博碩士論文 106423023 詳細資訊




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姓名 謝映容(Ying-Jung Hsieh)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 影響知識型YouTube頻道影片持續觀看行為之因素
(A Study on the Continuance Behavior of Watching Knowledge Videos on YouTube.)
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摘要(中) 現在網路技術優化、行動裝置及個人電腦的普及,讓網路使用變得更加容易,根據調查民眾使用網路服務應用大多在觀看網路影音,YouTube身為最大的影音平台,不僅觀眾眾多,就連影音創作者的數量也日漸增加,許多人成為專業化的部落格經營者-YouTuber,以此營利或維生。本研究透過採訪兩位YouTuber經紀人了解到,為了提高評估頻道優劣的指標,增加持續觀看率是一個關鍵因素。
  本研究以YouTube平台上知識型的頻道影片為主要分析的類型,透過研究感知實用性、感知享樂性、滿意度、習慣、感知壓力以及使用者持續觀看意圖與持續觀看行為之間的關係。透過問卷的量測分析,找出影響使用者持續觀看行為的因素。
  根據研究結果發現,使用者的滿意度會受到感知享樂性與感知實用性直接且正向的影響,並且感知享樂性對於感知實用性與滿意度之間具有調節作用。而滿意度會正向影響持續觀看意圖與習慣,但持續觀看意圖與持續觀看行為之間的直接效果無法被證實。進一步分析顯示,使用者可能還受到其他因素的影響,如:習慣、壓力,習慣對於持續觀看行為有正向直接影響,且對於意圖與行為之間的影響也有正向調節的作用。
摘要(英) The advancement of network technology, the proliferation of mobile devices and personal computers, have all made the use of the Internet easier. According to surveys, among other things, most people use Internet applications to watch videos. YouTube is now the largest audio and video platform. The number of video creators on YouTube has increased, and many even become professional blogger/YouTuber, for profit and for a living. As a preliminary study, interviews with two YouTuber agents revealed that the continuous watching rate is a key factor in improving the evaluation of a YouTuber.
This questionnaire survey research attempts to look into the factors determining the continuance watching behavior of knowledge videos on YouTube. Antecedents included in this study includes perceived utilitarian value, perceived hedonic value, satisfaction, habits, perceived pressure, and watching intention.
Results reveal that user′s satisfaction is directly and positively influenced by perceived hedonic value and perceived utilitarian value. Interactions between perceived hedonic and utilitarian values affects user satisfaction. Satisfaction is positively associated with the continuance watching intention and habits. However, the main effect between continuance watching intention and continuance watching behavior is not confirmed. Further analysis show that habit not only has a direct effect on watching behavior, but and also acts as a moderator between continuance watching intention and continuance watching behavior.
關鍵字(中) ★ 持續觀看行為
★ 感知價值
★ 習慣
★ 計畫行為理論
★ 期望確認理論
關鍵字(英) ★ continuance watching behavior
★ perceived value
★ habits
★ theory of planned behavior
★ expectation confirmation theory
論文目次 目錄      
中文摘要……………………………………………………………………i
英文摘要 ……………………………………………………………………ii
誌謝 ……………………………………………………………………iii
目錄 ……………………………………………………………………iv
圖目錄 ……………………………………………………………………vi
表目錄 ……………………………………………………………………vii
一、 緒論……………………………………………………………………1
1-1 研究背景 ……………………………………………………………………1
1-2 研究動機與目的……………………………………………………………………4
1-3 論文架構與研究程序……………………………………………………………………7
二、 文獻回顧……………………………………………………………………9
2-1 YouTube……………………………………………………………………9
2-2 期望確認理論……………………………………………………………………10
2-3 計畫行為理論……………………………………………………………………12
2-4 使用與滿足理論……………………………………………………………………16
2-5 習慣……………………………………………………………………19
2-6 持續意圖與持續行為……………………………………………………………………20
2-7 感知壓力……………………………………………………………………21
三、 研究方法……………………………………………………………………24
3-1 研究架構……………………………………………………………………26
3-2 研究假說……………………………………………………………………27
3-3 研究變數之定義與操作化……………………………………………………………………31
3-4 研究設計……………………………………………………………………39
四、 研究分析……………………………………………………………………41
4-1 敘述性統計分析……………………………………………………………………41
4-2 問卷量表之同質性檢驗……………………………………………………………………44
4-3 問卷量表之信度、效度分析……………………………………………………………………45
4-4 配適度分析……………………………………………………………………50
4-5 假說檢定……………………………………………………………………52
4-6 調節效果分析……………………………………………………………………56
4-6 小結……………………………………………………………………60
五、 結論與建議……………………………………………………………………61
5-1 研究結果……………………………………………………………………61
5-2 學術意涵……………………………………………………………………65
5-3 管理意涵……………………………………………………………………65
5-4 研究限制與未來建議……………………………………………………………………67
參考文獻……………………………………………………………………68
英文文獻……………………………………………………………………68
中文文獻……………………………………………………………………82
網路文獻……………………………………………………………………82
附錄……………………………………………………………………84
參考文獻 參考文獻
英文文獻
Aarts, H., & Dijksterhuis, A., 2000, “Habits as knowledge structures: Automaticity in goal-directed behavior,” Journal of Personality and Social Psychology, 78, pp. 53–63.
