The Effects of Native Ads on Consumer Brand Engagement: The Moderating Role of Website Credibility

References

• Attaran, S. , Notarantonio, E. M. , & Quigley, C. J . (2015). Consumer perceptions of credibility and selling intent among advertisements, advertorials, and editorials: A persuasion knowledge model approach. Journal of Promotion Management , 21 (6), 703–720. doi: 10.1080/10496491.2015.1088919
   Google Scholar
• Barber, N. , Ismail, J. , & Taylor, D. C . (2007). Label fluency and consumer self-confidence. Journal of Wine Research , 18 (2), 73–85.
   Google Scholar
• Bello, D. , Leung, K. , Radebaugh, L. , Tung, R. L. , & Van Witteloostuijn, A . (2009). From the editors: Student samples in international business research. Journal of International Business Studies , 40 (3), 361–364. doi: 10.1057/jibs.2008.101
   Web of Science ®Google Scholar
• Boerman, S. C. , Reijmersdal, E. A. , & Neijens, P. C . (2012). Sponsorship disclosure: Effects of duration on persuasion knowledge and brand responses. Journal of Communication , 62 (6), 1047–1064. doi: 10.1111/j.1460-2466.2012.01677.x
   Web of Science ®Google Scholar
• Boerman, S. C. , Willemsen, L. M. , & Van Der Aa, E. P . (2017). “This post is sponsored” effects of sponsorship disclosure on persuasion knowledge and electronic word of mouth in the context of Facebook. Journal of Interactive Marketing , 38 , 82–92. doi: 10.1016/j.intmar.2016.12.002
   Web of Science ®Google Scholar
• Campbell, C. , & Marks, L. J . (2015). Good native advertising isn’t a secret. Business Horizons , 58 (6), 599–606.
   Web of Science ®Google Scholar
• Chaiken, S . (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology , 39 (5), 752–766. doi: 10.1037/0022-3514.39.5.752
   Web of Science ®Google Scholar
• Chaouachi, S. G. , & Rached, K. S. B . (2012). Perceived deception in advertising: Proposition of a measurement scale. Journal of Marketing Research and Case Studies , Article ID 712622, 1–15. doi: 10.5171/2012.712622
   Google Scholar
• Cheung, M. Y. , Luo, C. , Sia, C. L. , & Chen, H . (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce , 13 (4), 9–38. doi: 10.2753/JEC1086-4415130402
   Web of Science ®Google Scholar
• Choi, H . (2017). More students now attracted to electric vehicles. Korea JoongAng Daily. Retrieved from http://koreajoongangdaily.joins.com/news/article/article.aspx?aid=3035121
   Google Scholar
• Darke, P. R. , & Ritchie, R. J . (2007). The defensive consumer: Advertising deception, defensive processing, and distrust. Journal of Marketing Research , 44 (1), 114–127. doi: 10.1509/jmkr.44.1.114
   Web of Science ®Google Scholar
• eMarketer. (2015). What’s the future of Facebook native video ads? Retrieved from http://www.emarketer.com/Article/Whats-Future-of-Facebook-Native-Video-Ads/1011894
   Google Scholar
• Evans, N. J. , Phua, J. , Lim, J. , & Jun, H . (2017). Disclosing Instagram influencer advertising: The effects of disclosure language on advertising recognition, attitudes, and behavioral intent. Journal of Interactive Advertising , 1 , 12. Retrieved from http://dx.doi.org/10.1080/15252019.2017.1366885
   Google Scholar
• Forrest, J. A. , & Feldman, R. S . (2000). Detecting deception and judge’s involvement: Lower task involvement leads to better lie detection. Personality and Social Psychology Bulletin , 26 (1), 118–125. doi: 10.1177/0146167200261011
   Web of Science ®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. doi: 10.1086/209380
   Web of Science ®Google Scholar
• FTC. (2015). Native Advertising: A Guide for Businesses . Retrieved from https://www.ftc.gov/tips-advice/business-center/guidance/native-advertising-guide-businesses
   Google Scholar
• Gangadharbatla, H . (2008). Facebook me: Collective self-esteem, need to belong, and internet self-efficacy as predictors of the iGeneration’s attitudes toward social networking sites. Journal of Interactive Advertising , 8 (2), 5–15.
   Google Scholar
• George, J. F. , Giordano, G. , & Tilley, P. A . (2016). Website credibility and deceiver credibility: Expanding Prominence-Interpretation Theory. Computers in Human Behavior , 54 , 83–93. doi: 10.1016/j.chb.2015.07.065
   Web of Science ®Google Scholar
• Giner-Sorolila, R. , & Chaiken, S . (1997). Selective use of heuristic and systematic processing under defense motivation. Personality and Social Psychology Bulletin , 23 (1), 84–97. doi: 10.1177/0146167297231009
   Web of Science ®Google Scholar
• Goodstein, R. C . (1993). Category-based applications and extensions in advertising: Motivating more extensive ad processing. Journal of Consumer Research , 20 (1), 87–99. doi: 10.1086/209335
   Web of Science ®Google Scholar
• Hass, R. G . (1981). Effects of source characteristics on cognitive response and persuasion. In R. E. Petty, T. M. Ostrom, & T. C. Brock (Eds.), Cognitive Responses in Persuasion (pp. 141–172). Hillsdale, NJ:Lawrence Erlbaum Associates, Inc.
