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Go vegan! digital influence and social media use in the purchase intention of vegan products in the cosmetics industry.
- Source :
-
Social network analysis and mining [Soc Netw Anal Min] 2023; Vol. 13 (1), pp. 49. Date of Electronic Publication: 2023 Mar 11. - Publication Year :
- 2023
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Abstract
- Social media have expanded the exposure of vegan consumption decisions and practices through the greater reach of opinions issued digitally by individuals concerned about ethical and environmental issues. Some of these people have reached considerable numbers of followers virtually, becoming digital influencers with built-in credibility that makes them opinion leaders. Considering them, this study aims to analyze the relationship between source credibility and the social media use in the purchase intention of vegan products endorsed by digital influencers, focusing on the cosmetics industry. We used the cross-sectional survey method and adopted Structural Equation Modeling to analyze the relationships between the variables from 190 valid questionnaires. We identified that both the social media use and the source credibility influence the purchase intention of vegan cosmetic products. The ability of digital influencers to shape consumer intentions was recognized, even though the products they endorse do not represent the follower's philosophy of life-for example, a nonvegan follower who intends to consume a vegan cosmetic from the digital influencer endorsement. Furthermore, we identified that the source credibility influences the social media use that is the influencer also shapes the individual digital behavior.<br />Competing Interests: Conflict of interestThe authors declare no competing interests.<br /> (© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
Details
- Language :
- English
- ISSN :
- 1869-5450
- Volume :
- 13
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Social network analysis and mining
- Publication Type :
- Academic Journal
- Accession number :
- 36937490
- Full Text :
- https://doi.org/10.1007/s13278-023-01034-7