Aarts, H., Verplanken, B., & van Knippenberg, A., 1998, “Predicting behaviour from actions in the past: Repeated decision-making or a matter of habit?” Journal of Applied Social Psychology, 28, pp. 1355–1374.
Ajzen, I., & Driver, B. L., 1992, “Application of the theory of planned behavior to leisure choice,” Journal of Leisure Research, 24:3, pp.207-224.
Ajzen, I., 1985, “From Intention to Action: A Theory of Planned Behavior,” in Action Control: From Cognition to Behavior, Julius, K. and Jurgen, B. (eds.), Heidelberg: Springer-Verlag.
Ajzen, I., 1988, Attitudes, personality and behavior, Milton Keynes, UK: Open University Press.
Ajzen, I., 1991, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, 50:2, pp.179-211.
Ajzen, I., 1996, “The directive influence of attitudes on behavior,” In P. Gollwitzer & J. A. Bargh (Eds.), Psychology of action, pp. 385-403.
Akter, S., Fosso Wamba, S. and D’Ambra, J., 2019, “Enabling a transformative service system by modeling quality dynamics,” International Journal of Production Economics, 207, pp. 210-226.
Anderson, E. W. and Sullivan, M. W., 1993, “The Antecedents and Consequences of Customer Satisfaction for Firms,” Marketing Science, 12:2, pp. 125-143.
Anita Whiting, David Williams, 2013, “Why people use social media: a uses and gratifications approach,” Qualitative Market Research: An International Journal, 16:4, pp.362-369.
Atchariyachanvanich, K., Okada, H. and Sonehara, N., 2008, “Exploring factors effecting the continuance of purchasing behavior in internet shopping: extrinsic benefits and intrinsic benefits,” Information Processing Society of Japan – Digital Courier, 4, pp. 91‐102.
Babin, J. B., Darden, W. R., Griffin, M., 1994, “Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value,” Journal of Consumer Research, 20:4, pp. 644–656.
Bagozzi, R. P., & Yi, Y., 1988, “On the evaluation of structural equation models.” Journal of the Academy of Marketing Science, 16:1, pp. 74-94.
Bandura, A., 1977, “Self-Efficacy: Toward a Unifying Theory of Behavioral Change,” Psychological Review, 84, pp. 191-215.
Bandura, A., 1982, “Self-Efficacy Mechanism in Human Agency,” American Psychologist, 37, pp. 122-147
Bargh, J. A., 1994, “The four horsemen of automaticity: Awareness, intention, efficiency, and control in social cognition,” Handbook of social cognition, 1, pp.1–40.
Barki, H. and Benbasat, I., 2008, “Quo vadis TAM,” Journal of the Association for Information Systems, 8:4, Article 7.
Barnes, 2011, “Modeling use continuance behavior in microblogging services: The case of Twitter,” Journal of Computer Information Systems, 51:4.
Bentler, P. M. & Bonett, D. G. ,1980, “Significance tests and goodness-of –fit in the analysis of covariance structures.” Psychological Bulletin, 88, pp. 588-606.
Beyens, I., Frison, E., Eggermont, S., 2016, “ “I don’t want to miss a thing”: Adolescents’ fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress,” Computers in Human Behavior, 64, pp. 1-8.
Bhattacherjee, A., 2001a, “Understanding information systems continuance: An expectation-confirmation model,” MIS Quarterly, 25:3, pp. 351-370.
Bhattacherjee, A., 2001b, “An empirical analysis of the antecedents of electronic commerce service continuance,” Decision Support Systems, 32:2, pp. 201-214.
Blair H. Sheppard, Jon Hartwick, Paul R. Warshaw, 1988, “The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research,” Journal of Consumer Research, 15:3, pp. 325–343
Blau, G., 1981, “A Empirical Investigation of Job Stress, Social Support, ServiceLength, and Job Strain,” Organizational Behavior and Human Performance, 27, pp. 279-302.
Blumler, J.G., Katz, E., 1974, The uses of mass communications: Current perspectives on gratifications research, US: Sage Publications, Inc.
Boulaire, C., Hervet, G., Graf, R., 2010, “Creativity chains and playing in the crossfire on the video‐sharing site YouTube,” Journal of Research in Interactive Marketing, 4:2, pp. 111-141.
Brayman, A., & Cramer, D., 1997, Quantitative data analysis with SPSS for windows: Routledge, London & NY: Routledge.
Bridges, E., & Florsheim, R., 2008, “Hedonic and utilitarian shopping goals: The online experience,” Journal of Business Research, 61, pp. 309– 314.
Brown, B. B. and Larson, J. L., 2009, “Peer relationships in adolescence,” R.M. Lerner, L. Steinberg (Eds.), Handbook of adolescent psychology, Wiley, New York (2009), pp. 74-103
Brown, S.A. and Venkatesh V., 2005, “Model of adoption of technology in the household: a baseline model test and extension incorporating household life cycle,” MIS Quarterly, 29:4, pp. 399-426.
