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Cited by 383

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Antecedents and outcomes of digital influencer endorsement: An exploratory study

Open access
Torres, Pedro, Augusto, Mário, Matos, Marta·2019·Psychology & Marketing
DOI 10.1002/mar.21274
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Abstract

The advertising and marketing literature have established that celebrity endorsements constitute an effective way to enhance attitudes toward brands and increase purchase intents. However, there are no relevant studies on digital influencers. This study addresses the research gap by examining the effect of digital influencers' attractiveness and the effect of the congruence between a digital influencer and a brand on consumer attitudes and purchase intentions. By applying structural equation modeling to a sample of 307 followers of digital influencers, a model was tested and group analysis was performed for two categories (“entertainment & video games” and “fashion & beauty”). The results show that both brand attitudes and purchase intentions are influenced by the digital influencer's attractiveness (which includes both likeability and familiarity) and by the congruence between the digital influencer and the brand. This study makes several contributions to both theory and practice, which are highlighted in this paper.

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Metadata

Authors
Torres, P., Augusto, M., & Matos, M.
Venue
Psychology & Marketing
Publisher
Wiley
Published
2019-10-17
Volume
36
Issue
12
Pages
1267-1276
ISSN
  • 0742-6046 (ISSN-L)
  • 1520-6793
DOI
10.1002/mar.21274
OpenAlex
W2980352117
Cited by
383
References
9
FWCI
44.94
Type
journal article
Language
en
Open access
green
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)

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CoChat. (2026). Citation check: Antecedents and outcomes of digital influencer endorsement: An exploratory study. https://app.cochat.ai/papers/10.1002/mar.21274
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Torres, P., Augusto, M., & Matos, M. (2019). Antecedents and outcomes of digital influencer endorsement: An exploratory study. Psychology & Marketing. https://doi.org/10.1002/mar.21274

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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.