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http://dx.doi.org/10.13106/jafeb.2021.vol8.no10.0129

Determinants of Accessibility to Fintech Lending: A Case Study of Micro and Small Enterprises (MSEs) in Indonesia  

SAPTIA, Yeni (The Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI))
NUGROHO, Agus Eko (The Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI))
SOEKARNI, Muhammad (The Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI))
ERMAWATI, Tuti (The Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI))
SYAMSULBAHRI, Darwin (The Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI))
ASTUTY, Ernany Dwi (The Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI))
SUARDI, Ikval (The Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI))
YULIANA, Retno Rizki Dini (The Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI))
Publication Information
The Journal of Asian Finance, Economics and Business / v.8, no.10, 2021 , pp. 129-138 More about this Journal
Abstract
Several studies have revealed that information on borrower characteristics plays an important factor in approving their credit requests. Though the extent to which such characteritics are also applicable to the case of fintech lending remain uncertain. The aim of this study is, thus, to investigate the determinant factors that influence MSEs in obtaining credit through fintech lending. Here, we emphasize virtual trust in fintech lending encompasing the dimension of social network, economic attributes, and risk perception based on several indicators that are used as proxies. Primary data used in the study was gathered from an online survey to the respondents of MSEs in Java. The result of the study indicates that determinants of MSEs in obtaining credit from lender through fintech lending are statistically influenced by internet usage activities, borrowing history, loan utilization, annuity payment system, completeness of credit requirement documents and compatibility of loan size with the business need. These factors have a significant effect on credit approval because they can generate virtual trust of fintech lender to MSEs as potential borrowers. It concludes that the probability of obtaining fintech loans in accordance with their expectations are influenced by the dimensions of social network, economic attributes and risk perception.
Keywords
Fintech Lending; MSEs; Trust; Credit Access; Credit Risk;
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