Browne, M. W., and Mels, G., 1990, RAMONA user’s guide. Columbus: Department of Psychology, Ohio State University.
Browne, M. W. and Cudeck, R., 1993, Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
Cardozo, R. N., 1965, “An experimental study of customer effort, expectation, and satisfaction,” Journal of Marketing Research, 2:3, pp. 244-249.
Carmines, E. G. and McIver, J. P., 1981, Analyzing models with unobserved variables: Analysis of covariance structure. In G. W. Bohrnstedt and E. F. Borgatta (eds.), Social measurement: Current issues, Beverly Hills, Sage.
Chang, T. Z. and Wildt, A. R., 1994, “Price, product information, and purchase intention: An empirical study,” Journal of the Academy of Marketing science, 22:1, pp. 16-27.
Charng, H. W., Piliavin, J. A. and Callero, P. L., 1988, “Role identity and reasoned action in the prediction of repeated behavior,” Social Psychology Quarterly, 51:4, pp. 303-317.
Cheever, N.A., Rosen, L.D., Carrier, L.M. and Chavez, A., 2014, “Out of sight is not out of mind: the impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users,” Computers in Human Behavior, 37, pp. 290-297.
Cheung, C.M.K. and Limayem, M., 2005, “The role of habit in information systems continuance: Examining the evolving relationship between intention and usage,” International Conference on Information Systems, 11-14 December 2005, Las Vegas, NV, USA.
Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C. and Sun, P. C., 2005, “Usability, quality, value and e-learning continuance decisions,” Computers & Education, 45:4, pp. 399-416.
Chiu, C. M. and Wang, T. G., 2008, “Understanding Web-based learning continuance intention: The role of subjective task value,” Information & Management, 45:3, pp. 194-201.
Chiu, C. M., Chiu, C. S., Chang, H. C., 2007, “Examining the integrated influence of fairness and quality on learners’ satisfaction and Web‐based learning continuance intention,” information system journal, 17:3, pp. 271-287.
Chou, S. W., Lee, C. C., Chang, Y. C., Lin, C. T., 2009, “Understanding Continuance Intention of Knowledge Creation in Online Communities from a Social-Psychological Perspective,” 42nd Hawaii International Conference on System Sciences, 5-8 Jan. 2009, Big Island, HI, USA.
Cohen, S. and Williamson, G., 1988, “Perceived stress in a probability sample of the United States,” In S. Spacapan & S. Oskamp (Eds.), The Claremont Symposium on Applied Social Psychology. The social psychology of health. Thousand Oaks, CA, pp. 31-67, US: Sage Publications, Inc.
Cohen, S. and Lichtenstein, E., 1990, “Perceived stress, quitting smoking, and smoking relapse,” Health Psychology, 9:4, pp. 466-478.
Cohen, S., Kamarch, T., Mermelstein, R., 1983, “A global measure of perceived stress,” Journal of Health and Social Behavior, 24, pp. 385-396.
Cohen, S., Kessler, C. R., Gordon, L. U., 1997, Measuring stress: A guide for health and social scientists Oxford University Press, NY, Oxford University Press.
Cole, J., 2000, Surveying the Digital Future, UCLA Center for Communication Policy, Los Angeles, CA.
Conner, M. and Sparks, P., 1996, “The theory of planned behavior and health behaviours,” Predicting health behavior, pp.121-162.
Dabholkar, A. P., Shepherd, C. D. and 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, pp. 139-173.
Dabolkar, P. A., Shepard, C. D. and 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, pp. 139-173.
David, O. W., Christi, A. P., Steven, C. A., Kenneth, O., Darrell, S., 2004, “Smoking Behavior and Perceived Stress in Cigarette Smokers Undergoing Elective Surgery,” Anesthesiology, pp. 1125-1137.
Davis, D., 1989, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, pp. 319-340.
Davis, F. D., Bagozzi, R. P. and Warshaw, P. R., 1989, “User acceptance of computer technology: A comparison of two theorical models,” Management Science, 35:8, pp. 982-1003.
Dawson, S., Peter, H. B., Nancy, M. R., 1990, “Shopping motives, emotional states, and retail outcomes,” Journal of Retail, 66:4, pp. 408-428.
Doll, W. J., Xia, W. and Torkzadeh, G. ,1994, “A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument,” MIS Quarterly, 12:2, pp. 259-274.
Dominick, J., 1999, “Who do you think you are? Personal home pages and self‐presentation on the world wide web,” Journalism and Mass Communication Quarterly, 76:4, pp. 646‐58.
Ducoffe, R.H., 1996, “Advertising Value and Advertising on the Web,” Journal of Advertising Research, pp.21-35.
Duman, S. and Locher, M. A., 2008, “‘So let′s talk. Let′s chat. Let′s start a dialog’: An analysis of the conversation metaphor employed in Clinton′s and Obama′s YouTube campaign clips,” Journal of Cross-Cultural and Interlanguage Communication, 27:3, pp. 193–230
Elaine, W. L., Debra, P. O., George, D., Jeff, S. and Matthew, R., 2014 “YouTube as a Tool for Pain Management With Informal Caregivers of Cancer Patients: A Systematic Review,” Journal of Pain and Symptom Management, 48:6, pp. 1200-1210.
