摘要
论文在文献研究的基础上,结合社会认知理论建构P2P网贷平台声誉风险管理理论模型,运用结构方程模型对P2P网贷平台声誉风险管理的作用路径进行实证分析。研究结果表明:金融监管对计算机自我效能、P2P网贷平台信息披露和风险管理架构的影响显著;信息披露与P2P网贷平台声誉风险管理存在显著的正相关性;计算机自我效能与P2P网贷平台声誉风险管理无显著相关性。
On the basis of literature research as well as social cognitive theory, the P2P network lending reputation risk management model is constructed. After identifying the key factors influencing reputation risk management of online P2P lending business, the author uses structural equation modeling to perform hypothesis testing and path analysis of reputation risk management’s effects. Results shows ’financial supervision’ has significant effect on ’computer self-efficacy’, ’information disclosure’ and ’risk management framework’. There is a significant positive correlation between ’information disclosure’ and ’reputation risk management’, while there is no significant correlation between ’Computer self-efficacy’ and ’reputation risk management’.
作者
杨峥嵘
江禹杰
Yang Zhengrong;Jiang Yujie(School of Finance and Business,ZhenJiang College,Zhenjiang 212028;School of Political Science and Public Administration,Soochow University,Suzhou 215123)
出处
《江苏商论》
2020年第8期33-36,共4页
Jiangsu Commercial Forum
关键词
P2P网贷平台
声誉风险管理
社会认知
结构方程模型
Online P2P lending
Reputation risk management
Social cognition theory
Structural equation modeling