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Success Factors Influencing Peer-to-Peer Lending to Support Financial Innovation

Author

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  • Natnara Chulawate

    (Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand)

  • Supaporn Kiattisin

    (Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand)

Abstract

The purpose of this study is to identify success factors that are conducive to developing the ability to create financial innovation within developing countries for the sake of sustainability. The purpose of this research is to contribute to the identification of success factors. The case study involves a peer-to-peer lending (P2P Lending) business operator in Thailand and focuses on the lender perspective. The results consist of 13 potential factors driving financial innovation in process improvement. The study collected data from 300 respondents through a structured questionnaire. The structural equation model was used to analyze the data via Mplus version 7. In order to gain a better understanding, we emphasize that each country’s financial business may show different success factors due to different situations and environments, which might pose a challenge when drawing conclusions from the survey and building sustainability in the financial industry. The research summarizes the factors of success in 3 contexts with 13 factors; namely, the risk context consists of a higher interest rate, inflation increase, macroeconomics, regulation laws, and legal, liquidity, and finance and credit status. The trust context includes demographic characteristics, biological characteristics, and an individual’s reputational capital, and the lender perspective information context includes loan delinquencies, funded loans, politics, and culture. According to our results, the investor or lender will benefit from bringing concepts and methods that involve adopting international loans.

Suggested Citation

  • Natnara Chulawate & Supaporn Kiattisin, 2023. "Success Factors Influencing Peer-to-Peer Lending to Support Financial Innovation," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4028-:d:1077162
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    References listed on IDEAS

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    1. Ian Galloway, 2009. "Peer-to-peer lending and community development finance," Community Development Working Paper 2009-06, Federal Reserve Bank of San Francisco.
    2. Qigui Liu & Luxi Zou & Xiaolin Yang & Jinghua Tang, 2019. "Survival or die: a survival analysis on peer‐to‐peer lending platforms in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S2), pages 2105-2131, November.
    3. Xiao-hong Chen & Fu-jing Jin & Qun Zhang & Li Yang, 2016. "Are investors rational or perceptual in P2P lending?," Information Systems and e-Business Management, Springer, vol. 14(4), pages 921-944, November.
    4. Freedman, Seth & Jin, Ginger Zhe, 2017. "The information value of online social networks: Lessons from peer-to-peer lending," International Journal of Industrial Organization, Elsevier, vol. 51(C), pages 185-222.
    5. Eunjung Yeo & Jooyong Jun, 2020. "Peer-to-Peer Lending and Bank Risks: A Closer Look," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    6. Shin, Hyun Song, 2008. "Risk and liquidity in a system context," Journal of Financial Intermediation, Elsevier, vol. 17(3), pages 315-329, July.
    7. Zhu, Zongyuan, 2018. "Safety promise, moral hazard and financial supervision: Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 27(C), pages 1-5.
    8. Li, Jianwen & Hu, Jinyan, 2019. "Does university reputation matter? Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 31(C), pages 66-77.
    9. He, Qing & Li, Xiaoyang, 2020. "The failure of Chinese peer-to-peer lending platforms : Finance and politics," BOFIT Discussion Papers 27/2020, Bank of Finland, Institute for Economies in Transition.
    10. Douglas W. Diamond, 2007. "Banks and liquidity creation : a simple exposition of the Diamond-Dybvig model," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 93(Spr), pages 189-200.
    11. Ian Galloway, 2009. "Peer-to-peer lending and community development finance," Community Investments, Federal Reserve Bank of San Francisco, vol. 21(Win), pages 19-2339.
    12. Barasinska Nataliya & Schäfer Dorothea, 2014. "Is Crowdfunding Different? Evidence on the Relation between Gender and Funding Success from a German Peer-to-Peer Lending Platform," German Economic Review, De Gruyter, vol. 15(4), pages 436-452, December.
    13. Tengwen Zhang & Mingfeng Tang & Yong Lu & Dayong Dong, 2014. "Trust Building in Online Peer-to-Peer Lending," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 17(4), pages 250-266, October.
    14. Chen, Shiyi & Gu, Yan & Liu, Qingfu & Tse, Yiuman, 2020. "How do lenders evaluate borrowers in peer-to-peer lending in China?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 651-662.
    15. Agarwal, Sumit & Amromin, Gene & Ben-David, Itzhak & Chomsisengphet, Souphala & Evanoff, Douglas D., 2014. "Predatory lending and the subprime crisis," Journal of Financial Economics, Elsevier, vol. 113(1), pages 29-52.
    16. Milne, Alistair & Parboteeah, Paul, 2016. "The Business Models and Economics of Peer-to-Peer Lending," ECRI Papers 11594, Centre for European Policy Studies.
    17. J. Benson Durham, 2006. "An estimate of the inflation risk premium using a three-factor affine term structure model," Finance and Economics Discussion Series 2006-42, Board of Governors of the Federal Reserve System (U.S.).
    18. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    19. Jiang, Jinglin & Liao, Li & Wang, Zhengwei & Zhang, Xiaoyan, 2021. "Government Affiliation and Peer-To-Peer Lending Platforms in China," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 87-106.
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