Fishbein, M. and Ajzen, I., 1975, “Belief; attitude, intention and behavior: An introduction to theory and research,” Journal of Business venturing 5, pp. 177-189.
Fornell, C. and Larcker, D. F., 1981, “Evaluating structural equation models with unobservable variables and measurement error.” Journal of Marketing Research, pp. 39-50.
Fornell, C., 1992, "A National Customer Satisfaction Barometer: The Swedish Experience." Journal of Marketing, 56, pp. 6-21.
Fox, J. and Moreland, J. J., 2015, “The dark side of social networking sites: an exploration of the relational and psychological stressors associated with Facebook use and affordances,” Computers in Human Behavior, 45, pp. 168-176.
Frankel, K. A., 1990, “Girls’ perceptions of peer relationship support and stress,” The Journal of Early Adolescence, 10, pp. 69-88.
Godin, G. and Kok, G., 1996, “The theory of planned behavior: A review of its applications to health-related behaviors,” American Journal of Health Promotion, 11, pp. 87-98.
Guinea and Markus, 2009, “Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use,” MIS Quarterly, 33:3, pp. 433-444.
Hair, J. F., Anderson, R. E., Tatham, R. L. and Black, W. C., 1998, Multivariate data analysis: Upper Saddle River (5th ed.), NJ: Prentice Hall.
Hansen, S. S., Lee, J. K., Lee, S. Y., 2014, “Consumer-generated ads on YouTube: Impacts of source credibility and need for cognition on attitudes, interactive behaviors, and eWOM,” Journal of Electronic Commerce Research, 15:3, pp. 254-266.
Haridakis, P. and Hanson, G., 2009, “Social interaction and co-viewing with YouTube: Blending mass communication reception and social connection,” Journal of Broadcasting & Electronic Media, 53:2, pp. 317-335.
Hsu, M. H., Yen, C. H., Chiu, C. M., Chang, C. M., 2006, “A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior,” International Journal of Human-Computer Studies, 64:9, pp.889-904.
Hu, L. and Bentler, P. M., 1999, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives,” Structural Equation Modeling, 6:1, pp. 1-55.
Hull, C. L., 1943, Principles of behavior: An introduction to behavior theory, New York: Appleton-Century Crofts.
James, W., 1890, “The Principles of Psychology,” Henry Holt & Co.
Jill, L. and Geoffrey, R., 2013, “Creating a YouTube-Like Collaborative Environment in Mathematics: Integrating Animated Geogebra Constructions and Student-Generated Screencast Videos,” European Journal of Contemporary Education, 4:2, pp. 117-128.
Jin, X. L., Lee, M. K. O. and Cheung, C. M. K., 2009, “Predicting Continuance in Online Communities: Model Development and Empirical Test,” Behaviour and Information Technology, 29:4, pp. 383-394.
Jones, E. and Pittman, P., 1982, “Toward a general theory of strategic self‐representation,” in Suls, J. (Ed.), Psychological Perspective on the Self, Lawrence Erlbaum Associates, Hillsdale, NJ, pp. 231‐63.
Jung, T., Youn, H. and McClung, S., 2007, “Motivations and self-presentation strategies on Korean-based “Cyworld” weblog format personal homepages,” CyberPsychology and Behavior, 10:1, pp. 24-31.
Kang, Y.S., Hong, S. and Lee, H., 2009, “Exploring continued online service usage behavior: the roles of self‐image congruity and regret,” Computers in Human Behavior, 25:1, pp. 111‐22.
Kaplan, A.M. and Haenlein, M., 2010, “Users of the world, unite! The challenges and opportunities of social media,” Business Horizons, 53:1, pp. 59‐68.
Katz, E., Blumler, J.G. and Gurevitch, M.,1974, “Uses and gratifications research,” Public Opinion Quarterly, 37:4, pp. 509-524.
Katz, E., Gurevitch, M., Hass, H., 1973, “On the Use of Mass Media for Important Things,” American Sociological Review, 38:2, pp. 164-181.
Kaye, B.K. and Johnson, T.J., 2002, “Online and in the know: uses and gratifications of the web for political information,” Journal of Broadcasting & Electronic Media, 46:1, pp. 54‐71.
Kim, D. J. and Hwang, Y., 2012, “A study of mobile internet user’s service quality perceptions from a user’s utilitarian and hedonic value tendency perspectives,” Information Systems Frontiers, 14, pp.409–421.
Kim, J., Hong, S., Min, J. and Lee, H., 2011, “Antecedents of application service continuance: A synthesis of satisfaction and trust,” Expert Systems with Applications, 38:8, pp. 9530-9542.
Kim, S. S. and Malhotra, N. K., 2005, “A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena,” Management Science, 51:5, pp. 741-755.
Kim, S. S., Malhotra, N. K. and Narasimham, S., 2005, “Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison,” Information Systems Research, 16:4, pp. 418-432.
Klapper, J. T., 1963, “Mass Communication Research: An Old Road Resurveyed,” The Public Opinion Quarterly, 27:4, pp. 515–27.
Kline, R. B., 2005, Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.
