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Andina Paramita Sari,Yusaq Tomo Ardianto,Dwi Arman Prasetya
Pág. 45 - 58
This study aims to identify the characteristics and influence of the Self Efficacy, Social Influence, and Performance Expectancy variables on Behavioral Intention on MSME GO Online at Ngalup.co program in Malang City by utilizing the Peer to Peer (...
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Bin Liu, Zhexi Zhang, Junchi Yan, Ning Zhang, Hongyuan Zha, Guofu Li, Yanting Li and Quan Yu
Risk control has always been a major challenge in finance. Overdue repayment is a frequently encountered discreditable behavior in online lending. Motivated by the powerful capabilities of deep neural networks, we propose a fusion deep learning approach,...
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Tianlei Pi, Yaosen Liu and Jiahui Song
Background: Online lending has developed rapidly in China in recent years, into a typical Internet financial model. China?s online lending related issues have received widespread attention from scholars. Methods: This study used 396,634 order data-points...
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Yao Wang and Zdenek Drabek
The rapid development of online lending in the past decade, while providing convenience and efficiency, also generates large hidden credit risk for the financial system. Will removing financial intermediaries really provide more efficiency to the lending...
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Alexander V. Ilyin,Vladimir D. Ilyin
Pág. 77 - 83
The review describes the updated model of the Normalized Economic Mechanism (NEM). The complexes of NEM (resource support; production of real commodities; trade of real commodities; stockpiling of vital commodities; investment; the state budget, reserves...
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