   Google Scholar
• Hayes, A. F . (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach . New York: Guilford Publications.
   Google Scholar
• Hayes, A. F . (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research , 50 (1), 1–22. doi: 10.1080/00273171.2014.962683
   PubMed Web of Science ®Google Scholar
• Hoofnagle, C. , & Meleshinsky, E . (2015). Native advertising and endorsement: Schema, source-based misleadingness, and omission of material facts. Technology Science , 2015121503. December 15, 2015. Retrieved from https://techscience.org/a/2015121503
   Google Scholar
• Hovland, C. I. , & Weiss, W . (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly , 15 (4), 635–650. doi: 10.1086/266350
   Web of Science ®Google Scholar
• Huang, C. Y. , Chou, C. J. , & Lin, P. C . (2010). Involvement theory in constructing bloggers' intention to purchase travel products. Tourism Management , 31 (4), 513–526. doi: 10.1016/j.tourman.2009.06.003
   Web of Science ®Google Scholar
• Interactive Advertising Bureau. (2013). Native advertising playbook . Interactive Advertising Bureau. Retrieved from http://www.iab.net/nativeadvertising
   Google Scholar
• Józsa, K. , & Morgan, G. A . (2017). Reversed items in Likert scales: Filtering out invalid responders. Journal of Psychological & Educational Research , 25 (1), 7–25.
   Web of Science ®Google Scholar
• Khang, H. , Ki, E. J. , & Ye, L . (2012). Social media research in advertising, communication, marketing, and public relations, 1997–2010. Journalism & Mass Communication Quarterly , 89 (2), 279–298. doi: 10.1177/1077699012439853
   Web of Science ®Google Scholar
• Kim, C. K. , Lavack, A. M. , & Smith, M . (2001). Consumer evaluation of vertical brand extensions and core brands. Journal of Business Research , 52 (3), 211–222. doi: 10.1016/S0148-2963(99)00107-1
   Web of Science ®Google Scholar
• Ko, D. G. , Kirsch, L. J. , & King, W. R . (2005). Antecedents of knowledge transfer from consultants to clients in enterprise system implementations. MIS Quarterly , 29 (1), 59–85.
   Web of Science ®Google Scholar
• Krouwer, S. , Poels, K. , & Paulussen, S . (2017). To disguise or to disclose? The influence of disclosure recognition and brand presence on readers' responses towards native advertisements in online news media. Journal of Interactive Advertising , 17 (2), 124–137. doi: 10.1080/15252019.2017.1381579
   Google Scholar
• Lazauskas, J . (2014). Study: Sponsored content has a trust problem. Contently. https://contently.com/strategist/2014/07/09/study-sponsored-content-has-a-trust-problem-2/
   Google Scholar
• Lee, J. , Kim, S. , & Ham, C. D . (2016). A double-edged sword? Predicting consumers’ attitudes toward and sharing intention of native advertising on social media. American Behavioral Scientist , 60 (12), 1425–1441. doi: 10.1177/0002764216660137
   Web of Science ®Google Scholar
• Lee, J. K. , Lee, B. K. , & Lee, W. N . (2013). Country-of-origin fit's effect on consumer product evaluation in cross-border strategic brand alliance. Journal of Business Research , 66 (3), 354–363. doi: 10.1016/j.jbusres.2011.08.016
   Web of Science ®Google Scholar
• Liberman, A. , & Chaiken, S . (1992). Defensive processing of personally relevant health messages. Personality and Social Psychology Bulletin , 18 (6), 669–679. doi: 10.1177/0146167292186002
   Web of Science ®Google Scholar
• Matteo, S. , & Dal Zotto, C . (2015). Native advertising, or how to stretch editorial to sponsored content within a transmedia branding era. In Handbook of media branding (pp. 169–185). New York, NY: Springer.
   Google Scholar
• McGorry, S. Y . (2000). Measurement in a cross-cultural environment: Survey translation issues. Qualitative Market Research: An International Journal , 3 (2), 74–81. doi: 10.1108/13522750010322070
   Google Scholar
• Meenaghan, T. , & Shipley, D . (1999). Media effect in commercial sponsorship. European Journal of Marketing , 33 (3/4), 328–348. doi: 10.1108/03090569910253170
   Google Scholar
• Meule, A . (2017). Interactive effects between flexible and rigid control of eating behavior on body weight: A moderated serial multiple mediation model. Health Psychology Report , 5 (4), 314–322.
