You don’t fool me! Consumer perceptions of digital native advertising and banner advertising

References

• Batra, R., & Ray, M. L. (1986). Affective responses mediating acceptance of advertising. Journal of Consumer Research, 13(2), 234–249.
   Web of Science ®Google Scholar
• Bergkvist, L., & Rossiter, J. (2009). Tailor-made single-item measures of double concrete constructs. International Journal of Advertising, 28(4), 607–621.
   Web of Science ®Google Scholar
• Bhatnagar, N., Aksoy, L., & Malkock, S. A. (2004). Embedding brands within media content: The impact of message, media, and consumer characteristics on placement efficacy. In L. J. Shrum (Ed.), The psychology of entertainment media: Blurring the lines between entertainment and persuasion (pp. 99–116). New York, NY: Erlbaum.
   Google Scholar
• Biehal, G., Stephens, D., & Curlo, E. (1992). Attitude toward the Ad and brand choice. Journal of Advertising, 21(3), 19–36.
   Web of Science ®Google Scholar
• Boerman, S. C, van Reijmersdal, E. A, & Neijens, P. C. (2012). Sponsorship disclosure: effects of duration on persuasion knowledge and brand responses. Journal Of Communication, 62(2 6), 1047-1067. doi:10.1111/j.1460-2466.2012.01677.x
   Web of Science ®Google Scholar
• Boerman, S. C., van Reijmersdal, E. A., & Neijens, P. C. (2014). Effects of sponsorship disclosure timing on the processing of sponsored content: A study on the effectiveness of European disclosure regulations. Psychology and Marketing, 31(3), 214–224.
   Web of Science ®Google Scholar
• Burns, K. S., & Lutz, R. J. (2006). The function of format. Journal of Advertising, 35(1), 53–63.
   Web of Science ®Google Scholar
• Campbell, C., & Evans, N. J. (2018). The role of a companion banner and sponsorship transparency in recognizing and evaluating article-style native advertising. Journal of Interactive Marketing, 43(C), 17–32.
   Google Scholar
• Campbell, M. C., & Kirmani, A. (2000). Consumers’ use of persuasion knowledge: The effects of accessibility and cognitive capacity on perceptions of an influence agent. Journal of Consumer Research, 27(1), 69–83.
   Web of Science ®Google Scholar
• Carlson, M. (2015). When news sites go native: Redefining the advertising-editorial divide in response to native advertising. Journalism, 16(7), 1–17.
   Web of Science ®Google Scholar
• Chaiken, S., & Trope, Y. (Eds). (1999). Dual-process theories in social psychology. New York, NY: The Guilford Press.
   Google Scholar
• Cho, C.-H., & Cheon, H. (2004). Why do people avoid advertising on the internet? Journal of Advertising, 33(4), 89–97.
   Web of Science ®Google Scholar
• Darke, P. R., & Ritchie, R. J. (2007). The defensive customer: Advertising deception, defensive processing and distrust. Journal of Marketing Research, 44(1), 114–127.
   Web of Science ®Google Scholar
• eMarketer.com. (2018, April 11). Native Ad spend will make up nearly 60% of display spending in 2018. Retrieved from https://www.emarketer.com/content/native-ad-spend-will-make-up-nearly-60-of-display-spending-in-2018
   Google Scholar
• Evans, N. J., & Park, D. (2015). Rethinking the persuasion knowledge model: Schematic antecedents and associative outcomes of persuasion knowledge activation for covert advertising. Journal of Current Issues and Research in Advertising, 36(2), 157–176.
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading, MA: Addison Wesley.
   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.
   Web of Science ®Google Scholar
• Gauzente, C., & Roy, Y. (2012). Message content in keyword campaigns, click behavior, and price-consciousness: A study of millennial consumers. Journal of Retailing and Consumer Services, 19(1), 78–87.
   Google Scholar
• Gawronski, B., & Creighton, L. A. (2013). Dual-process theories.In The Oxford Handbook of SocialCognition. New York, NY; Oxford University Press. 282-312.
