Golan, G. J., & Zaidner, L. (2008). Creative strategies in viral advertising: An application of Taylor’s six-segment message strategy wheel. Journal of Computer-Mediated Communication, 13(4), 959–972.
Article
Google Scholar
Hennig-Thurau, T., & Walsh, G. (2004). Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the Internet. International Journal of Electronic Commerce, 8(2), 51–74.
Google Scholar
Hinz, O., Skiera, B., Barrot, C., & Becker, J. U. (2011). Seeding strategies for viral marketing: An empirical comparison. Journal of Marketing, 75(6), 55–71.
Article
Google Scholar
Phelps, J. E., Lewis, R., Mobilio, L., Perry, D., & Raman, N. (2004). Viral marketing or electronic word-of-mouth advertising: Examining consumer responses and motivations to pass along email. Journal of Advertising Research, 44(4), 333–348.
Google Scholar
Ho, J. Y. C., & Dempsey, M. (2010). Viral marketing: Motivations to forward online content. Journal of Business Research, 63(9/10), 1000–1006.
Article
Google Scholar
Lian, S. (2011). Innovative Internet video consuming based on media analysis techniques. Electronic Commerce Research, 11(1), 75–89.
Article
Google Scholar
Gill, J. (2006). Contagious commercials: How to get in on the Youtube craze. Inc., 28(11), 31–32.
Google Scholar
Online-Publishers-Association (2007). Frame of reference: Online video advertising, content and consumer behavior. http://www.online-publishers.org/media/file/OPAFramesofReferenceFINA1024.pdf. Accessed 30 June 2011.
Chiu, H.-C., Hsieh, Y.-C., Kao, Y.-H., & Lee, M. (2007). The determinants of email receivers’ disseminating behaviors on the Internet. Journal of Advertising Research, 47(4), 524–534.
Article
Google Scholar
Huang, C.-C., Lin, T.-C., & Lin, K.-J. (2009). Factors affecting pass-along email intentions (PAEIs): Integrating the social capital and social cognition theories. Electronic Commerce Research and Applications, 8(3), 160–169.
Article
Google Scholar
van der Lans, R., van Bruggen, G., Eliashberg, J., & Wierenga, B. (2010). A viral branching model for predicting the spread of electronic word of mouth. Marketing Science, 29(2), 348–365.
Article
Google Scholar
Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion: Psychological studies of opinion change. New Haven: Yale University Press.
Google Scholar
Dobele, A., Lindgreen, A., Beverland, M., Vanhamme, J., & van Wijk, R. (2007). Why pass on viral messages? Because they connect emotionally. Business Horizons, 50(4), 291–304.
Article
Google Scholar
Ajzen, I. (1992). Persuasive communication theory in social psychology: A historical perspective. In M. J. Manfredo (Ed.), Influencing human behavior: Theory and applications in recreation, tourism, and natural resources management (pp. 1–27). Champaign: Sagamore.
Google Scholar
Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Orlando: Hartcourt Brace.
Google Scholar
Lasswell, H. D. (1948). The structure and function of communication in society. In L. Bryson (Ed.), Communication of ideas (pp. 37–51). New York: Harper and Row.
Google Scholar
Marsen, S. (2006). Methods and models of communication studies. In S. Marsen (Ed.), Communication studies. New York: Palgrave Macmillan.
Google Scholar
Duncan, T., & Moriarty, S. E. (1998). A communication-based marketing model for managing relationships. Journal of Marketing, 62(2), 1–13.
Article
Google Scholar
Bruner, J. S. (1957). On going beyond the information given. In H. E. Gruber, K. R. Hammond, & R. Jessor (Eds.), Contemporary approaches to cognition (pp. 41–69). Cambridge: Harvard University Press.
Google Scholar
Asch, S. E. (1946). Forming impressions of personality. Journal of Abnormal and Social Psychology, 41, 258–290.
