Success factors for peer-to-peer lending for SMEs: Evidence from Indonesia
-
DOIhttp://dx.doi.org/10.21511/imfi.20(2).2023.02
-
Article InfoVolume 20 2023, Issue #2, pp. 16-25
- Cited by
- 1201 Views
-
433 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Sharia fintech lending grew up at the teenage stage and has successfully taken a strategic place in the Indonesian loan market. Adopting the economics of information and signaling theory, this paper investigates the probability of successful crowdfunding. Using cross-section data, this study analyzes 1,153 funded projects on Ammana.id platform, a well-known Indonesia’s sharia P2P lending. This study runs OLS regressions to examine the effect of loan information (ranking, estimated profit shares, and financing duration) on the amount of crowded funding. This finding support both theories, that the information about the loan is a signal in determining the success of project funding. Ranking and duration of financing significantly affect the success of the P2P sharia lending platform, nevertheless profit share estimation is not significant. Loans that operated in short, tend to raise more funding, and vice versa. Loan ranking can provide the lender with instant information about the borrowers’ condition. Lenders tend to avoid low rankings loans due to the potential failure of loan payments. This study also found a surprising result that the coefficient of profit sharing is positive for Islamic funding but insignificant. This result shows that material gain is not the main issue for investors, but the elements of trust and justice are nobler according to Islamic beliefs. This study proves that loan information as a low-cost signal can be used by investors to make the best decision and reduce adverse selection problems. The findings support the strategic growth of Islamic platforms to build a sustainable Islamic investment and maintain financial stability.
Acknowledgments
Appreciation is given to the General Directorate of Higher Education, Research and Technology, Ministry of Education, Culture, Research and Technology, and the Institute for Research and Community Service of Universitas Islam Nahdlatul Ulama (Unisnu) Jepara, Indonesia.
- Keywords
-
JEL Classification (Paper profile tab)G21, G23
-
References44
-
Tables3
-
Figures0
-
- Table 1. Descriptive statistics
- Table 2. Classical assumption testing results
- Table 3. OLS regression results
-
- Abidat, A. H., Handayani, P. W., & Azzahro, F. (2019). Analysis of Factors Affecting People’s Intentions in Investing Through Sharia Peer-To-Peer Lending. International Conference on Information Management and Technology (ICIMTech), 224-229.
- Akerlof, G. A. (1970). The market for “lemons”: Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84(3), 488-500.
- Ammana.id. (2022). Pembiayaan Syariah Cepat (PESAT). Ammana.Id.
- Atif, M., Hassan, M. K., Rabbani, M. R., & Khan, S. (2021). Islamic FinTech: The digital transformation bringing sustainability to Islamic finance. In COVID-19 and Islamic Social Finance (pp. 91-103). Routledge.
- Barkley, B., & Schweitzer, M. E. (2020). The Rise of Fintech Lending to Small Businesses: Businesses’ Perspectives on Borrowing (FRB of Cleveland Working Paper No. 20-11).
- Baruna, S. S. A., Dalimunthe, Z., & Triono, R. A. (2023). Factors Affecting Investor Switching Intention to Fintech Peer-To-Peer Lending. ICBT 2021: Sustainable Finance, Digitalization and the Role of Technology, 63-73.
- Beekun, R. I. (1997). Islamic Business Ethics: Human Development Series No. 2. The International Institute of Islamic Thought.
- Cai, S., Lin, X., Xu, D., & Fu, X. (2016). Judging online peer-to-peer lending behavior: A comparison of first-time and repeated borrowing requests. Information & Management, 53(7), 857-867.
- Dharmastuti, C. F., & Laurentxius, J. (2021). Factors and Benefits that Affect Lender’s Interest in Giving Loans in Peer to Peer (P2P) Lending Platform. Binus Business Review, 12(2), 121-130.
- Emekter, R., Tu, Y., Jirasakuldech, B., & Lu, M. (2015). Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending. Applied Economics, 47(1), 54-70.
- Fama, E. F. (1998). Market efficiency, long-term returns, and behavioral finance. Journal of Financial Economics, 49(3), 283-306.
- Fenwick, M., McCahery, J. A., & Vermeulen, E. P. M. (2018). Fintech and the financing of SMEs and entrepreneurs: From crowdfunding to marketplace lending. The Economics of Crowdfunding: Startups, Portals and Investor Behavior, 103-129.
- Goldman, A., & Johansson, J. K. (1978). Determinants of search for lower prices: An empirical assessment of the economics of information theory. Journal of Consumer Research, 5(3), 176-186.