Kollock, P., 1999, “The economics of online cooperation: gifts and public goods in cyberspace,” in Smith, M. and Kollock, P. (Eds), Communities in Cyberspace, Routledge, London, pp. 220‐42.
Kopp, M.S., Thege, B.K., Balog, P., Stauder, A., Salavecz, G., Rózsa, S., Purebl, G., Adám, S., 2010, “Measures of stress in epidemiological research,” Journal of Psychosomatic Research, 69:2, pp. 211-225.
Korenman, J. and Wyatt, N., 1996, “Group dynamics in an e‐mail forum,” in Herring, S. (Ed.), Computer‐mediated Communication: Linguistic, Social and Cross‐cultural Perspectives, John Benjamins Publishing, Philadelphia, PA, pp. 225‐42.
Korgaonkar, P.K. and Wolin, L.D., 1999, “A multivariate analysis of web uses,” Journal of Advertising Research, 39:1, pp. 53‐68.
Kuo, Y. F., Wu, C. M. and Deng, W. J., 2009, “The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services,” Computers in Human Behavior, 25:4, pp. 887-896.
Lariscy, R.W., Tinkham, S.F. and Sweetser, K.D., 2011, “Kids these days: examining differences in political uses and gratifications, internet political participation, political information efficacy, and cynicism on the basis of age,” American Behavioral Scientist, 55:6, pp. 749‐764.
Leary, M. R., 1990, “Responses to social exclusion: Social anxiety, jealousy, loneliness, depression, and low self-esteem,” Journal of Social and Clinical Psychology, 9, pp. 221-229.
Lee, M. C., 2010, “Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model,” Computers & Education, 54:2, pp.506-516.
Lee, E. H., Chung, B. Y., Suh, C. H., Jung, J. Y., 2015, “Korean versions of the Perceived Stress Scale (PSS‐14, 10 and 4): psychometric evaluation in patients with chronic disease,” Scandinavian Journal of Caring Sciences, 29:1, pp. 183-192
Levenstein, S., Prantera, C., Varvo, V., Scribano, M. L., Berto, E., Luzi, C., Andreoli, A., 1993, “Development of the perceived stress questionnaire: A new tool for psychosomatic research,” Journal of Psychosomatic Research, 37:1, pp. 19-32.
Limayem, M. and Hirt, S. G., 2003, “Force of Habit and Information Systems Usage: Theory and Initial Validation,” Journal of the Association for Information Systems, 4, pp. 65-97.
Limayem, M., Cheung, C. M. K. and Chan, G. W. W., 2003, “Explaining Information Systems Adoption and Post-Adoption,” 24th International Conference on Information Systems, pp. 720-731, S. T. March, A. Massey and J. I. DeGross, Seattle, WA, 14-17 December 2003.
Limayem, M., Hirt, S.G. and Cheung, C.M.K., 2007, “How habit limits the predictive power of intention: The case of information systems continuance,” MIS Quarterly, 31:4, pp. 705-737.
Lin, K. M., 2011, “e-Learning continuance intention: Moderating effects of user e-learning experience,” Computers & Education, 56:2, pp. 515-526.
Lin, K.Y. and H.P. Lu, 2011, “Why People Use Social Networking Sites: An Empirical Study Integrating Network Externalities and Motivation Theory,” Computers in Human Behavior, 27:3, pp. 1152-1161.
Lindbladh, E. and Lyttkens, C. H., 2002, “Habit versus choice: the process of decision-making in health-related behaviour,” Social Science & Medicine, 55:3, pp. 451-465.
Lindlof, T. and Shatzer, M., 1998, “Media ethnography in virtual space: strategies, limits and possibilities,” Journal of Broadcasting & Electronic Media, 42:2, pp. 170‐89.
Lindsay H. S., Larry M. G., 2004, “In Defense of the Internet: The Relationship between Internet Communication and Depression, Loneliness, Self-Esteem, and Perceived Social Support,” CyberPsychology & Behavior, 5:2.
Liu S, Zhu M, Yu DJ, Rasin A, Young SD, 2017, “Using Real-Time Social Media Technologies to Monitor Levels of Perceived Stress and Emotional State in College Students: A Web-Based Questionnaire Study,” JMIR Ment Health, 4:1, e2.
Macan, T. H., Shahani, C., Dipboye, R. L. and Phillips, A. P., 1990, “College students′ time management: Correlations with academic performance and stress,” Journal of Educational Psychology, 82:4, pp. 760-768.
MacCallum, R. C. and Hong, S., 1997, “Power analysis in covariance structure modeling using GFI and AGFI,” Multivariate Behavioral Research, 32, pp. 193-210.
Mano, H. and Oliver, R.L., 1993, “Assessing the dimensionality and structure of the consumption experience: evaluation, feeling, and satisfaction,” Journal of Consumer Research, 20, pp. 451-466.
Mattias Ekman, 2014, “The dark side of online activism: Swedish right-wing extremist video activism on YouTube,” Journal of Media and Communication Research, 30:56, pp. 21.
McDonald, R. P. and Ho, M. R., 2002, “Principles and practice in reporting structural equation analysis,” Psychological methods, 7, pp. 64-82.
