中文參考文獻
DIGITIMES(2013)，「智慧型電視產業的四大發展趨勢觀察」，http://www.digitimes.com.tw/tw/b2b/Seminar/shwnws_new.asp?CnlID=18&cat=99&product_id=051A20418&id=0000333509_3NH44J321RKBTF803HQE4
手機王(2013)，「Smart TV智慧電視大戰 2013年一觸即發！」http://www.sogi.com.tw/newforum/article_list.aspx?topic_ID=6208972
李振南(2011)，「Apple TV肯定是庫克 創辦人賈伯斯生前未了的心願？」台北：金融家月刊第10012期，http://mag.chinatimes.com/mag-cnt.aspx?artid=11225
拓墣產產業研究所(2004)，「遊戲產業白皮書」，台北：拓墣科技。
周文賢(2002)，「多變量分析：SAS/SPSS使用方法」，台北：智勝。
貿易雜誌(2012)，「智慧電視 創造全新體驗」，http://www.ieatpe.org.tw/magazine/ebook251/b5.pdf
陳怡安(2003)，「線上遊戲的魅力：以重度玩家為例」，高雄：南華大學社會學研究所。英文參考文獻
Agarwal, R. and J. Prasad (1999). “Are individual differences germane to the acceptance of new information technologies,” Decision Sciences, 30(2), 361-391.
Ajzen, I. (1985), From Intention To Actions: A Theory Of Planned Behavior, In Kuhl , J., and Beckmann, J (Eds.), Action control: From cognition to behavior. Heidelberg: Springer.
Babin, B. J., William, R. D., and Griffin M. (1994), “Work and/or fun: measuring hedonic and utilitarian shopping value,” Journal of Consumer Research, 20, 644-656.
Barnes, J. G. (2000), Secrets of customer relationship management: It's All about how you make them feel. New York: McGraw-Hill Inc.
Bone, P. F. and Ellen, P. S. (1992), “The generation and consequences of communication-evoked imagery,” Journal of Consumer Research, 19 (June), pp.93-104.
Chan, S. C. and Lu, M. T. (2004), “Understanding internet banking adoption and use behavior: a Hong Kong perspective,” Journal of Global Information Management, 12(3), 21-43.
Chaudhuri, A., and Holbrook, M., B. (2001), “The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty,” Journal of Marketing, Chicage; 65(Apr), 2, 89-100.
Cronbach, L. J., (1951), “Coefficient alpha and the internal structure of the tests,” Psychometrika, 16, 297-334.
Cuieford, (1965), Fundamental Statistics in Psychology and Education. (4th ed.). McGraw Hill.
Davis, F. D. (1986). A Technology Acceptance Model For Empirically Testing New End-User Information Systems: Theory And Results, Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA.
Davis, F. D., Bagozzi, R. P., and Warshaw, P., R. (1989), “User acceptance of computer technology：A comparison of two theoretical models,” Management Science, 35(8), 982-1003.
Edwards, Steven M., Hairong Li, and Joo-Hyun Lee (2002), “Forced Exposure and Psychological Reactance: Antecedents and Consequences of the Perceived Intrusiveness of Pop-up Ads,” Journal of Advertising, 31(3), 83-95.
Featherman, M. S. and Pavlou, P. A. (2003), “Predicting e-services adoption: a perceived risk facets perspective,” International Journal of Human-Computer Studies, 59(4), 415-475.
Gibson, J. J. (1966), the Senses Considered as Perceptual System, Boston: Houghton Mifflin.
Goldberg, M., E. (1976), “Identifying relevant psychographic segments; How specifying product functions can help,” Journal of Consumer Research (3:3), Dec. 163-169.
Hair, Jr. J. F., Anderson, R. E., Tatham, R. L., & Black, W. C.（2006）. Multivariate data analysis, 6th ed, Englewood Cliffs, NJ: Prentice-Hall.
Han J., and Han D. (2001), “A Framework for Analyzing Customer Value of Internet Business”, Journal of Information Technology Theory and Application: 25-38.
Hoffman, D. L. and Novak, T. P. (1996), “Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations,” Journal of Marketing, 60 (July), pp.50-68.
Holbrook, M. B. (1999), Consumer Value: a framework for analysis and research, London, New York: Routledge.
Igbaria, M., and Tan, M. (1997), “The consequence of information technology acceptance subsequent individual performance,” Information and Management, 32, 113-121
Igbaria, M., Iivari, J., and Maragahh, H. (1995), “Why do individuals use computer technology? A Finnish case study,” Information and Management, 29, 227-238.
