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The mediating role of mental imagery in mobile advertising

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The future of communication and advertising is mobile. Some forecasts estimate that by 2015 more than 7.1 billion mobile-connected devices will be ready to operate as an advertising medium; however there is little empirical evidence as to exactly how mobile advertising works in the currently prevailing mobile technology. This research examines mental imagery elicited by advertising in the mobile medium and its mediating role in responses to the message: ad trust and purchase intention. Using a factorial experimental design, we examine the influence of the type of message –SMS vs. visual ad– and content orientation strategy –informational vs. transformational– on mental imagery. Results show a greater impact of visual and transformational ads on vividness and elaboration, while SMSs exert greater effect on the quantity dimension. Vivid and elaborate mental imagery mediates the effect of advertising strategies on ad trust and exerts a positive influence on purchase intention.
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Texto completo retirado a petición de la autora con fecha 05-02-2020
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Aaker, D., & Stayman, D. (1992). Implementing the concept of transformational advertising. Psychology and Marketing, 9, 237–253. Argyriou, E. (2012). Consumer intentions to revisit online retailers: a mental imagery account. Psychology and Marketing, 29, 25–35. Babin, L., & Burns, A. (1997). Effects of print ad pictures and copy containing instructions to imagine on mental imagery that mediates attitudes. Journal of Advertising, 26, 33–44. Babin, L., & Burns, A. (1998). A modified scale for the measurement of communication-evoked mental imagery. Psychology and Marketing, 15, 261–278. Bart, Y., Stephen, A. T., & Sarvary, M. (2014). Which products are best suited to mobile advertising? A field study of mobile display advertising effects on consumer attitudes and intentions. Journal of Marketing Research. Forthcoming. Available at SSRN: http://ssrn.com/abstract=2029496 or http://dx.doi.org/10.2139/ssrn.2029496. Bandura, A. (1982). Self-efficacy mechanisms in human agency. American Psychologist, 37, 122-147. Barwise, P., & Perlado, V. R. (2004). Mobile advertising: a research agenda. M. R. Stafford and R. J. Faber, eds. New York: M.E. Sharpe. Bone, P. F., & Ellen, P. S. (1992). The generation and consequences of communication-evoked imagery. Journal of Consumer Research, 19, 93–104. Bucci, W. (1985). Dual coding: a cognitive model for psychoanalytic research. Journal of the American Psychoanalytic Association, 571–607. Burns, A., Biswas, A., & Babin, L. (1993). The operation of visual imagery as a mediator of advertising effects. Journal of Advertising, 22, 71–85. Cisco’s Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2013–2018. Retrieved March 2014 from the website http://www.cisco.com/c/en/us/solutions/collateral /service-provider/visual-networking-index-vni/white_paper_c11-520862.html Deng, Z., Lu, Y., Wei, K. & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International Journal of Information Management, 30, 289–300. Drossos, D. A., Giaglis, G. M., Vlachos, P. A., Zamani, E. D., & Lekakos, G. (2013). Consumer Responses to SMS Advertising: Antecedents and Consequences. International Journal of Electronic Commerce, 18(1), 105-136. Ellen, P. S, & Bone, P. F. (1991). Measuring communication-evoked imagery processing. Advances in Consumer Research 18, 806–812. Experian Marketing Services (2012). Retrieved January 15, 2013, from the Mobile Marketing Watch website, http://www.mobilemarketingwatch.com/2017-the-year-that-mobile-begins-mattering-most-in-marketing-27352/. Fennis, B., Das, E. & Fransen, M. (2011). Print advertising: vivid content. Journal of Business Research, 65, 861–864. Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50. Gefen, D., Karahanna, E. & Straub, D. (2003). Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27, 51–90. Global Trust in Advertising and Brand Message (2013). Retrieved December 2013 from the Nielsen website http://www.nielsen.com/us/en/newswire/2013/under-the-influence-consumer-trust-in-advertising.html Gregory, W., Cialdini, R., & Carpenter, K. (1982). Self-relevant scenarios as mediators of likelihood estimates and compliance: does imagining make it so? Journal of Personality and Social Psychology, 43, 89–99. Holbrook, M., & Hirschman, E. (1982). The experiential aspects of consumption: consumer fantasies, feelings, and fun. Journal of Consumer Research, 9, 132–140. Kahneman, D., & Tversky, A. (1982). The simulation heuristic. judgments under uncertainty: heuristics and biases, eds. Kahneman, D., Slovic, P. & Tversky, A. New York: Cambridge University Press, 201–208. Karjaluoto, H., Lehto, H., Leppäniemi, M., & Jayawardhena, C. (2008). Exploring gender influence on customer’s intention to engage permission-based mobile marketing. Electronic Markets, 18(3), 242. Kavassalis, P., Spyropoulou, N., Drossos, D., Mitrokostas, E., Gikas, G., & Hatzistamatiou, A. (2003). Mobile permission marketing: framing the market inquiry. International Journal of Electronic Commerce, 8, 55–79. Keiras, D. (1978). Beyond pictures and words: alternative information-processing models for imagery effect in verbal memory. Psychological Bulletin, 85, 532–554. Kisielius, J., & Sternthal, B. (1986). Examining the vividness controversy: an availability-valence interpretation. Journal of Consumer Research, 12, 418–431. Kumar, N. (1996). The power of trust in manufacturer-retailer relationships. Harvard Business Review, 