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    题名: 從免費到付費：影響YouTube使用者加入YouTube付費頻道會員之關鍵因素探討
    From Free to Freemium：Explore the Key Factors for YouTube Users to Purchase YouTube Channel Membership
    作者: 林久益
    Lin, Chiu-Yi
    贡献者: 洪為璽
    Hung, Wei-Hsi
    林久益
    Lin, Chiu-Yi
    关键词: YouTube頻道會員
    免費增值商業模式
    期望確認理論
    計畫行為論
    YouTube Channel Membership
    Freemium Business Model
    Expectation Confirmation Model
    Theory of Planned Behavior
    日期: 2021
    上传时间: 2021-08-04 14:47:15 (UTC+8)
    摘要: 　　隨著網路科技的發展與行動裝置及個人電腦的普及，YouTube已成為全球最多人使用的影音社群平台之一。YouTube頻道會員制度是維持多年免費的YouTube平台推出的一項僅有付費才能享有的服務，但現今消費者逐漸有意願付費支持自己喜歡的影音創作者，因此，本研究想找出究竟哪些因素會影響當前YouTube使用者購買頻道會員的意願，並驗證影響持續觀看意圖的關鍵因素是否會影響使用者採用免費增值商業模式(如：應用程式、遊戲等)。
    　　本研究透過網路問卷的形式進行資料蒐集，共回收670份問卷，其中579份為有效問卷，並採用SmartPLS 3進行資料分析。分析結果發現：第一，有6個因素具有顯著影響使用者購買YouTube頻道會員之意圖，分別是感知有用性、YouTuber可信度、替代品吸引力、使用者對於購買虛擬商品的態度、使用者過往購買虛擬商品的經驗、購買頻道會員後得到的相對優勢。第二，使用者的持續觀看相同YouTube頻道之意圖被使用者的觀看影片後得到的滿意度、對YouTuber態度、替代品吸引力影響，然而YouTuber可信度與持續觀看意圖並無顯著相關性。第三，影片滿意度會受到使用者對於該影片的感知有用性及感知享樂性正向顯著影響。上述結果可作為與YouTube相似背景主題的研究參考依據，並為經營頻道會員制的YouTuber提供有效的指標。
    　　With the development of Internet technology and the fact that mobile devices and personal computers are widely spreading, YouTube has become one of the most popular video community platforms in the world. YouTube Channel Membership is the Paid-to-Use features on YouTube. Spectators nowadays are willing to support their beloved video creators or Internet celebrities by donating or spending money. This research aims to find out the key factors that induce current YouTube users’ willingness to purchase YouTube Channel Membership and verify whether the key factors that affect continuous watching intention correspond to so called “Freemium Business Model”.
    　　The result shows that 6 factors affect users’ purchase channel membership intention, which are users’ perceived usefulness toward the free videos, YouTuber’s trustworthiness, alternative channel/video attractiveness, attitude toward buying virtual goods, purchasing-virtual-goods experience, and the relative advantage after buying channel membership. The analysis also reveals that users’ continuous watching intention is influenced by satisfaction toward free videos, attitude toward the YouTuber, and alternative channel/video attractiveness whereas the effect between continuous watching intention and YouTuber’s trustworthiness is not supported. Satisfaction toward free videos is positively associated with users’ perceived usefulness and perceived enjoyment toward the free video. The above results can be used as suggestions for research on topics related to YouTube, and provide effective indicators for YouTubers who are providing Channel Membership option.
    參考文獻: 英文文獻
    Ajzen, I. (1985). From intentions to actions: A theory of planned behavior Action control. Berlin : Springer.
    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
    Alha, K., Koskinen, E., Paavilainen, J., Hamari, J., & Kinnunen, J. (2014). Free-to-Play Games: Professionals` Perspective. Proceedings of DiGRA Nordic 2014.
    Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258-274.
    Anderson, C. (2010). Free: How Today`s Smartest Businesses Profit by Giving Something for Nothing. New York: Hyperion.
    Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125-143.
    Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.
    Atkin, C., & Block, M. (1983). Effectiveness of celebrity endorsers. Journal of Advertising Research, 23(1), 57-61.
    Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
    Bapna, R., & Umyarov, A. (2015). Do your online friends make you pay? A randomized field experiment on peer influence in online social networks. Management Science, 61(8), 1902-1920.
    Bem, D. J. (1972). Self-perception theory. Advances in Experimental Social Psychology, 6, 1-62.
    Bhattacherjee, A. (2000). Acceptance of e-commerce services: the case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(4), 411-420.
    Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214.
    Bhattacherjee, A. (2001b). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
    Bishop, S. (2019). Managing visibility on YouTube through algorithmic gossip. New Media & Society, 21(11-12), 2589-2606.
    Bolton, R. N., Lemon, K. N., & Verhoef, P. C. (2008). Expanding business-to-business customer relationships: Modeling the customer`s upgrade decision. Journal of Marketing, 72(1), 46-64.
    Bowman, D., & Narayandas, D. (2004). Linking customer management effort to customer profitability in business markets. Journal of Marketing Research, 41(4), 433-447.
    Burgess, J., & Green, J. (2009). YouTube: Digital media and society series. Cambridge: Polity.
    Burnham, T. A., Frels, J. K., & Mahajan, V. (2003). Consumer switching costs: a typology, antecedents, and consequences. Journal of the Academy of Marketing Science, 31(2), 109-126.
    Cadwallader, C. (2019). Influencing millennials: Key components for an effective influencer marketing campaign. Unpublished master’ s thesis, Arcada University of Applied Sciences, Finland.
    Chiu, W., Cho, H., & Chi, C. G. (2020). Consumers` continuance intention to use fitness and health apps: an integration of the expectation–confirmation model and investment model. Information Technology & People, 34(3), 978-998.
    Cohen, J. (2013). Statistical power analysis for the behavioral sciences. New York : Academic Press.
    Corrêa, S. C. H., Soares, J. L., Christino, J. M. M., de Sevilha Gosling, M., & Gonçalves, C. A. (2020). The influence of YouTubers on followers’ use intention. Journal of Research in Interactive Marketing, 14(2), 173-194.
    Crano, W. D. (1970). Effects of sex, response order, and expertise in conformity: A dispositional approach. Sociometry, 33(3), 239-252.
    Dabholkar, P. A., Shepherd, C. D., & Thorpe, D. I. (2000). A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 76(2), 139-173.
    Dai, H. M., Teo, T., Rappa, N. A., & Huang, F. (2020). Explaining Chinese university students’ continuance learning intention in the MOOC setting: A modified expectation confirmation model perspective. Computers & Education, 150, 103850.
    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.
    Dawson, S., Bloch, P. H., & Ridgway, N. (1990). Shopping motives, emotional states, and. Journal of Retailing, 66(4), 408-427.
    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.
    Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21-21.
    Eisend, M. (2006). Source credibility dimensions in marketing communication–A generalized solution. Journal of Empirical Generalisations in Marketing Science, 10(2), 1-33.
    Erdogan, B. Z. (1999). Celebrity endorsement: A literature review. Journal of Marketing Management, 15(4), 291-314.
    Fang, B., Zheng, Z., Ye, Q., & Goes, P. B. (2019). Social influence and monetization of freemium social games. Journal of Management Information Systems, 36(3), 730-754.
    Fernandes, T., & Guerra, J. (2019). Drivers and deterrents of music streaming services purchase intention. International Journal of Electronic Business, 15(1), 21-42.
    Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research, Journal of Business Venturing, 5, 177-189.
    Flanagin, A. J., & Metzger, M. J. (2003). The perceived credibility of personal Web page information as influenced by the sex of the source. Computers in Human Behavior, 19(6), 683-701.
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
    Freeman, B., & Chapman, S. (2007). Is “YouTube” telling or selling you something? Tobacco content on the YouTube video-sharing website. Tobacco Control, 16(3), 207-210.
    Fu, X.-m., Zhang, J.-h., & Chan, F. T. (2018). Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory. Transportation Research Part A: Policy and Practice, 113, 476-490.
    George, J. F. (2002). Influences on the intent to make Internet purchases. Internet Research, 12(2), 165-180.
    George, J. F. (2004). The theory of planned behavior and Internet purchasing. Internet Research, 14(3), 198-212.
