Shunyuan Zhang, Elizabeth M. S. Friedman, Xupin Zhang, K. Srinivasan, R. Dhar
{"title":"Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile","authors":"Shunyuan Zhang, Elizabeth M. S. Friedman, Xupin Zhang, K. Srinivasan, R. Dhar","doi":"10.2139/ssrn.3692623","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":150569,"journal":{"name":"IO: Theory eJournal","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IO: Theory eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3692623","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
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.