McKenna, K. and Bargh, J., 1999, “Causes and consequences of social interaction on the Internet: a conceptual framework,” Media Psychology, 1:3, pp. 249‐69.
McKenna, K. and Bargh, J., 2000, “Plan 9 from cyberspace: the implications of the Internet for personality and social psychology,” Personality and Social Psychology Review, 4:1, pp. 57‐75.
McKenna, K., Green, A. and Gleason, M., 2002, “Relationship formation on the Internet: what′s the big attraction?” Journal of Social Issues, 58:1, pp. 9‐31.
McMillan, D. and Chavis, D., 1986, “Sense of community: a definition and theory,” Journal of Community Psychology, 14:1, pp. 6‐23.
Miller, N., 2007, “Manifesto for a new age,” Wired, 15:3, pp. 126‐8.
Mittal, B., 1988, “Achieving Higher Seat Belt Usage: The Role of Habit in Bridging the Attitude‐Behavior Gap1,” Journal of Applied Social Psychology, 18:12, pp. 993-1016.
Mook, D.G., 1996, Motivation, 2nd ed., Norton, New York, NY.
Nadkarni, A. and Hofmann, S. G., 2012, “Why do people use Facebook?” Personality and Individual Differences, 52, pp. 243-249.,
Naquin, M. R. and Gilbert, G. G., 1996, “College Students′ Smoking Behavior, Perceived Stress, and Coping Styles,” Journal of Drug Education, 26:4.
Nathaniel, J. P., Colin, C., Anjali, S. B., Niall, P., 2011, “Placing a Hand in the Fire: Assessing the Impact of a YouTube Experiential Learning Project on Viral Marketing Knowledge Acquisition,” Journal of Marketing Education, 33:2, pp. 204-216.
Ng, D. M., & Jeffery, R. W., 2003, “Relationships Between Perceived Stress and Health Behaviors in a Sample of Working Adults.” Health Psychology, 22:6, pp. 638-642.
Oliver and Swan, 1989, “Equity and disconfirmation perceptions as influences on merchant and product satisfaction,” Journal of Consumer Research, 16, pp. 372-383.
Oliver, R. L., & DeSarbo, W. S., 1988, “Response determinants in satisfaction judgments.” The Journal of Consumer Research, 16:4, pp. 495–507.
Oliver, R. L., 1980, “A Cognitive Model for the Antecedents and Consequences of Satisfaction,” Journal of Marketing Research, 17, pp. 460-469.
Oliver, R. L., 1993, “Cognitive, Affective, and Attribute Bases of the Satisfaction Response,” Journal of Consumer Research, 20, pp. 418-430.
Oliver, R.L. & Swan, J.E., 1989, “Consumer perceptions of interpersonal equity and satisfaction in transactions: afield survey approach,” Journal of Marketing, 53, pp. 21–35.
Orbell, S., Blair, C., Sherlock, K., Conner, M., 2001, “The Theory of Planned Behavior and Ecstasy Use: Roles for Habit and Perceived Control Over Taking Versus Obtaining Substances,” Journal of Applied Social Psychology, 31:1, pp. 31-47.
Ouellette, J. A. and Wood, W., 1998, “Habit and intention in everyday life: the multiple processes by which past behavior predicts future behavior,” Psychological Bulletin, 124:1, pp. 54-74.
Palmgreen, P. and Rayburn, J., 1979, “Uses and gratifications and exposure to public television,” Communication Research, 6:2, pp. 155‐180.
Papacharissi, Z. and Rubin, A.M., 2000, “Predictors of internet use,” Journal of Broadcasting & Electronic Media, 44:2, pp. 175‐196.
Patterson, P. G. and 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, pp. 414-434.
Pombeni, M.L., Kirchler, E., Palmonari, A., 1990, “Identification with peers as a strategy to muddle through the troubles of the adolescent years,” Journal of Adolescence, 13, pp. 351-369.
Pruessner,, J. C., Hellhammer,, D. H., Kirschbaum, C., 1999, “Burnout, Perceived Stress, and Cortisol Responses to Awakening,” Journal of Biobehavioral Medicine, 61:2, pp. 197-204.
Przybylski, A.K., Murayama, K., DeHaan, C.R. amd Gladwell, V., 2013, “Motivational, emotional, and behavioral correlates of fear of missing out,” Computers in Human Behavior, 29, pp. 1841-1848.
Raihana Ferdous, Venet Osmani and Oscar Mayora, 2015, “Smartphone app usage as a predictor of perceived stress levels at workplace,” International Conference on Pervasive Computing Technologies for Healthcare, Istanbul, Turkey, 20-23 May.
Rheingold, H., 1993, The Virtual Community: Homesteading on the Electronic Frontier, Addison‐Wesley, Reading, MA.
Robert I. S. and Anat Rafaeli, 2017, “Characteristics of Work Stations as Potential Occupational Stressors,” Academy of Management Journal, 30:2.
Roca, J. C., Chiu, C. M., Martínez, F. J., 2006, “Understanding e-learning continuance intention: An extension of the Technology Acceptance Model,” International Journal of Human-Computer Studies, 64:8, pp. 683-696.
