杠杆(统计)
服装
人气
心理学
产品(数学)
集合(抽象数据类型)
营销
业务
广告
社会心理学
计算机科学
几何学
数学
考古
机器学习
历史
程序设计语言
作者
Shuai Yang,Guiyang Xiong,Huifang Mao,Minghui Ma
标识
DOI:10.1177/00222437231154871
摘要
An emerging virtual-reality technology, virtual fitting rooms (VFRs) allow online shoppers to virtually try on clothes. Despite its increasing popularity, how VFR technology influences different consumer groups is hitherto unknown. Neglecting such nuances may significantly undermine VFR effectiveness. From a large-scale field experiment with real-world transactional data and five laboratory experiments, the authors document the asymmetric effects of VFR use conditional on consumer body types, characterize the theoretical underpinnings, and identify a systematic set of managerially actionable moderators that can mitigate adverse effects. Specifically, while VFR use enhances product evaluations and purchases among consumers with relatively low body mass index (BMI) levels, it negatively influences responses from high-BMI consumers due to self-image threat induced by avatars that resemble consumers’ own bodies. To cope with self-image threat, high-BMI consumers tend to shift the blame to the apparel item, resulting in negative product responses. The authors identify four feasible solutions to alleviate the negative responses among high-BMI users of VFRs, namely, promoting diversified beauty standards, featuring mannequin faces for VFR avatars, providing consumers opportunities to engage in prosocial behavior, and presenting high-status products. These findings offer guidance for retailers to leverage this new technology smartly to enhance both business performance and consumer well-being.
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