Jarvis, M. J. (1997), “Patterns and predictors of smoking cessation in the general population,” in Bolliger, C. T. and Fagerstrom, K. O. (Eds.), Progress in Respiratory Research, Basel: Karger, pp.151-164.
Jensen, J. F. (1998), “Interactivity：tracking a new concept in media and communication studies,” Nordicom Review, 19(1), pp.185-204.
Kelman, H. C. (1958), “Complicance, identification, and internalization three processes of attitude change,” The Journal of Conflict Resolution, 251-260.
Keng, C. J. and Lin, H. Y. (2006), “Impact of Telepresence Levels on Internet Advertising Effects,” Cyber Psychology and Behavior, 9(1), pp.82-94.
Klein, L. R. (1999), Creating Virtual Experiences in the New Media. Unpublished Doctoral Dissertation, Harvard Graduate School of Business Administration.
Korgaonkar, P. K., and Wolin, L. D. (1999), “A Multivariate Analysis of Web Usage,” Journalof Advertising Research, 39(2): 53-68.
Liu, Y., & Shrum, L. J.（2002）. What is interactivity and is it always such a goodthing? implications of definition, person, and situation for the influence of interactivity on advertising effectiveness. Journal of Advertising, 31（4）, 53-64.
Marks, D. F. (1972), “Individual Differences in the Vividness of Visual Imagery and Their Effect on Function,” in Sheechan, P. W. (Ed.), the Function and Nature of Imagery, New York: Academic Press, pp.83-108.
Mathwick, C., Malhotra, N., and Rigdon, E., (2001), “Experiential Value: Conceptualization Measurement and Application in the Catalog and Internet Shopping Environment,” Journal of Retailing, 77(1): pp.39-56.
Meyer, M., H. and Zark, H., Z. (1996) “The Desing and Development of Imformation Products,” Sloan Management Review, Spring, pp.43-59.
Moon, J., W., and Kim, Y., G. (2001), “Extending the tam for a world-wide-web context,” Information and Management, 38(4), 217-230.
Novak, T. P. and Hoffman, D.L. (1997), “Measuring the Flow Experience among Web Users,” Project 2000, Vanderbilt University, Paper Presented at Interval Research Corporation, July 31.
Papacharissi, Z., and Rubin, A. (2000), “Predictors of Internet use,” Journal of Broadcasting and Electronic Media, 44 (2), 175–195.
Pine II B.J. and Gilmore, J. H. (1998). Welcome to the Experience Economy, Harvard Business Review, July-August, 97-105.
Stafford, T. F., (2001), “Identifying Motivations for the Use of Commercial Web Sites,” Information Resources Management Journal, 14(1): 22-31.
Steuer, J. (1992), “Defining Virtual Reality: Dimensions Determining Telepresence,” Journal of Communication, 42, pp.73-93
Strauss, J., and Raymond, F., (2001), “E-marketing,” Unpper Saddle River, NJ: Prentice Hall.
Sweeny, J. C., and Soutar, G. N. (2001), “Consumers perceived value: The development of a multiple item scale,” Journal of Retailing (77:2), Sum, 203-220.
Szajna, B. (1996), “Empirical evaluation of the revised technology acceptance model,” Management Science, 42(1), 85-92.
Taylor, S. E. and Thompson, S.C. (1982), “Stalking the Elusive ‘Vividness’ Effect,” Psychological Review, 89, pp.155-181.
Venkatesh, V. (1999), “Creation of favorable user perceptions: Exploring the role of intrinsic motivation,” MIS Quarterly, 23(2), 239-260.
Venkatesh, V. (2000), “Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model,” Information Systems Research, 11(4), 342-365.
Venkatesh, V. and Davis, F. D. (2000), “A theoretical extension of the technology acceptance model: four longitudinal field studies,” Management Science, 46(2), 186-204.
Venkatesh, V., & Davis, F. D. (1996). “A model of the antecedents of perceived ease of use: Development and Test,” Decision Sciences, 27(3), 451-481.
Venkatesh, V., Davis, F. D., and Morris, M. G., (2007), “Dead or Alive? The Development, Trajectory and Future of Technology Adoption Research,” Journal of the AIS (8:4), 268-286.
Warshaw, P. R. (1980), “A new model for predicting behavioral intentions: An alternative to Fishbein,” Journal of Marketing Research, 17(2), 153-172.
Yang, K., and Jolly, L., D. (2006), “Value-added mobile data services: The antecedent effects of consumer value on using mobile data services,” International Journal of Mobile Marketing(1:2), Dec. 11-17.
Zeithaml, V. A. (1988), Consumer Perceptions of Price Quality and Value: a Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3): 2-22.