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The Perceived Fit between Instagram Influencers and the Endorsed Brand: How Influencer–Brand Fit Affects Source Credibility and Persuasive Effectiveness
Abstract
ABSTRACT Two online studies analyzed the impact of the fit between Instagram influencers and the endorsed brand. The first study used an experimental design and focused on internal validity, whereas the second study employed a survey, presenting results high in external validity. Both studies analyzed the consequences for the influencer concerning his/her perceived trustworthiness and expertise, as well as the impact on brand evaluations and behavioral intentions. Influencer–brand fit had a positive impact on the image of the influencer and on the effectiveness of advertising, especially for followers with low levels of parasocial relationships.
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Cites
Mass Communication and Para-Social Interaction
Horton, D., & Richard Wohl, R. (1956) · Psychiatry · doi:10.1080/00332747.1956.11023049 · Cited by 4,380
Ohanian, R. (1990) · Journal of Advertising · doi:10.1080/00913367.1990.10673191 · Cited by 4,043
The Persuasion Knowledge Model: How People Cope with Persuasion Attempts
Friestad, M., & Wright, P. (1994) · Journal of Consumer Research · doi:10.1086/209380 · Cited by 3,811
Measuring Attitude toward the Brand and Purchase Intentions
Spears, N., & Singh, S. N. (2004) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2004.10505164 · Cited by 1,812
Goldsmith, R. E., Lafferty, B. A., & Newell, S. J. (2000) · Journal of Advertising · doi:10.1080/00913367.2000.10673616 · Cited by 1,301
Boerman, S. C., Willemsen, L. M., & Van Der Aa, E. P. (2017) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2016.12.002 · Cited by 581
Attribution in Social and Parasocial Relationships
PERSE, E. M., & RUBIN, R. B. (1989) · Communication Research · doi:10.1177/009365089016001003 · Cited by 559
Research works printed but not linked: 38
- 10.1080/02650487.2008.11073052 · DOI · Paper page
- 10.1177/002224377701400411 · DOI · Paper page
- 10.2753/JOA0091-3367350308 · DOI · Paper page
- 10.1080/02650487.2015.1137537 · DOI · Paper page
- 10.1080/15534510.2012.663740 · DOI
- 10.1002/mar.21001 · DOI · Paper page
- 10.1080/02650487.2017.1348035 · DOI · Paper page
- 10.1016/j.chb.2016.11.009 · DOI · Paper page
- 10.2501/S0265048710201336 · DOI
- 10.1362/026725799784870379 · DOI · Paper page
- 10.1080/15252019.2017.1366885 · DOI · Paper page
- 10.1080/00218499.1979.12518848 · DOI · Paper page
- Gräve, J.-F. “Exploring the Perception of Influencers vs. Traditional Celebrities: Are Social Media Stars a New Type of Endorser?” Paper presented at the 8th International Conference on Social Media & Society, Association for Computing Machinery, July 28–30, 2017, Toronto.
- Hayes, A. F. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. New York: Guilford Press, 2018.
- 10.1362/026725706777978703 · DOI
- 10.1086/209029 · DOI · Paper page
- 10.1080/00913367.1990.10673175 · DOI · Paper page
- 10.1002/mar.4220110605 · DOI · Paper page
- 10.1080/10641734.1998.10505081 · doi:10.1080/10641734.1998.10505081
- Klimmt, C., T. Hartmann, and H. Schramm. “Parasocial Interactions and Relationships.” In Psychology of Entertainment, J. Bryant and P. Vorderer, eds. Mahwah, NJ: Erlbaum, 2006.
- 10.1080/02650487.2015.1009350 · DOI
- 10.1177/106169340901800104 · DOI
- 10.1016/j.jbusres.2016.04.171 · DOI · Paper page
- 10.1086/209217 · DOI · Paper page
- 10.1086/669042 · DOI · Paper page
- 10.1002/mar.20846 · DOI
- Möll, T. Messung und Wirkung von Markenemotionen. Neuromarketing als neuer verhaltenswissenschaftlicher Ansatz [Measures and Effects of Brand Emotions. Neuro-Marketing as A New Approach to Behavioral Science]. Wiesbaden, Germany: Deutscher Universitäts-Verlag, 2007.
- 10.1080/00218499.1991.12466759 · DOI · Paper page
- 10.1007/978-3-531-94179-0 · doi:10.1007/978-3-531-94179-0
- 10.1080/08838158709386664 · DOI · Paper page
- Schramm, H. “Parasocial Interactions and Relationships.” In The Blackwell International Encyclopedia of Communication, W. Donsbach, ed. Oxford, U.K.: Blackwell, 2008.
- 10.1515/COMM.2008.025 · DOI · Paper page
- Statista.com. (2018, February 8). “Ranking der zehn größten deutschen Influencer auf Instagram nach der Anzahl der Follower im März (in Millionen)” [“Ranking of the Ten Biggest German Instagram Influencers Based on their Followers during March (in Millions)].” Retrieved March 9, 2018, from https://de.statista.com/statistik/daten/studie/696861/umfrage/deutsche-influencer-auf-instagram-nach-anzahl-der-follower/
- Swant, M. “Twitter Says Users Now Trust Influencers Nearly as Much as Their Friends: How Brands Are Taking Advantage of the Trend.” AdWeek, May 10, 2016. Retrieved March 9, 2018, from http://www.adweek.com/digital/twitter-says-users-now-trust-influencers-nearly-much-their-friends-171367/
- 10.1037/h0071663 · DOI · Paper page
- 10.1080/00913367.2000.10673613 · DOI · Paper page
- Tukachinsky, R. “Para-Romantic Love and Para-Friendships: Development and Assessment of a Multiple-Parasocial Relationships Scale.” American Journal of Media Psychology 3, 1–2 (2010): 73–94.
- 10.1108/JRIM-03-2016-0023 · DOI
Cited by
Trust me, trust me not: A nuanced view of influencer marketing on social media
Kim, D. Y., & Kim, H.-Y. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.05.024 · Cited by 804
Leung, F. F., Gu, F. F., & Palmatier, R. W. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-021-00829-4 · Cited by 580
Franke, C., Groeppel-Klein, A., & Müller, K. (2023) · Journal of Advertising · doi:10.1080/00913367.2022.2154721 · Cited by 408
Janssen, L., Schouten, A. P., & Croes, E. A. J. (2022) · International Journal of Advertising · doi:10.1080/02650487.2021.1994205 · Cited by 350
Lee, J. A., Sudarshan, S., Sussman, K. L., Bright, L. F., & Eastin, M. S. (2022) · International Journal of Advertising · doi:10.1080/02650487.2021.1964226 · Cited by 265
Metadata
- Authors
- Breves, P. L., Liebers, N., Abt, M., & Kunze, A.
- Venue
- Journal of Advertising Research
- Publisher
- Informa UK Limited
- Published
- 2019-08-29
- Volume
- 59
- Issue
- 4
- Pages
- 440-454
- ISSN
- 0021-8499 (ISSN-L)
- 1740-1909
- OpenAlex
- W2971238883
- Cited by
- 509
- References
- 7
- FWCI
- 72.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Breves, P. L., Liebers, N., Abt, M., & Kunze, A. (2019). The Perceived Fit between Instagram Influencers and the Endorsed Brand: How Influencer–Brand Fit Affects Source Credibility and Persuasive Effectiveness. Journal of Advertising Research. https://doi.org/10.2501/jar-2019-030
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