   Google Scholar
• Hair, J. F., Hult, T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modelling (PLS-SEM). Thousand Oaks, CA: Sage.
   Google Scholar
• Harms, B., Bijmolt, T. H. A., & Hoekstra, J. C. (2017). Digital native advertising: The practitioners’ perspective and a research agenda. Journal of Interactive Advertising, 17(2), 80–91.
   Google Scholar
• HBO Entertainment; Last Week Tonight with JohnOliver: Native Advertising (HBO television broadcast Aug. 3,2014), available at http://www.hbo.com/#/last-week-tonight-withjohn-oliver/episodes/1/13-august-3-2014/video/ep-13-clip-nativeadvertising.html.
   Google Scholar
• Henseler, J. (2017). Chapter 12. Partial least squares path modelling. In P. S. H. Leeflang, J. E. Wieringa, T. H. A. Bijmolt, & K. H. Pauwels (Eds.), 361-381, Advanced mehods for modeling markets. Cham, Switzerland: Springer.
   Google Scholar
• Holbrook, M. B., & Batra, R. (1987). Assessing the role of emotions as mediators of consumer responses to advertising. Journal of Consumer Research, 14(3), 404–420.
   Web of Science ®Google Scholar
• Jin, C. H., & Villegas, J. (2007). Consumer responses to advertising on the internet: The effect of individual difference on ambivalence and avoidance. Cyberpsychology & Behavior, 10(2), 258–266.
   PubMedGoogle Scholar
• Kim, S, & Choi, S. (2012). An examination of effects of credibility and congruency on consumer responses to banner advertisements. Journal Of Internet Commerce, 11(2), 139-160. doi:10.1080/15332861.2012.689565
   Google Scholar
• Kirmani, A., & Campbell, M. C. (2004). Goal seeker and persuasions entry: How consumer targets respond to interpersonal marketing persuasion. Journal of Consumer Research, 31 (3), 573–582.
   Web of Science ®Google Scholar
• Kirmani, A., & Zhu, R. (2007). Vigilant against manipulation: The effect of regulatory focus on the use of persuasion knowledge. Journal of Marketing Research, 44, 688–701.
   Web of Science ®Google Scholar
• Lafferty, B. A., Goldsmith, R. E., & Newell, S. J. (2002). The dual credibility model: The influence of corporate and endorser credibility on attitudes and purchase intentions. Journal of Marketing Theory and Practice, 10(3), 1.
   Google Scholar
• Lawlor, M. A., & Prothero, A. (2008). Exploring children’s understanding of television advertising: Beyond the advertiser’s perspective. European Journal of Marketing, 42(11/12), 1203–1223.
   Web of Science ®Google Scholar
• Lee, J., & Ahn, J. (2012). Attention to banner Ads and their effectiveness: An eye-tracking approach. International Journal of Electronic Commerce, 17(1), 119–137.
   Web of Science ®Google Scholar
• Liu, C., Lo, S., Hsieh, A., & Hwang, Y. (2018). Effects of banner Ad shape and the schema creating process on consumer internet browsing behavior. Computers in Human Behavior, 86, 9–17.
   Web of Science ®Google Scholar
• Lobschat, L., Osinga, E. C., & Reinartz, W. J. (2017). What happens online stays online? Segment-specific online and offline effects of banner advertisements. Journal of Marketing Research, 54(6), 901–913.
   Web of Science ®Google Scholar
• Machleit, K., Allen, C. T., & Madden, T. J. (1993). The mature brand and brand interest: An alternative consequence of ad-evoked affect. Journal of Marketing, 57(4), 72.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. Journal of Marketing Research, 23, 130–143.
   Web of Science ®Google Scholar
• MacKinnon, D. P. (2000). Contrasts in multiple mediator models. In J. S. Rose & L. Chassin (Eds.), Multivariate applications in substance use research: New methods for new questions (pp. 141–160). Mahwah, NJ: Erlbaum.
