How Ratings Shape the Supply on Sharing Economy Platforms: A Longitudinal Cohort Study on Listing Survival on Airbnb

被引：0

作者：

Kolleck, Aaron S. ^{[1
,2
]}

Teubner, Timm ^{[1
,3
,4
]}

机构：

[1] Tech Univ Berlin, INET EN17,Einsteinufer 17, D-10587 Berlin, Germany

[2] Weizenbaum Inst Networked Soc, Berlin, Germany

[3] Chair Trust Digital Serv, Bremen, Germany

[4] Einstein Ctr Digital Future, Berlin, Germany

来源：

INFORMATION SYSTEMS MANAGEMENT | 2024年

关键词：

Sharing economy; digital platform; reputation system; cohort study; Airbnb; WORD-OF-MOUTH; PRICE PREMIUMS; MORAL HAZARD; TRUST; REPUTATION; RISK; TECHNOLOGY; INSURANCE; INTENTION; MARKETS;

D O I：

10.1080/10580530.2024.2339234

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Customer reviews on sharing economy platforms like Airbnb have been studied extensively. However, their effectiveness has recently been questioned. We investigate their role regarding listing churn on Airbnb using panel data. We find that listings with few or poor ratings will likely leave the platform. Correcting for the listings' characteristics, we find that the best possible rating strongly predicts the listings' success. We conclude that the best rating is a necessary but insufficient condition for success.

引用

页数：17