Serving with a Smile on Airbnb : Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. Past research has explored how smiling affects business outcomes in offline or in-store contexts, yet relatively little is known about how smiling influences consumer choice in e-commerce settings. This paper explores the effect of smiling in the growing sharing economy context, specifically examining how a smile in an Airbnb host’s profile photo affects property demand. The study uses a facial attribute classifier to determine whether the host is smiling in their profile picture or not, and estimate the influence of a host smile in a longitudinal dataset of Airbnb bookings, controlling for a rich set of variables such as reviews, property characteristics, and the host’s age and gender. A smile in the host’s profile photo increases property demand by 1.9% on average. Further, gender moderates this effect, with smiling increasing demand for male hosts by 6.8%, compared to an insignificant increase for female hosts. An online experiment confirms this pattern, and explores the underlying mechanism. In particular, a moderated mediation analysis shows that smiling increases perceptions of the host’s warmth—to a greater extent for male than female hosts—which increases the likelihood of booking their property
Year of publication: |
[2021]
|
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Authors: | Zhang, Shunyuan ; Friedman, Elizabeth ; Zhang, Xupin ; Srinivasan, Kannan ; Dhar, Ravi |
Publisher: |
[S.l.] : SSRN |
Saved in:
freely available
Extent: | 1 Online-Ressource (53 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 14, 2020 erstellt |
Other identifiers: | 10.2139/ssrn.3692623 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013242749
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