Concealing borrowers’ failure history in online P2P lending: A natural experiment

IF 2.8 4区 管理学 Q2 MANAGEMENT DECISION SCIENCES Pub Date : 2023-03-01 DOI:10.1111/deci.12594
Jiaru Bai, Qiang Gao
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Abstract

Online peer-to-peer (P2P) platforms both disclose and conceal borrowers’ information. Minimal research has been conducted on the impact of concealing such information on borrowers’ funding success. We fill this research gap by exploring a natural experiment opportunity at Prosper, an online lending marketplace where the platform enacted a policy to conceal borrowers’ past failure history. We first find that the platform's decision to conceal such information can be rational because when this information was publicly available, borrowers with past failures had lower success rates than borrowers without past failures. We next investigate the effect of hiding this information on lenders' lending decisions. Our empirical results from a series of analyses demonstrate that concealing such information helps some borrowers but also surprisingly leads to an overall lower success rate, which ultimately harms the platform and runs counter to the platform's intention. These effects are strongest for low-risk borrowers and would attenuate in the long run. We further find that the number of borrowers’ past failures is associated with lower repayment ability.

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掩盖借款人在网络P2P借贷中的失败历史:一个自然的实验
在线点对点(P2P)平台既披露也隐藏借款人信息。关于隐藏此类信息对借款人融资成功率的影响的研究极少。我们通过探索 Prosper 的自然实验机会填补了这一研究空白,Prosper 是一个在线借贷市场,该平台制定了隐瞒借款人过去失败历史的政策。我们首先发现,该平台隐瞒这些信息的决定可能是合理的,因为当这些信息公开时,有过失败经历的借款人的成功率低于没有失败经历的借款人。接下来,我们研究了隐藏这些信息对贷款人贷款决策的影响。我们通过一系列分析得出的实证结果表明,隐藏这些信息有助于某些借款人,但也会出人意料地导致整体成功率降低,最终损害平台的利益,违背平台的初衷。这些影响对低风险借款人最为明显,从长远来看会逐渐减弱。我们进一步发现,借款人过去失败的次数与较低的还款能力有关。
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来源期刊
DECISION SCIENCES
DECISION SCIENCES MANAGEMENT-
CiteScore
12.40
自引率
1.80%
发文量
34
期刊介绍: Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.
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Issue Information IN THIS ISSUE Issue Information In this issue Explanation seeking and anomalous recommendation adherence in human-to-human versus human-to-artificial intelligence interactions
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