| P2P investors make investment decisions based on the multi-dimensional data disclosed by the platform.Due to the inforamation asymmetry,the overall risk of the industry is high and the transparency is low.As investors are predominanant participants in the business model of P2P transaction,it is necessary to study the influencing factors of decision-making behaviors of investors' platforms based on multi-dimensional data.This research divides platform decision-making behaviors of P2P investors into two parts,namely,platform evaluation and platform loan providing.To clarify at the beginning,the research focuses on the management perspective,and discards considering the platform computer building related with technical issues.The first part is based on the multi-dimensional operation data of P2P platforms available to general investors online,by using AHP-fuzzy comprehensive evaluation method to construct the comprehensive strength evaluation model of the P2P platform,then chooses a P2P platform to substitute into the model for case study.The second part establishes the research framework of influencing factors of investors' platform loan providing behaviors according to social cognitive theory,and conduct an empirical study with constructing a linear regression model based on the multi-dimensional data of real transactions of one P2P platform.The main conclusions are as follows:(1)Financial risk of P2P platform is the key factor affecting its comprehensive strength,and maintaining positive capital inflow is the guarantee of financial r-isk control.(2)Investors prefer targets with short borrowing cycle and large number of bidders,and borrowers with high credit rating,young age and mobile phone certification.(3)Compared with the favorable information of borrowers as"successful borrowing" or "successful repayment",investors are more concerned about the unfavorable information which may cause risks such as"overdue repayment". |
PDF Full Text Request