Consumer reviews and host strategies: Managing rating biases for optimal Airbnb performance
學年 115
學期 1
出版（發表）日期 2026-08-25
作品名稱 Consumer reviews and host strategies: Managing rating biases for optimal Airbnb performance
作品名稱（其他語言）
著者 Yoo Ri Kim; Shih-Chuan Lin; I-Heng (Ray) Wu
單位
出版者
著錄名稱、卷期、頁數 Journal of Smart Tourism
摘要 This research addresses the issue of inflated ratings in the Airbnb property space, which often generates misleading consumption and performance data. We analyse how positive and negative rating deviations influence Airbnb hosts' performance metrics. Our study further investigates the moderating effects of the Superhost badge and the distinction between single- vs. multi-listing hosts. We model the London Airbnb industry between 2015 and 2021 using a two-level mixed-effect model to account for host characteristics and neighbourhood (borough-level) effects and predict the influence of online rating deviations on host performance. Empirical insights reveal that positive deviations significantly enhance host performance, particularly benefiting single listing hosts. In contrast, negative deviations detrimentally impact performance, with single listing hosts experiencing greater adverse effects. Notably, the Superhost badge amplifies the overall relationship between review deviations and host performance.
關鍵字 Airbnb;multi-listing host;online reputation;rating deviation;sharing economy;single listing host;Superhost badge
語言 en_US
ISSN
期刊性質 國外
收錄於 Scopus
產學合作
通訊作者 Yoo Ri Kim
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/129743 )