Article
Google Scholar
Morreale, S. P., Spitzberg, B. H., & Barge, J. K. (2001). Human communication: Motivation, knowledge and skills. Belmont: Wadsworth/Thomson Learning.
Google Scholar
Purcell, K. (2010). The State of Online Video. http://www.pewinternet.org/Press-Releases/2010/State-of-Online-Video.aspx. Accessed 30 June 2011.
Madden, M. (2007). Online video proliferates as viewers share what they find online; 57 % of online adults watch or download video. http://www.pewinternet.org/Press-Releases/2007/Online-video-proliferates-as-viewers-share-what-they-find-online-57-of-online-adults-watc.aspx. Accessed 30 June 2011.
Paivio, A. (1991). Dual coding theory: Retrospect and current status. Canadian Journal of Psychology, 45(3), 255–287.
Article
Google Scholar
Jiang, Z., & Benbasat, I. (2007). The effects of presentation formats and task complexity on online consumers’ product understanding. Management Information Systems Quarterly, 31(3), 475–500.
Google Scholar
Dobele, A., Tolemanb, D., & Beverland, M. (2005). Controlled infection! Spreading the brand message through viral marketing. Business Horizons, 48, 143–149.
Article
Google Scholar
Cowley, E., & Barron, C. (2008). When product placement goes wrong: The effects of program liking and placement prominence. Journal of Advertising, 37(1), 89–98.
Article
Google Scholar
Gupta, P. B., & Lord, K. L. (1998). Product placement in movies: The effect of prominence and mode on audience recall. Journal of Current Issues and Research in Advertising, 20(1), 47–59.
Google Scholar
Van Reijmersdal, E. (2009). Brand placement prominence: Good for memory! Bad for attitudes? Journal of Advertising Research, 49(2), 151–153.
Article
Google Scholar
Friestad, M., & Wright, P. (1994). The persuasion knowledge model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1–31.
Article
Google Scholar
Wei, C.-P., Chen, H.-C., & Cheng, T.-H. (2008). Effective spam filtering: A single-class learning and ensemble approach. Decision Support Systems, 45(3), 491–503.
Article
Google Scholar
Beard, F. K. (2005). One hundred years of humor in American advertising. Journal of Macromarketing, 25(1), 54–65.
Article
Google Scholar
Cline, T. W., Altsech, M. B., & Kellaris, J. J. (2003). When does humor enhance or inhibit Ad responses? The moderating role of the need for humor. Journal of Advertising, 32(3), 31–45.
Google Scholar
Shabbir, H., & Thwaites, D. (2007). The use of humor to mask deceptive advertising: It’s no laughing matter. Journal of Advertising, 36(2), 75–85.
Article
Google Scholar
Eisend, M. (2009). A meta-analysis of humor in advertising. Journal of the Academy of Marketing Science, 37(2), 191–203.
Article
Google Scholar
Rimé, B., Corsini, S., & Herbette, G. (2002). Emotion, verbal expression, and the social sharing of emotion. In S. R. Fussell (Ed.), The verbal communication of emotions: Interdisciplinary perspectives (pp. 185–208). Hillsdale: Lawrence Erlbaum Associates.
Google Scholar
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554–571.
Article
Google Scholar
Severin, W. (1967). Another look at cue summation. Audio Visual Communication Review, 15(4), 233–245.
Google Scholar
Rieber, L. P., Tzeng, S.-C., & Tribble, K. (2004). Discovery learning, representation, and explanation within a computer-based simulation: finding the right mix. Learning and Instruction, 14(3), 307–323.
Article
Google Scholar
Mayer, R. E. (2003). The promise of multimedia learning: Using the same instructional design methods across different media. Learning and Instruction, 13, 125–139.
Article
Google Scholar
Nathan, R. J., & Yeow, P. H. P. (2011). Crucial web usability factors of 36 industries for students: a large-scale empirical study. Electronic Commerce Research, 11(2), 151–180.