Ronis, D. L., Yates, J. F. and Kirscht, J. P., 1989, “Attitudes, decisions, and habits as determinants of repeated behavior,” Attitude structure and function, pp. 213–239.
Rosengren, K.E., Wenner, L., Palmgreen, P., 1985, “Media gratifications research: Current perspectives, Sage, Beverly Hills,” CA, pp. 61-72, London: Sage.
Rubin, Alan M., 2002, “The Uses-and-Gratifications Perspective of Media Effects,” In Jennings Bryant & Dolf Zillman, eds., Media Effects: Advances in Theory and Research, 2nd ed., pp. 525–48. Mahwah, NJ: Erlbaum.
Sasiphan, Nitayaprapha, 2014, “Retaining Users in a Commercially-Supported Social Network,” International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 8:1, pp. 47-53.
Schumacker, R. E. and Lomax, R. G., 2004, A beginner’s guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
Selye, H., 1956, “The stress of life,” McGraw-Hill Education, New York.
Severin, W. J. and Tankard, J. W., 1988, Communication theories: origins, methods, uses. 2nd ed. White Plains, N.Y.: Longman.
Shim, Doo-Bo, Noh, Kwang-Woo, 2012, “YouTube and Girls′ Generation Fandom,” The Journal of the Korea Contents Association, 12:1, pp. 125-137.
Shirley, T., and Todd, P.A., 1995a, “Decomposition and Crossover Effect in the Theory of Planned Behavior: A Study of Consumer Adoption Intentions,” International Journal of Research in Marketing, 12:2, pp. 137-155.
Shirley, T., and Todd, P.A., 1995b, “Understanding Information Technology Usage: A Test of Competing Models,” Information System Research, 6:2, pp. 144-177.
Smith, M., 1999, “E‐merging strategies of identity: the rhetorical construction of self in personal web sites,” doctoral dissertation, Ohio University, Athens, OH.
Spector, P. E. and Fox, S., 2005, “The Stressor-Emotion Model of Counterproductive Work Behavior,” In S. Fox & P. E. Spector (Eds.), Counterproductive work behavior: Investigations of actors and targets, pp. 151-174, Washington, DC, US: American Psychological Association.
Steiger, J. H., 1989, EZPATH: A supplementary module for SYSTAT and SYSGRAPH, Evanston, IL: SYSTAT.
Taylor, S. and Todd, P. A., 19951, “Assessing IT usage: The role of prior experience,” MIS Quarterly, 19:4, pp. 561–570.
Torres, S. J. and Nowson, C. A., 2007, “Relationship between stress, eating behavior, and obesity,” Nutrition, 23:11–12, pp. 887-894
Tossberg, A., 2000, “Swingers, singers and born‐again Christians: an investigation of the uses and gratifications of Internet‐relay chat,” master′s thesis, Iowa State University, Ames, IA.
Triandis, H. C., 1977, Interpersonal behavior, Monterey, CA: Brooks/Cole Publishing Company.
Triandis, H. C., 1979, “Values, Attitudes, and Interpersonal Behavior,” Nebraska Symposium on Motivation, 27, pp. 195-259.
Tse, K. D. and Wilton, P. C., 1988, “Models of Consumer Satisfaction Formation: An Extension,” Journal of Marketing Research, 25:2, pp. 204-212.
Tuorila, H. and Pangborn, R. M., 1988, “Prediction of reported consumption of selected fat-containing foods,” Appetite, 11:2, pp. 81-95.
Turel, O. and Serenko, A., 2006, “Satisfaction with mobile services in Canada: An empirical investigation,” Telecommunications Policy, 30:5, pp. 314-331.
Ullman, J. B., 2001, Structural equation modeling. In B. G. Tabachnick and L. S. Fidell (2001), Using Multivariate Statistics (4th ed.): 653-771. Needham Heights, MA: Allyn and Bacon.
Utz, S., Tanis, M. and Vermeulen, I., 2012, “It is all about being popular: the effects of need for popularity on social network site use,” Cyberpsychology, Behavior, and Social Networking, 15, pp. 37-42.
Verplanken, B. and Aarts, H., 1999, “Habit, Attitude, and Planned Behaviour: Is Habit an Empty Construct or an Interesting Case of Goal-Directed Automaticity?” European Review of Social Psychology, 10, pp. 101-134.
Viswanath Venkatesh and Michael G. Morris, 2000, “Why Don′t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior,” Management Information Systems, 24:1, pp. 115-139.
Von Alan, R. H., March, S. T., Park, J. and Ram, S., 2004, “Design science research in information systems,” MIS Quarterly, 28:1, pp. 75-105.
Wakefield and Baker, 1998, “Excitement at the mall: determinants and effects on shopping response,” Journal of Retail, 74, pp. 515-539.
Walker, K., 2000, “It is difficult to hide it: the presentation of self on Internet home pages,” Qualitative Sociology, 23:1, pp. 99‐120.
Walther, J., 1997, “Group and interpersonal effects in international computer‐mediated communication,” Human Communication Research, 23:3, pp. 342‐69.