   Web of Science ®Google Scholar
• Neil Maddox, R . (1982). The structure of consumers' satisfaction: Cross-product comparisons. Journal of the Academy of Marketing Science , 10 (1–2), 37–53. doi: 10.1007/BF02721898
   Google Scholar
• Nelson, M. R. , Wood, M. L. , & Paek, H. J . (2009). Increased persuasion knowledge of video news releases: Audience beliefs about news and support for source disclosure. Journal of Mass Media Ethics , 24 (4), 220–237. doi: 10.1080/08900520903332626
   Web of Science ®Google Scholar
• Oliver, J. D. , & Lee, S. H . (2010). Hybrid car purchase intentions: A cross-cultural analysis. Journal of Consumer Marketing , 27 (2), 96–103. doi: 10.1108/07363761011027204
   Google Scholar
• Park, C. , & Lee, T. M . (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research , 62 (1), 61–67. doi: 10.1016/j.jbusres.2007.11.017
   Web of Science ®Google Scholar
• Patti, C. H. , & Chen, C. H . (2009). Types of word-of-mouth messages: Information search and credence-based services. Journal of Promotion Management , 15 (3), 357–381. doi: 10.1080/10496490903185760
   Google Scholar
• Petty, R. D. , & Andrews, J. C . (2008). Covert marketing unmasked: A legal and regulatory guide for practices that mask marketing messages. Journal of Public Policy & Marketing , 27 (1), 7–18. doi: 10.1509/jppm.27.1.7
   Web of Science ®Google Scholar
• Petty, R. E. , & Cacioppo, J. T . (1986). Message elaboration versus peripheral cues. In Communication and persuasion (pp. 141–172). New York, NY: Springer.
   Google Scholar
• Pillai, K. G. , Brusco, M. , Goldsmith, R. , & Hofacker, C . (2015). Consumer knowledge discrimination. European Journal of Marketing , 49 (1/2), 82–100. doi: 10.1108/EJM-05-2012-0288
   Web of Science ®Google Scholar
• Politz, A . (1962). A measure of advertising effectiveness: The influence of audience selectivity and editorial environment . New York, NY: Alfred Politz Research, Inc.
   Google Scholar
• Preacher, K. J. , Rucker, D. D. , & Hayes, A. F . (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research , 42 (1), 185–227. doi: 10.1080/00273170701341316
   PubMed Web of Science ®Google Scholar
• Román, S . (2010). Relational consequences of perceived deception in online shopping: the moderating roles of type of product, consumer’s attitude toward the internet and consumer’s demographics. Journal of Business Ethics , 95 (3), 373–391. doi: 10.1007/s10551-010-0365-9
   Web of Science ®Google Scholar
• Rossiter, J. R. , & Percy, L . (1980). Attitude change through visual imagery in advertising. Journal of Advertising , 9 (2), 10–16. doi: 10.1080/00913367.1980.10673313
   Google Scholar
• Rotfeld, H. J . (2008). The stealth influence of covert marketing and much ado about what may be nothing. Journal of Public Policy & Marketing , 27 (1), 63–68. doi: 10.1509/jppm.27.1.63
   Web of Science ®Google Scholar
• Sebastian, M . (2014). Native ad spending to jump despite marketer reservations. Advertising Age. Retrieved from https://adage.com/article/digital/native-ad-spending-jumps-marketers-reservations/295956
   Google Scholar
• Shamdasani, P. N. , Stanaland, A. J. , & Tan, J . (2001). Location, location, location: Insights for advertising placement on the web. Journal of Advertising Research , 41 (4), 7–21. doi: 10.2501/JAR-41-4-7-21
   Web of Science ®Google Scholar
• Sweetser, K. D. , Ahn, S. J. , Golan, G. J. , & Hochman, A . (2016). Native advertising as a new public relations tactic. American Behavioral Scientist , 60 (12), 1442–1457. doi: 10.1177/0002764216660138
   Web of Science ®Google Scholar
• Thomas, R. W . (2011). When student samples make sense in logistics research. Journal of Business Logistics , 32 (3), 287–290. doi: 10.1111/j.2158-1592.2011.01023.x
   Web of Science ®Google Scholar
• Wang, Y. , & Li, Y . (2017). Understanding “native advertising” from the perspective of communication strategies. Journal of Promotion Management , 23 (6), 913–929.
   Google Scholar
• Wojdynski, B. W . (2016). The deceptiveness of sponsored news articles: How readers recognize and perceive native advertising. American Behavioral Scientist , 60 (12), 1475–1491. doi: 10.1177/0002764216660140
   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. doi: 10.1080/00913367.2015.1115380
   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. doi: 10.1177/0002764216660139
   Web of Science ®Google Scholar