Identifying local bias on peer-to-peer rental platforms

被引：19
作者：
Zhang, Xiaoxia [1 ]
Zhang, Xi [1 ]
Law, Rob [2 ,3 ]
Liang, Sai [4 ]
机构：
[1] Tianjin Univ, Coll Management & Econ, 92 Weijin St, Tianjin, Peoples R China
[2] Univ Macau, Fac Business Adm, Dept Integrated Resort & Tourism Management, Macau, Peoples R China
[3] Univ Macau, Fac Business Adm, Asia Pacific Acad Econ & Management, Macau, Peoples R China
[4] Nankai Univ, Coll Tourism & Serv Management, 38 Tongyan Rd, Tianjin, Peoples R China
来源：
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT | 2021年 / 99卷
基金：
中国国家自然科学基金; 中国博士后科学基金; 国家教育部科学基金资助;
关键词：
Local bias; Information asymmetry; Peer-to-peer rental platform; Airbnb; VALUE CO-CREATION; AIRBNB; PRICE; QUALITY; SATISFACTION; IMPACT; ATTRIBUTES; BOOKING; MODEL; TRUST;
D O I：
10.1016/j.ijhm.2021.103072
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Prior studies have documented local bias in online product and online crowdfunding markets. By collecting a unique longitudinal dataset covering 91,693 Airbnb properties, we find evidence that local bias also exists in peer-to-peer rental platforms. We also prove that local bias has a negative consequence on guest satisfaction and property reputation. In addition, a focus on moderating effects reveals that (a) local bias is less prominent in properties with high prices, and (b) uploading detailed host descriptions can suppress the appearance of local bias and reduce its negative consequences on the online ratings of properties. Therefore, information asymmetry at least partially drives this phenomenon. The findings contribute to the literature and platforms in practice.
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页数：11
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