   Google Scholar
• Manchanda, P., Dube, J.-P., Goh, K.-Y., & Chintagunta, P. G. (2006). The effect of banner advertising on Internet Purchasing. Journal of Marketing Research, 43(1), 98–108.
   Web of Science ®Google Scholar
• Papyrina, V. (2015). Men and women watching and reading: Gender and information processing opportunity effects in advertising. Journal of Marketing Communications, 21(2), 125–143.
   Google Scholar
• Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.
   PubMed Web of Science ®Google Scholar
• Ryu, G., Lim, E. A. C., Tan, L. T. L., & Han, Y. J. (2007). Preattentive processing of banner advertisements: The role of modality, location, and interference. Electronic Commerce Research and Applications, 6(1), 6–18.
   Web of Science ®Google Scholar
• Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998–4010.
   Web of Science ®Google Scholar
• Smith, K. T. (2011). Digital marketing strategies that millennials find appealing, motivating, or just annoying. Journal of Strategic Marketing, 19(6), 489–499.
   Google Scholar
• 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.
   Google Scholar
• Sweetser, K. D, Ahn, Sun Joo (Grace), Golan, G. J, & Hochman, A. (2016). Native advertising as a new public relations tactic. American Behavioral Scientist, 60(12), 1442-1458. doi:10.1177/0002764216660138
   Web of Science ®Google Scholar
• Tapscott, D. (2009). Grown up digital: How the net generation is changing the world. New York, NY: McGraw-Hill.
   Google Scholar
• Tsang, M., Ho, S., & Liang, T. (2004). Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8(3), 65–78.
   Web of Science ®Google Scholar
• Tutaj, K., & Van Reijmersdal, E. A. (2012). Effects of online advertising format and persuasion knowledge on audience reactions. Journal of Marketing Communications, 18(1), 5–18.
   Google Scholar
• Vranica, S. (2016, June 19). Advertisers try new tactics to break through to consumers. The Wall Street Journal. Retrieved from http://www.wsj.com/articles/advertisers-try-new-tactics-to-break-through-to-consumers-1466328601
   Google Scholar
• Wedel, M., & Pieters, R. (2015). The buffer effect: The role of color when advertising exposures are brief and blurred. Marketing Science, 34(1), 134–143.
   Web of Science ®Google Scholar
• Wojdynski, B. W. (2016a). Native advertising: Engagement, deception, and implications for theory. In R. Brown, V. K. Jones, & B. M. Wang (Eds.), The new advertising: Branding, content and consumer relationships in a data-driven social media era (pp. 203–236). Santa Barbara, CA: Praeger/ABC Clio.
   Google Scholar
• Wojdynski, B. W. (2016b). The deceptiveness of sponsored news articles: How readers recognize and perceive native advertising. American Behavioral Scientist, 60(12), 1475–1491.
   Web of Science ®Google Scholar
• Wojdynski, B. W., & Evans, N. J. (2016). Going native: Effects of disclosure position and language on the recognition and evaluation of online native advertising. Journal of Advertising, 45(2), 157–168.
   Web of Science ®Google Scholar
• Wojdynski, B. W., & Golan, G. J. (2016). Native advertising and the future of mass communication. American Behavioral Scientist, 60(12), 1403–1407.
   Web of Science ®Google Scholar
• Wu, M., Huang, Y., Li, R., Bortree, D. S., Yang, F., Xiao, A., & Wang, R. (2016). A tale of two sources in native advertising: Examining the effects of source credibility and priming on content, organizations, and media evaluations. American Behavioral Scientist, 60(12), 1492–1509.
   Web of Science ®Google Scholar
• Zenith Optimedia. (2018, March). Advertising expenditures forecast. Retrieved from https://www.zenithmedia.com/wp-content/uploads/2018/03/Adspend-forecasts-March-2018-executive-summary.pdf
   Google Scholar