    Guo, Y., & Barnes, S. (2011). Purchase behavior in virtual worlds: An empirical investigation in Second Life. Information & Management, 48(7), 303-312.
    Guo, Y., & Barnes, S. J. (2012). Explaining purchasing behavior within World of Warcraft. Journal of Computer Information Systems, 52(3), 18-30.
    Gupta, A., Yousaf, A., & Mishra, A. (2020). How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model. International Journal of Information Management, 52, 102094.
    Gupta, R., Kishore, N., & Verma, D. (2015). IMPACT OF CELEBRITY ENDORSEMENTS ON CONSUMERS’PURCHASE INTENTION. Australian Journal of Business and Management Research, 5(3), 1-15.
    Hair, J., Black, W., & Babin, B. (1998). RE Anderson, RL Tatham, and W. C. Black, Multivariate data analysis.(5th ed.). NJ: Prentice—Hall.
    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
    Hamari, J. (2015). Why do people buy virtual goods? Attitude toward virtual good purchases versus game enjoyment. International Journal of Information Management, 35(3), 299-308.
    Hamari, J., Hanner, N., & Koivisto, J. (2020). " Why pay premium in freemium services?" A study on perceived value, continued use and purchase intentions in free-to-play games. International Journal of Information Management, 51, 102040.
    Hamari, J., & Järvinen, A. (2011). Building Customer Relationship through Game Mechanics in Social Games. In M. Cruz-Cunha, V. Varvalho, & P. Tavares (Ed.), Business, Technological, and Social Dimensions of Computer Games: Multidisciplinary Developments, 348-365. IGI Global.
    Hamari, J., & Lehdonvirta, V. (2010). Game design as marketing: How game mechanics create demand for virtual goods. International Journal of Business Science & Applied Management, 5(1), 14-29.
    Hamari, J., Malik, A., Koski, J., & Johri, A. (2019). Uses and gratifications of pokémon go: Why do people play mobile location-based augmented reality games? International Journal of Human–Computer Interaction, 35(9), 804-819.
    Harrison, D. A., Mykytyn Jr, P. P., & Riemenschneider, C. K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information Systems Research, 8(2), 171-195.
    Heimo, O. I., Harviainen, J. T., Kimppa, K. K., & Mäkilä, T. (2018). Virtual to virtuous money: A virtue ethics perspective on video game business logic. Journal of Business Ethics, 153(1), 95-103.
    Hou, M. (2019). Social media celebrity and the institutionalization of YouTube. Convergence, 25(3), 534-553.
    Hsiao, K.-L., & Chen, C.-C. (2016). What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty. Electronic Commerce Research and Applications, 16, 18-29.
    Hsu, C.-L., & Lin, J. C.-C. (2015). What drives purchase intention for paid mobile apps?–An expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 14(1), 46-57.
    Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195-204.
    Jang, M., Lee, R., & Yoo, B. (2019). Does fun or freebie increase in-app purchase? Information Systems and e-Business Management, 1-19. https://doi.org/10.1007/s10257-019-00420-z
    Jerslev, A. (2016). Media times| in the time of the microcelebrity: celebrification and the YouTuber Zoella. International Journal of Communication, 10(2016), 5233-5251.
    Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259-274.
    Joo, S., & Choi, N. (2016). Understanding users’ continuance intention to use online library resources based on an extended expectation-confirmation model. The Electronic Library, 34(4), 554-571.
    Jun, S., & Yi, J. (2020). What makes followers loyal? The role of influencer interactivity in building influencer brand equity. Journal of Product & Brand Management, 29(6), 803-814.
    Kahraman, N. (2016). The factors that influence the transformation of a regular user to a youtube celebrity. Unpublished master’ s thesis, Kadir Has University, Turkey.
    Ketabi, S. N., Ranjbarian, B., & Ansari, A. (2014). Analysis of the effective factors on online purchase intention through theory of planned behavior. International Journal of Academic Research in Business and Social Sciences, 4(4), 374-382.
    Khalifa, M., & Limayem, M. (2003). Drivers of Internet shopping. Communications of the ACM, 46(12), 233-239.
    Kim, J., Lee, J., & Zo, H. (2018). Toward sustainable freemium software: The roles of user satisfaction and use context. Journal of Electronic Commerce Research, 19(3), 201-222.
