Judging online peer-to-peer lending behavior: A comparison of first-time and repeated borrowing requests

被引:59
作者
Cai, Shun [1 ]
Lin, Xi [1 ]
Xu, Di [1 ]
Fu, Xin [1 ]
机构
[1] Xiamen Univ, Sch Management, 422 South Siming Rd, Xiamen 361005, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Peer-to-peer lending behavior; Signaling theory; Likelihood of successful funding; SIGNALING THEORY; INFORMATION ASYMMETRY; EMBEDDEDNESS; NETWORKS; MARKET; TRUST; FIRMS;
D O I
10.1016/j.im.2016.07.006
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The past decade has witnessed a growing number of business models that facilitate economic exchanges between individuals with limited institutional mediation. One of the important innovative business models is online peer-to-peer lending, which has received wide attention from government, industry, and researchers. Using the signaling theory, we compare the effects of various signals on the likelihood of successful funding in three models (i.e., first-time borrowing, repeated borrowing without prior lending, and repeated borrowing with prior lending). Using data collected from PPDAI.com, we verify the three proposed models by employing logistic regression. Results and implications are analyzed and discussed. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:857 / 867
页数:11
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