic Commerce Research and Applications https://doi.org/10.1016/j.elerap.2008.02.001 Cheong, J., & Park, M C (2005) Mobile internet acceptance in Korea Internet Research https://doi.org/10.1108/10662240510590324 Chu, C W., & Lu, H P (2007) Factors influencing online music purchase intention in Taiwan: An empirical study based on the value-intention framework Internet Research, 17(2), 139–155 https://doi.org/10.1108/10662240710737004 Cohen, J (1988) Statistical power analysis for the behavioural sciences Hillside In NJ: Lawrence Earlbaum Associates Datareportal (2020) DIGITAL 2020: VIETNAM https://datareportal.com/reports/digital-2020-vietnam 42 Davis, F D (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology MIS Quarterly: Management Information Systems, 13(3), 319–339 https://doi.org/10.2307/249008 Davis, F D., Bagozzi, R P., & Warshaw, P R (1992) Extrinsic and Intrinsic Motivation to Use Computers in the Workplace Journal of Applied Social Psychology https://doi.org/10.1111/j.1559-1816.1992.tb00945.x Dörr, J., Wagner, T., Hess, T., & Benlian, A (2013) Music as a service as an alternative to music piracy?: An empirical investigation of the intention to use music streaming services Business and Information Systems Engineering https://doi.org/10.1007/s12599-013-0294-0 FCC (2015) Annual assessment of the status of competition in the market for the delivery of video programming In Federal Communications Commission Fornell, C., & Larcker, D F (1981) Evaluating Structural Equation Models with Unobservable Variables and Measurement Error Journal of Marketing Research https://doi.org/10.2307/3151312 George, D., & Mallery, P (2010) SPSS for Windows Step by Step: A Simple Guide and Reference Fourth Edition Boston: Pearson Education, Inc Hair, J F., Hult, G T M., Ringle, C M., & Sarstedt, M (2014) A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Second Edition In California: Sage Hair, Joseph F, Black, W C., Babin, B J., & Anderson, R E (2010) Multivariate Data Analysis In Vectors https://doi.org/10.1016/j.ijpharm.2011.02.019 Henseler, J., & Chin, W W (2010) A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling Structural Equation Modeling https://doi.org/10.1080/10705510903439003 Henseler, J., Ringle, C M., & Sarstedt, M (2015) A new criterion for assessing discriminant validity in variance-based structural equation modeling Journal of the Academy of Marketing Science https://doi.org/10.1007/s11747-014-0403-8 Jacoby, J (2002) Stimulus-organism-response reconsidered: An evolutionary step in modeling (consumer) behavior In Journal of Consumer Psychology https://doi.org/10.1207/153276602753338081 Jones, M A., Reynolds, K E., & Arnold, M J (2006) Hedonic and utilitarian shopping value: Investigating differential effects on retail outcomes Journal of Business Research https://doi.org/10.1016/j.jbusres.2006.03.006 Keil, M., Beranek, P M., & Konsynski, B R (1995) Usefulness and ease of use: field study evidence regarding task considerations Decision Support Systems https://doi.org/10.1016/0167-9236(94)E0032-M 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 Kim, Y K (2002) Consumer value: An application to mall and Internet shopping 43 International Journal of Retail & Distribution Management https://doi.org/10.1108/09590550210453075 King, W R., & He, J (2006) A meta-analysis of the technology acceptance model Information and Management https://doi.org/10.1016/j.im.2006.05.003 Le, K P (2019) Factors affecting intention to subscribe SVOD in Vietnam [Vietnam Japan University] http://repository.vnu.edu.vn/handle/VNU_123/93294 Leong, L Y., Ooi, K B., Chong, A Y L., & Lin, B (2013) Modeling the stimulators of the behavioral intention to use mobile entertainment: Does gender really matter? Computers in Human Behavior https://doi.org/10.1016/j.chb.2013.04.004 Li, J P., & Kishore, R (2006) How robust is the UTAUT instrument? A multigroup invariance analysis in the context of acceptance and use of online community weblog systems SIGMIS CPR’06 - Proceedings of the 2006 ACM SIGMIS CPR Conference, 183–189 Lin, H H., & Wang, Y S (2006) An examination of the determinants of customer loyalty in mobile commerce contexts Information and Management https://doi.org/10.1016/j.im.2005.08.001 Lin, T C., Hsu, J S C., & Chen, H C (2013) Customer Willingness to pay for online music: The role of free mentality Journal of Electronic Commerce Research Llamas, R., & Stofega, W (2009) Worldwide Converged Mobile Device 2009-2013 (Forecast U) Framingham: IDC Lu, H P., & Hsiao, K L (2010) The influence of extro/introversion on the intention to pay for social networking sites Information and Management https://doi.org/10.1016/j.im.2010.01.003 Lucas, H C., & Spitler, V K (1999) Technology use and performance: A field study of broker workstations Decision Sciences https://doi.org/10.1111/j.15405915.1999.tb01611.x Mehrabian, A., & Russell, J A (1974) An approach to environmental psychology The MIT Press Melo-Mariano, A., Ramírez-Correa, P., & Mariano-Mello, T (2017) Factors explaining the acceptance of netflix in brazil: the role moderator of the experience Proceedings of the 14th CONTECSI International Conference on Information Systems and Technology Management https://doi.org/10.5748/978859969313114contecsi/ps-4468 Moc Lan (2020) Covid19 puts movies streaming on reign https://suckhoedoisong.vn/covid-19-dua-phim-truc-tuyen-len-ngoi-n174391.html Monroe, K B (1990) Pricing: Making profitable decisions McGraw-Hill Pub Co Nunnally, J., & Bernstein, I (1994) Psychometric Theory, 3rd edn, 1994 McGrawHill, New York Parasuraman, A., & Grewal, D (2000) The impact of technology on the quality-valueloyalty chain: A research agenda Journal of the Academy of Marketing Science https://doi.org/10.1177/0092070300281015 Phan, T (2020a) Netflix and the story of cooperating for filmmaking in Vietnam 44 https://thanhnien.vn/van-hoa/netflix-va-cau-chuyen-hop-tac-lam-phim-o-vietnam-1200316.html Phan, T (2020b) Newly theatrically released movies to be stream on online platforms https://thanhnien.vn/van-hoa/chieu-truc-tuyen-phim-dien-anh-moi-ra-lo1213629.html Q&me (2020) Vietnam video streaming market study https://qandme.net/en/report/vietnam-video-streaming-market-study.html Rintamäki, T., Kanto, A., Kuusela, H., & Spence, M T (2006) Decomposing the value of department store shopping into utilitarian, hedonic and social dimensions: Evidence from Finland International Journal of Retail & Distribution Management https://doi.org/10.1108/09590550610642792 Sardanelli, D., Vollero, A., Siano, A., & Bottoni, G (2019) Lowering the pirate flag: a TPB study of the factors influencing the intention to pay for movie streaming services Electronic Commerce Research https://doi.org/10.1007/s10660-01909346-7 Shen, K N., & Khalifa, M (2012) System design effects on online impulse buying Internet Research https://doi.org/10.1108/10662241211250962 Shim, H., & Kim, K J (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 (2020a) Video Streaming (SvoD) Vietnam https://www.statista.com/outlook/206/127/video-streaming svod-/vietnam Statista (2020b) Vietnam: number of internet users 2017-2023 https://www.statista.com/statistics/369732/internetusers-vietnam/ Subramanian, G H (1994) A Replication of Perceived Usefulness and Perceived Ease of Use Measurement Decision Sciences https://doi.org/10.1111/j.15405915.1994.tb01873.x Susanno, R., Phedra, R., & Murwani, I A (2019) The determinant factors of the intention to spend more time binge-watching for Netflix Subscriber in Jakarta Journal of Research in Marketing Venkatesh, V., Morris, M G., Davis, G B., & Davis, F D (2003) User acceptance of information technology: Toward a unified view MIS Quarterly: Management Information Systems, 27(3), 425–478 https://doi.org/10.2307/30036540 Venkatesh, V., Thong, J Y L., & Xu, X (2012) Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology MIS Quarterly: Management Information Systems https://doi.org/10.2307/41410412 Wagner, T M., & Hess, T (2013) What drives users to pay for freemium services? Examining people’s willingness to pay for music services 19th Americas Conference on Information Systems, AMCIS 2013 - Hyperconnected World: Anything, Anywhere, Anytime Wang, Y S., Yeh, C H., & Liao, Y W (2013) What drives purchase intention in the 45 context of online content services? the moderating role of ethical self-efficacy for online piracy International Journal of Information Management, 33(1), 199–208 https://doi.org/10.1016/j.ijinfomgt.2012.09.004 Widaman, K F (1995) Issues in Applied Structural Equation Modeling Research Structural Equation Modeling: A Multidisciplinary Journal https://doi.org/10.1080/10705519509540017 Wu, L., Kang, M., & Yang, S B (2015) What makes users buy paid smartphone applications? Examining app, personal, and social influences Journal of Internet Banking and Commerce