74, 92–106. Lee, T. (2005). The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. Journal of Electronic Commerce Research, 6(3), 165–181. Lee, Y. H., & Cheng, Q. (2009). When uncertainty brings pleasure: the role of prospect imageability and mental imagery. Journal of Consumer Research, 36, 624–633. Li, F., & Miniard, P. (2006). On the potential for advertising to facilitate trust in the advertised brand. Journal of Advertising, 35, 101–12. Li, H., Daugherty, T., & Biocca, F. (2003). The role of virtual experience in consumer learning. Journal of Consumer Psychology, 13, 395–407. Lutz, K. A., & Lutz, R. J. (1978). Imagery-eliciting strategies: review and implications of research. Advances in Consumer Research, 5, 611–620. MacInnis, D. J., & Price, L. L. (1987). The role of imagery in information processing: review and extensions. Journal of Consumer Research, 13, 473–91. Marks, D. F. (1972). Individual differences in the vividness of visual imagery and their effects on function in the function and nature of imagery ed. Peter S. Sheehan, New York: Academic Press. McGill, A. L., & Punam, A. (1989). The effect of vivid attributes on the evaluation of alternatives: the role of differential attention and cognitive elaboration. Journal of Consumer Research, 16, 188–196. Menon, A.M., Deshpande, A.D., Zinkhan, G.M. & Perri III, M. (2004). A model of assessing the effectiveness of direct-consumer-advertising: integration of concepts and measures from marketing and healthcare. International Journal of Advertising, 23, 91–118. Mikhailitchenko, A., Rajshekhar G. J., Mikhailitchenko, G,. & Laroche, M. (2009). Cross-cultural advertising communication: visual imagery, brand familiarity, and brand recall. Journal of Business Research, 62, 931–938. Miller, D. W., & Marks, L. J. (1997). The effects of imagery-evoking radio advertising strategies on affective responses. Psychology and Marketing, 14, 337–360. Moorman, C., Deshpande, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Marketing, 57, 81–101. Morgan, R. M., & Hunt, S. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58, 20–38. Okazaki, S., Akihiro, K., & Mamoru, N. (2007). How mobile advertising works: the role of trust in improving attitudes and recall. Journal of Advertising Research, 47, 165–178. Paivio, A., Yuille, J. C., & Madigan, S. (1968). Concreteness, imagery, and meaningfulness values for 925 nouns. Journal of Experimental Psychology, 76, 1–25. Paivio, A. (1986). Mental Representations: A Dual Coding Approach, Oxford: Oxford University Press. Petty, E. R. & Cacioppo, J.T. (1996). Attitudes and Persuasion: Classic and Contemporary Approaches, Boulder, CO, ed. US: Westview Press. Pine, B. J., & Gilmore, J. H. (1998). The experience economy. Harvard Business Review, 76, 97–105. Puto, C., & Wells, W. (1984). Informational and transformational advertising: the differential effects of time. Advances in Consumer Research, 11, 638–643. Richardson, A. (1983). Imagery: definition and types in Imagery: current theory, research, and applications, Anees Sheikh, ed. New York: John Wiley. Rodero, E. (2012). See it on a radio story. Sound effects and shots to evoked imagery and attention on audio fiction. Communication Research, 39, 458–479. Rossiter, J. R., & Larry, P. (1985). Advertising communication models NA - Advances in consumer research volume 12, eds. Elizabeth C. Hirschman and Morris B. Holbrook, Provo, UT: Association for Consumer Research, 510–524. Schifferstein, H. N. J., & Spence, C. (2008). Multisensory product experience in product experience. Hendrik N. J. Schifferstein and Paul Hekkert, eds., Elsevier. Schlosser, A. E. (2003). Experiencing products in the virtual world: the role of goal and imagery in influencing attitudes versus purchase intentions. Journal of Consumer Research, 30, 184–198. Shankar, V., & Sridhar, B. (2009). Mobile marketing: synthesis and prognosis. Journal of Interactive Marketing, 23, 118–129. Shankar, V., Venkatesh, A., Hofacker, Ch. & Naik, P. (2010). Mobile marketing in the retailing environment: current insights and future research avenues. Journal of Interactive Marketing, 24, 110–120. Soh, H., Reid, L., & Whitehill, K. K. (2007). Trust in different advertising media. Journalism and Mass Communication Quarterly, 84, 455–476. Sultan, F., Rohm, A. J., & Gao, T. (2009). Factors influencing consumer acceptance of mobile marketing: a two-country study of youth markets. Journal of Interactive Marketing, 23, 308–320. Unnava, H. R., & Burnkrant, R. E. (1991). An imagery-processing view of the role of pictures in print advertisements. Journal of Marketing Research, 28, 226–231. Unnava, H. R., Agarwal, S., & Haugtvedt, C. P. (1996). Interactive effects of presentation modality and message-generated imagery on recall of advertising information. Journal of Consumer Research, 23, 81–88. Varnali, K. & Toker, A. (2010). Mobile marketing research: The –state-of-the-art. International Journal of Informational Management, 30, 144–151. Watson, C., McCarthy, J., & Rowley, J. (2013). Consumer attitudes towards mobile marketing in the smart phone era. International Journal of Information Management, 33, 840–849. Yang, B., Kim, Y., & Yoo, C. (2013). The integrated mobile advertising model: The effects of technology-and emotion-based evaluations. Journal of Business Research, 66(9), 1345-1352. Yu, J. H. (2013). You've got mobile ads! Young consumers'responses to mobile ads with different types of interactivity. International Journal of Mobile Marketing, 8, 5-22 Zhang, J., & Mao, E. (2008). Understanding the acceptance of mobile SMS advertising among young Chinese consumers. Psychology & Marketing, 25(8), 787–805.
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