Abstract
Consumers seek naturalness across many domains, including physical appearance. It seems that the desire for natural beauty would discourage artificial appearance-enhancement consumption, such as cosmetic use. However, across an analysis of the “no-makeup movement” on Twitter and Nielsen cosmetic sales (Study 1a), an image analysis of #nomakeup selfies using machine learning approaches (Study 1b), and three experiments (Studies 2–4), we find that calls to look natural can be associated with increased artificial beauty practices. Drawing from attribution theory, we theorize that calls to look natural maintain the value of attractiveness while adding the consumer concern that others will discount their attractiveness if overt effort is present. Thus, rather than investing less effort, consumers may engage in a self-presentational strategy wherein they construct an appearance of naturalness to signal low effort to others, thereby augmenting their attractiveness. This work contributes to attribution and self-presentation theory and offers practical implications for naturalness consumption.
Original language | English (US) |
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Pages (from-to) | 324-337 |
Number of pages | 14 |
Journal | Journal of the Academy of Marketing Science |
Volume | 50 |
Issue number | 2 |
DOIs | |
State | Published - Mar 2022 |
Externally published | Yes |
Keywords
- Attribution
- Beauty
- Effort
- Image analysis
- Multimethod
- Naturalness
- Social media
ASJC Scopus subject areas
- Business and International Management
- Economics and Econometrics
- Marketing