Zeithaml, V A (1988) Consumer Perceptions of Price, Quality, and Value: A MeansEnd Model and Synthesis of Evidence Journal of Marketing, 52(3), 2–22 https://doi.org/10.1177/002224298805200302 46 APPENDIX DATA ANALYSIS RESULTS Cronbach’s alpha analysis Perceived enjoyment (PE) Technicality (TE) 47 Perceived fee (PF) Perceived Value (PV) 48 Social Influence (SI) Usage intention (UI) 49 Outer loadings PE PE1 0.870 PE2 0.847 PE3 0.880 PF PF1 0.869 PF2 0.855 PF3 0.877 PU PU3 0.841 PU4 0.761 PU5 0.779 PV PV1 0.884 PV2 0.884 PV3 0.881 SI TE SI1 0.848 SI2 0.819 SI3 0.887 TE1 0.844 TE2 0.770 TE4 0.829 TE5 0.800 UI UI1 0.886 UI2 0.876 UI3 0.897 PU1 0.786 50 Construct reliability and validity Composite Average Variance Reliability Extracted (AVE) PE 0.900 0.750 PF 0.901 0.752 PU 0.871 0.628 PV 0.914 0.780 SI 0.888 0.726 TE 0.885 0.658 UI 0.917 0.785 Discriminant validity Fornell-Larcker Criterion PE PF PU PV SI TE UI PE 0.866 PF 0.497 0.867 PU 0.396 0.347 0.793 PV 0.533 0.564 0.468 0.883 SI 0.446 0.394 0.356 0.390 0.852 TE 0.505 0.436 0.378 0.424 0.509 0.811 UI 0.477 0.479 0.452 0.510 0.420 0.463 0.886 Heterotrait-Monotrait Ratio (HTMT) PE PF PU PV SI TE UI PE PF 0.591 PU 0.463 0.423 PV 0.623 0.664 0.550 SI 0.535 0.478 0.421 0.456 TE 0.592 0.508 0.441 0.473 0.620 UI 0.553 0.560 0.535 0.590 0.487 0.533 51 Collinearity statistics (VIF) PE PF PU PV PE 1.600 PF 1.443 PU 1.275 SI TE UI PV 1.180 SI 1.180 TE 1.482 UI 52 APPENDIX QUESTIONNAIRE A GENERAL INFORMATION Gender: - Male Female Age: - From 18 to 24 From 25 to 30 From 31 to 40 Above 40 Salary: - Below million VND From million to 10 million VND From 11 million to 20 million VND Above 20 million VND Are you currently use any video streaming services? - Yes No From what channel you know about FPT Play? (more than answer) - Friends and colleagues Family Social media 53 B RESPONDENT’S OPINION: To what extent you agree/disagree with this opinion? Totally Disagree Neutral Agreed Totally agreed disagree Group A: Perceived usefulness Degree of agreement PU1 Using FPT play could enable me to approach the 5 5 programs that I want to watch more quickly PU2 Using FPT Plays could enhance my appreciation of programs PU3 Using FPT Play could help me find acquire information about programs more easily PU4 FPT Play provides a variety of programs (in terms of genres, contents) PU5 Overall, I find FPT Play is a useful video streaming platform Group B: Perceived enjoyment Degree of agreement PE1 5 Watching programs on FPT Play can make me feel pleasant PE2 Using FPT Play to watch movies, TV shows brings me excitement PE3 Overall, I find FPT Play is an interesting video streaming platfor Group C: Technicality Degree of agreement TE1 FPT Play platform can be connected instantly and stably TE2 FPT Play platform responds quickly 54 TE3 The system of FPT Play is reliable without any 5 concerns about privacy or virus TE4 My interaction with FPT Play is clear and understandable TE5 In general, I find it is not easy to use FPT Play to watch programs Group D: Perceived fee Degree of agreement PF1 5 (Not mentioning free programs), the price that I have to pay for premium programs on FPT Play is reasonable PF2 (Not mentioning free programs), the price for premium programs on FPT Play is in line with my expectation PF3 Overall, (Not mentioning free programs), I am satisfied with the price I have to pay if I want to watch premium programs on FPT Play Group E: Social Influence Degree of agreement SI1 5 People who are important to me think that I should use FPT Play to watch programs SI2 People who influence my behavior think that I should use FPT play to watch programs SI3 People whose opinions I value prefer that I use FPT Play to watch programs Group F: Perceived Value Degree of agreement PV1 (Apart from free programs), compared to the fee I have 5 to pay to watch premium programs, the use of FPT Play offers me good value PV2 Compared to the time I need to spend on, I find the use of FPT Play is worthwhile to me PV3 Compared to the effort I need to put in, I find the use of FPT Play is beneficial to me 55 Group G: Usage intention Degree of agreement UI1 5 The likelihood that I would create my account on FPT Play to watch programs is high UI2 My willingness to create my account on FPT Play to watch programs is high UI3 In the near future, I plan to create my account on FPT Play to watch programs 56

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