Wang, E.S.T., “Internet Usage Purposes and Gender Differences in the Effects of Perceived Utilitarian and Hedonic Value,” Cyber Psychology, Behavior, and Social Networking, 13:2, 2010, 179-183.,
Wang, R., Chen, F., Chen, Z., Li, T., Harari, G., Tignor, S., Zhou, X., Ben-Zeev, D., Campbell, A. T., 2014, “Studentlife: assessing mental health academic performance and behavioral trends of college students using smartphones, ” ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 3-14, Seattle, Washington, US , 13-17 September.
Westbrook, R.A., 1987, “Product-consumption based affective responses and post purchase processes,” Journal of Marketing Research, 24, pp. 258-271.
Williams, D.L., Crittenden, V.L., Keo, T. and McCarty, P., 2012, “The use of social media: an exploratory study of uses among digital natives,” Journal of Public Affairs, 12:2, pp. 127‐136.
Witten braker, J., Gibbs, B. L. and Kahle, L. R., 1983, “Seat belt attitudes, habits, and behaviors: An adaptive amendment to the Fishbein model,” Journal of Applied Social Psychology, 13:5, 406-421.
Wolf, M., 1999, The Entertainment Economy, Times Books, New York, NY.
Wood, W., Quinn, J. M. and Kashy, D. A., 2002, “Habits in everyday life: Thought, emotion, and action,” Journal of Personality and Social Psychology, 83, 1281–1297.

中文文獻
吳肇銘,1999,影響網站使用意向之因素研究─以入門網站為例,中央大學資管研究所博士論文
李茂能,2006,結構方程模式軟體Amos之簡介及其在測驗編製上之應用,台北:心理。
邱皓政,2011,結構方程模式:LISREL的理論、技術與應用(二版),臺北市:雙葉書廊。
張偉豪,2011,論文寫作-SEM不求人。台北:鼎茂。
陳正昌、程炳林、陳新豐、劉子鍵,2003,多變量分析方法:統計軟體應用(三版),台北:五南。
黃芳銘,2007,結構方程模式理論與應用(五版),台北:五南。
網路文獻
Alexa Internet, 2019, The top 500 sites on the web, https://www.alexa.com/topsites, accessed on 23 March 2019.
Bowman, S. and Willis, C., 2003, “We media: how audiences are shaping the future of news and information,” www.hypergene.net/wemedia/download/we_media.pdf, accessed on 10 June 2019.
Bughin, J., 2007, “How companies can make the most of user‐generated content,” www.mckinseyquarterly.com/article_abstract_visitor.aspx?ar=2041&l2=16&l3=16, accessed on 10 June 2019.
Chris Stokel-Walker, 2018b, Why YouTubers are feeling the burn, https://www.theguardian.com/technology/2018/aug/12/youtubers-feeling-burn-video-stars-crumbling-under-pressure-of-producing-new-content, accessed on 27 March 2019.
Google官方部落格,2017,「台灣《YouTube使用者行為大調查》揭密最新影音趨勢」,2019年3月24日取自https://taiwan.googleblog.com/2017/10/youtube.html
Insight,2017,「知識型頻道崛起,媽媽、高中老師、物理治療師都來當 YouTuber!」,2019年3月24日取自 https://www.inside.com.tw/article/11034-whats-on-youtube
SocialBlade, 2019, Top 250 Youtubers in Taiwan sorted by subscribers, https://socialblade.com/youtube/top/country/tw/mostsubscribed, accessed on 24 March 2019.
SocialBlade, 2019, Top 50 Subscribed YouTube Channels (sorted by subscriber count), https://socialblade.com/youtube/top/50/mostsubscribed, accessed on 11 June 2019.
The Guardian, 2018a, The YouTube stars heading for burnout: ‘The most fun job imaginable became deeply bleak’, https://www.theguardian.com/technology/2018/sep/08/youtube-stars-burnout-fun-bleak-stressed, accessed on 23 March 2019.
The Guardian, 2018b, Why YouTubers are feeling the burn, https://www.theguardian.com/technology/2018/aug/12/youtubers-feeling-burn-video-stars-crumbling-under-pressure-of-producing-new-content, accessed on 23 March 2019.
WPP plc, 2017, BrandZ Top 100 Most Valuable Global Brands 2017, https://www.wpp.com/news/2017/06/brandz-top-100-most-valuable-global-brands-2017, accessed on 23 March 2019.
台灣網路資訊中心,2018,「台灣整體網路使用狀況」,2019年3月21日取自 https://report.twnic.tw/2018/OverallNetworkUsageStatus.html
自由時報,2018,「YouTube使用行為大調查:7成受訪者天天看 平均花2.5小時」,2019年3月24日取自 https://ec.ltn.com.tw/article/breakingnews/2551405
創世際市場研究顧問,2018,創市際『越年輕越愛看,YouTuber既教學也娛樂』調查. 2019年3月24日取自 https://www.ixresearch.com/news/news_11_09_18
創世際市場研究顧問,2019,「Comscore與創市際依據Comscore Video Metrix™公佈2019年01月台灣網路影音流量報告」,2019年3月24日取自 https://www.ixresearch.com/Comscore與創市際依據Comscore Video Metrix™公佈2019年01月台灣網路影音流量報告
指導教授 范錚強(C.K. Farn) 審核日期 2019-6-25
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