Article
Google Scholar
Cook, D. L., & Coupey, E. (1998). Consumer behavior and unresolved regulatory issues in electronic marketing. Journal of Business Research, 41(3), 231–238.
Article
Google Scholar
Appia, O. (2006). Rich media, poor media: The impact of audio/video vs. text/picture testimonial Ads on browsers’ evaluations of commercial web sites and online products. Journal of Current Issues and Research in Advertising, 28(1), 73–86.
Google Scholar
Otondo, R. F., Scotter, J. R. V., Allen, D. G., & Palvia, P. (2008). The complexity of richness: Media, message, and communication outcomes. Information & Management, 45(1), 21–30.
Article
Google Scholar
Lutz, R. J. (1985). Antecedents of attitude toward the ad: A conceptual framework. In L. F. Alwitt & A. A. Mitchell (Eds.), Psychological processes and advertising effects: Theory, research, and application (pp. 45–63). Hillsdale: Lawrence Erlbaum.
Google Scholar
Reardon, J., & Miller, C. (2008). Smoking prevention messages for adolescents: how intensity, valence, and recipient of consequences affect attitude toward the ad and intent to smoke. Journal of Marketing Theory and Practice, 16(1), 67–77.
Article
Google Scholar
Zikmund, W. G. (2007). Business research methods (7th ed.). Mason: South-Western College.
Google Scholar
Gulas, C. S., & Weinberger, M. G. (2006). Humor in advertising: A comprehensive analysis. New York: Sharpe.
Google Scholar
Weinberger, M. G., Spotts, H., Campbell, L., & Parsons, A. L. (1995). The use and effect of humor in different advertising media. Journal of Advertising Research, 35(3), 44–56.
Google Scholar
Arias-Bolzmann, L., Chakraborty, G., & Mowen, J. C. (2000). Effects of absurdity in advertising: The moderating role of product category attitude and the mediating role of cognitive responses. Journal of Advertising, 29(1), 35–49.
Google Scholar
Coyle, J. R., & Thorson, E. (2001). The effects of progressive levels of interactivity and vividness in web marketing sites. Journal of Advertising, 30(3), 65–77.
Google Scholar
Hong, W., Thong, J. Y. L., & Tam, K. Y. (2004). The effects of information format and shopping task on consumers’ online shopping behavior: A cognitive fit perspective. Journal of Management Information Systems, 21(3), 149–184.
Google Scholar
Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: an initial examination. Journal of Retailing, 76(3), 309–322.
Article
Google Scholar
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). New Jersey: Prentice Hall.
Google Scholar
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology. Monograph Supplement, 51(6), 1173–1182.
Article
Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Lawrence Erlbaum.
Google Scholar
Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531–544.
Article
Google Scholar
Analtech (2010). Adventures of Ana L’Tech. http://www.analtech.com/adventuresofana_hi_res.html. Accessed 30 June 2011.
Netcosm (2007). Network Monitoring Software—NetQoS Netcosm. http://tw.youtube.com/watch?v=dtC6ZM0_m8U. Accessed 30 June 2011.
Weinberger, M. G., & Spotts, H. E. (1989). A situational view of information content in TV advertising in the US and UK. Journal of Marketing, 53(1), 89–94.
Article
Google Scholar
Goldsmith, R. E., Lafferty, B. A., & Newell, S. J. (2000). The impact of corporate credibility and celebrity credibility on consumer reaction to advertisements and brands. Journal of Advertising, 29(3), 43–54.
Google Scholar
Ulbrich, F., Christensen, T., & Stankus, L. (2011). Gender-specific on-line shopping preferences. Electronic Commerce Research, 11(2), 1–19.
Article
Google Scholar
Feiereisen, S., Broderick, A. J., & Douglas, S. P. (2009). The effect and moderation of gender identity congruity: Utilizing “real women” advertising images. Psychology & Marketing, 26(9), 813–843.
Article
Google Scholar