Abstract
The advance of technology development today brings an innovation in the financial industries all across the world, including in Indonesia. The financial technology continues to emerge from the sector of payment, investment and loans online or as we are familiar with the term P2P Lending platform. But, the growth of this business had a challenge when the Covid-19 Pandemic hit the country in the early 2020. The P2P lending platform experienced the first highest default rate due the difficulties of the SME’s as its major customers’ in repaying their loans. The objective of this research is to analyze the determinants of effectiveness repayment application on P2P platform in Indonesia. There were 133 respondents who were borrowers of the P2P lending platform was used as a sample. The data collection was further processed statistically using Structural Equation Method (SEM). The study showed that the repayment decision had significantly influenced perceived usefulness, perceived ease of use, perceived risk and information quality. Information quality itself had the highest influenced among others.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Zenodo (CERN European Organization for Nuclear Research)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.