    Koch, O. F., & Benlian, A. (2017). The effect of free sampling strategies on freemium conversion rates. Electronic Markets, 27(1), 67-76.
    Ku, Y.-C., Lin, Y.-A., & Yan, Z. (2017). Factors Driving Mobile App Users to Pay for Freemium Services. PACIS 2017 Proceedings 254.
    Kuitunen, M. O. (2019). Building a Successful Personal Brand on YouTube. Unpublished master’ s thesis, Haaga-Helia University of Applied Sciences, Finland.
    Kumar, V. (2014). Making" freemium" work. Harvard Business Review, 92(5), 27-29.
    Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705-737.
    Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(4), 421-432.
    Lisichkova, N., & Othman, Z. (2017). The impact of influencers on online purchase intent. Unpublished master’ s thesis, Mälardalen University, Sweaden.
    Lu, J., Liu, C., & Wei, J. (2017). How important are enjoyment and mobility for mobile applications? Journal of Computer Information Systems, 57(1), 1-12.
    MacKenzie, S. B., & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. Journal of Marketing, 53(2), 48-65.
    Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
    Messinger, P. R., Stroulia, E., Lyons, K., Bone, M., Niu, R. H., Smirnov, K., & Perelgut, S. (2009). Virtual worlds—past, present, and future: New directions in social computing. Decision Support Systems, 47(3), 204-228.
    Mohr, I. (2014). Going viral: An analysis of YouTube videos. Journal of Marketing Development and Competitiveness, 8(3), 43.
    Mäntymäki, M., Islam, A. N., & Benbasat, I. (2020). What drives subscribing to premium in freemium services? A consumer value‐based view of differences between upgrading to and staying with premium. Information Systems Journal, 30(2), 295-333.
    Mäntymäki, M., & Salo, J. (2011). Teenagers in social virtual worlds: Continuous use and purchasing behavior in Habbo Hotel. Computers in Human Behavior, 27(6), 2088-2097.
    Mäntymäki, M., & Salo, J. (2015). Why do teens spend real money in virtual worlds? A consumption values and developmental psychology perspective on virtual consumption. International Journal of Information Management, 35(1), 124-134.
    Morwitz, V. G., & Schmittlein, D. (1992). Using segmentation to improve sales forecasts based on purchase intent: Which “intenders” actually buy? Journal of Marketing Research, 29(4), 391-405.
    Nunnally, J. C. (1978). Psychometric Theory. New York : McGraw-Hill.
    Oestreicher-Singer, G., & Zalmanson, L. (2013). Content or community? A digital business strategy for content providers in the social age. MIS Quarterly, 37(2), 591-616.
    Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers` perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39-52.
    Ohanian, R. (1991). The impact of celebrity spokespersons` perceived image on consumers` intention to purchase. Journal of Advertising Research, 31(1), 46-54.
    Oliver, R. L. (1977). Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. Journal of Applied Psychology, 62(4), 480-486.
    Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.
    Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20(3), 418-430.
    Park, J., & Stoel, L. (2005). Effect of brand familiarity, experience and information on online apparel purchase. International Journal of Retail & Distribution Management, 33(2), 148-160.
    Patterson, P. G., & Smith, T. (2003). A cross-cultural study of switching barriers and propensity to stay with service providers. Journal of Retailing, 79(2), 107-120.
    Patterson, P. G., & Spreng, R. A. (1997). Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business‐to‐business, services context: an empirical examination. International Journal of Service Industry management, 8(5), 414-434.
    Ramos-Serrano, M., & Herrero Diz, P. (2016). Unboxing and brands: YouTubers phenomenon through the case study of EvanTubeHD. Prisma Social: Revista de Ciencias Sociales, 1, 90-120.
    Rasmussen, L. (2018). Parasocial interaction in the digital age: An examination of relationship building and the effectiveness of YouTube celebrities. The Journal of Social Media in Society, 7(1), 280-294.
    Rebelo, M. F. (2017). How Influencers’ Credibility on Instagram is perceived by consumers and its impact on purchase intention. Unpublished master’ s thesis, Católica Porto Business School, Portugal.
