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Understanding influencer marketing: The role of congruence between influencers, products and consumers
Open accessAbstract
Influencers increasingly provide sources of information and innovation to followers. Grounded in balance, cognitive dissonance, and congruity theories, the current article highlights how a congruence psychological mechanism, leveraged in influencer marketing campaigns, can contribute to the success of this novel form of persuasive communication. To understand consumers’ behavioral intentions when they encounter product recommendations from fashion influencers on Instagram, this study addresses the congruence among the three inherent contributors to any influencer marketing campaign: the influencer, the consumer (or follower), and the sponsored brand. The study involves 372 followers of a famous fashion influencer. Results confirm that when influencer–consumer congruence is fixed and high, high (low) influencer–product congruence prompts high (low) consumer–product congruence. Strong congruence between the consumer and product then generates more favorable attitudes toward the product, as well as higher purchase and recommendation intentions, ensuring optimal returns on influencer marketing campaigns.
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
The psychology of interpersonal relations.
Heider, F. (1958) · doi:10.1037/10628-000 · Cited by 13,457
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
The Psychology of Interpersonal Relations.
Newcomb, T., & Heider, F. (1958) · American Sociological Review · doi:10.2307/2089062 · Cited by 11,822
(1993) · Medical Entomology and Zoology · Cited by 7,690
Essentials of Psychological Testing
Rosner, B., & Cronbach, L. J. (1960) · The American Journal of Psychology · doi:10.2307/1419921 · Cited by 4,513
Research works printed but not linked: 1
- Festinger, 1957, Vol. 2
Cited by
Effective influencer marketing: A social identity perspective
Farivar, S., & Wang, F. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103026 · Cited by 251
Pizzi, G., Vannucci, V., Mazzoli, V., & Donvito, R. (2023) · Psychology & Marketing · doi:10.1002/mar.21813 · Cited by 194
Chatbots in frontline services and customer experience: An anthropomorphism perspective
Nguyen, M., Casper Ferm, L., Quach, S., Pontes, N., & Thaichon, P. (2023) · Psychology & Marketing · doi:10.1002/mar.21882 · Cited by 119
Kılıç, İ., & Gürlek, M. (2024) · Journal of Sustainable Tourism · doi:10.1080/09669582.2023.2273755 · Cited by 71
Kim, D., & Wang, Z. (2024) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2024.100100 · Cited by 60
Metadata
- Authors
- Belanche, D., Casaló, L. V., Flavián, M., & Ibáñez-Sánchez, S.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 132
- Pages
- 186-195
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3159400715
- Cited by
- 659
- References
- 100
- FWCI
- 110.76
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 93 d)
- Funders
- Ministerio de Ciencia, Innovación y Universidades (PID2019-105468RB-I00)
- European Social Fund
- Gobierno de Aragón (2020-2024 BOA CUS/581/2020)
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- Belanche, D., Casaló, L. V., Flavián, M., & Ibáñez-Sánchez, S. (2021). Understanding influencer marketing: The role of congruence between influencers, products and consumers. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2021.03.067
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.