Unrequited love? : A mixed-methods study of parasocial engagement with social media influencers
Abstract
Companies increasingly use social media influencers to engage with consumers and to promote their products. However, despite growing research interest in these parasocial relationships, the nature of parasocial engagement has not yet been comprehensively conceptualized. This study integrated previous studies within a parasocial engagement framework with three dimensions: cognitive processing, affection, and behavior. It used a mixed-methods approach: a meta-analysis of 117 studies with a total of 47,647 respondents and an exploratory qualitative study of 25 interviews. Current accounts of parasocial engagement were extended by identifying influencer characteristics (i.e., expertise, trustworthiness, social attractiveness, physical attractiveness, and congruence) as key elements of the construct. The study findings confirmed that the dimensions of parasocial engagement are collectively related to brand associations and purchase intentions, and that the impact of parasocial engagement on purchase intention is dependent on the product characteristics (i.e., involvement and purchase frequency) and the content type (i.e., picture vs. video). Theoretical and managerial implications of these findings are discussed, and an agenda for future research is proposed.
Main Authors
Format
Articles
Research article
Published
2025
Series
Subjects
Publication in research information system
Publisher
Elsevier
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202410246530Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
0268-4012
DOI
https://doi.org/10.1016/j.ijinfomgt.2024.102845
Language
English
Published in
International Journal of Information Management
Citation
- Tyrväinen, O., & Karjaluoto, H. (2025). Unrequited love? : A mixed-methods study of parasocial engagement with social media influencers. International Journal of Information Management, 80, Article 102845. https://doi.org/10.1016/j.ijinfomgt.2024.102845
Copyright© 2024 The Author(s). Published by Elsevier Ltd.