    Sarstedt, M., Ringle, C. M., Henseler, J., & Hair, J. F. (2014). On the emancipation of PLS-SEM: A commentary on Rigdon (2012). Long Range Planning, 47(3), 154-160.
    Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170.
    Shi, S. W., Xia, M., & Huang, Y. (2015). From minnows to whales: An empirical study of purchase behavior in freemium social games. International Journal of Electronic Commerce, 20(2), 177-207.
    Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66.
    Sternthal, B., Dholakia, R., & Leavitt, C. (1978). The persuasive effect of source credibility: Tests of cognitive response. Journal of Consumer Research, 4(4), 252-260.
    Stone, R. W., & Baker-Eveleth, L. (2013). Students’ expectation, confirmation, and continuance intention to use electronic textbooks. Computers in Human Behavior, 29(3), 984-990.
    Suh, B., & Han, I. (2003). The impact of customer trust and perception of security control on the acceptance of electronic commerce. International Journal of Electronic Commerce, 7(3), 135-161.
    Tam, C., Santos, D., & Oliveira, T. (2020). Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model. Information Systems Frontiers, 22(1), 243-257.
    Tarnovskaya, V. (2017). Reinventing personal branding building a personal brand through content on YouTube. Marketing, 3(1), 29-35.
    Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570.
    Thong, J. Y., Hong, S.-J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799-810.
    Tse, D. K., & Wilton, P. C. (1988). Models of consumer satisfaction formation: An extension. Journal of Marketing Research, 25(2), 204-212.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
    Vock, M., Dolen, W. V., & Ruyter, K. D. (2013). Understanding willingness to pay for social network sites. Journal of Service Research, 16(3), 311-325.
    Wagner, T. M., Benlian, A., & Hess, T. (2014). Converting freemium customers from free to premium—the role of the perceived premium fit in the case of music as a service. Electronic Markets, 24(4), 259-268.
    Wakefield, K. L., & Baker, J. (1998). Excitement at the mall: determinants and effects on shopping response. Journal of Retailing, 74(4), 515-539.
    Williams, L. J., & Hazer, J. T. (1986). Antecedents and consequences of satisfaction and commitment in turnover models: A reanalysis using latent variable structural equation methods. Journal of Applied Psychology, 71(2), 219.
    Wu, C.-C., Chen, Y.-J., & Cho, Y.-J. (2013). Nested network effects in online free games with accessory selling. Journal of Interactive Marketing, 27(3), 158-171.
     
    中文文獻
    陳寬裕(2018)。結構方程模型分析實務: SPSS 與 SmartPLS 的運用。臺北市：五南圖書出版股份有限公司。

    網路文獻
    Kemp, S(2020)。DIGITAL 2020: JULY GLOBAL STATSHOT。上網日期2021年3月9號，取自：https://datareportal.com/reports/digital-2020-july-global-statshot
    PIXNET(2020)。2020 年《社群藍皮書PIXNET Social Survey》：資訊搜集行為與內容形式偏好。上網日期2021年3月9號，取自：https://emkt.pixnet.net/blog/post/47322510
    台灣網路資訊中心(2020)。台灣網路報告。上網日期2021年3月9號，取自：https://report.twnic.tw/2020/index.html
    陳建鈞(2019)。搶攻直播市場！YouTube推會員分級制，為創作者創造6倍收入。上網日期2021年3月9號，取自：https://www.bnext.com.tw/article/54007/youtube-creators-make-more-money
    數位時代(2020)。2020 台灣百大影響力網紅洞察報告書。上網日期2021年3月9號，取自：https://www.kolradar.com/reports/2020-top100-kol
    簡永昌(2020)。2020台灣100大影響力網紅─社群時代抓緊眾人目光的最佳主角。上網日期2021年3月9號，取自：https://www.bnext.com.tw/article/58638/2020-kol100
    藍立晴(2017)。別再說只有年輕人才愛看 台灣YouTube使用者行為大解密！。上網日期2021年3月9號，取自：https://cnews.com.tw/002170928-03/
    描述: 碩士
    國立政治大學
    資訊管理學系
    108356011
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0108356011
    数据类型: thesis
    DOI: 10.6814/NCCU202101033
    显示于类别:[資訊管理學系] 學位論文

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