- Herzenstein, M., Sonenshein, S., & Dholakia, U. M. (2011). Tell me a good story and I may lend you money: The role of narratives in peer-to-peer lending decisions. Journal of Marketing Research, 48(SPL), S138-S149.
- Huang, J., Sena, V., Lia, J., & Ozdemir, S. (2021). Message framing in P2P lending relationships. Journal of Business Research, 122, 761-773.
- Ichwan, I., & Kasri, R. A. (2019). Why are youth intent on investing through peer to peer lending? Evidence from Indonesia. Journal of Islamic Monetary Economics and Finance, 5(4), 741-762.
- Khan, M. T. I., & Xuan, Y. Y. (2022). Drivers of lending decision in peer-to-peer lending in Malaysia. Review of Behavioral Finance, 14(3), 379-393.
- Klafft, M. (2008). Peer to Peer Lending: Auctioning Microcredits over the Internet (Proceedings of the International Conference on Information Systems, Technology and Management, A. Agarwal, R. Khurana, Eds., IMT, Dubai). SSRN.
- Kohardinata, C., Soewarno, N., & Tjahjadi, B. (2020). Indonesian Peer to Peer Lending (P2P) at Entrant’s Disruptive Trajectory. Business: Theory and Practice, 21(1), 104-114.
- Lin, M., Prabhala, N. R., & Viswanathan, S. (2013). Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending. Management Science, 59(1), 17-35.
- Muneeza, A., & Mustapha, Z. (2021). Islamic FinTech and Financial Inclusion. In Islamic FinTech (pp. 173-190). Palgrave Macmillan.
- Muryanto, Y. T., Kharisma, D. B., & Nugraheni, A. S. C. (2022). Prospects and challenges of Islamic fintech in Indonesia: a legal viewpoint. International Journal of Law and Management, 64(2), 239-252.
- Nowak, A., Ross, A., & Yencha, C. (2018). Small business borrowing and peer-to-peer lending: Evidence from lending club. Contemporary Economic Policy, 36(2), 318-336.
- Otoritas Jasa Keuangan (OJK). (2022). Penyelenggara Fintech Lending Berizin di OJK per 22 April 2022.
- Pohan, N. W. A., Budi, I., & Suryono, R. R. (2020). Borrower Sentiment on P2P Lending in Indonesia Based on Google Playstore Reviews. Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019), 17-23.
- Puro, L., E.Teich, J., Wallenius, H., & Wallenius, J. (2010). Borrower Decision Aid for people-to-people lending. Decision Support Systems, 49(1), 52-60.
- Puteri, F. S., Handayani, P. W., Azzahro, F., & Pinem, A. A. (2018). Analysis of Investor Intention to Invest Capital in Small and Medium Enterprises Through Peer-to-Peer Lending in Indonesia. International Conference on Computing, Engineering, and Design (ICCED), 87-92.
- Rahman, A. R. A. (2010). Islamic microfinance: an ethical alternative to poverty alleviation. Humanomics, 26(4), 284-295.
- Rosavina, M., Rahadi, R. A., Kitri, M. L., Nuraeni, S., & Mayangsari, L. (2019). P2P lending adoption by SMEs in Indonesia. Qualitative Research in Financial Markets, 11(2), 260-279.
- Santoso, W., Trinugroho, I., & Risfandy, T. (2019). What Determine Loan Rate and Default Status in Financial Technology Online Direct Lending? Evidence from Indonesia. Emerging Markets Finance and Trade, 56(2), 1-19.
- Serrano-Cinca, Carlos, B. G.-N., & López-Palacios, L. (2015). Determinants of default in P2P lending. PloS One, 10(10), 1-22.
- Sheng, T. (2021). The Effect of Fintech on Banks’ Credit Provision to SMEs: Evidence from China. Finance Research Letters, 39, 101558.
- Spence, M. (1978). Job market signaling. Quarterly Journal of Economics, 87(3), 355-374.
- Stigler, G. J. (1961). The economics of information. Journal of Political Economy, 69(3), 213-225.
- Suryono, R. R., Budi, I., & Purwandari, B. (2021). Detection of Fintech P2P Lending Issues in Indonesia. Heliyon, 7, e06782.
- Tambunan, T., Santoso, W., Busnet, I., & Batunanggar, S. (2021). The development of MSMEs and the growth of peer-to-peer (P2P) lending in Indonesia. International Journal of Innovation, Creativity and Change, 15(2), 585-611.
- Thaker, M. A. B. M. T., Thaker, H. B. M. T., Rahman, M. P. B., Amin, M. F. Bin, Pitchay, A. B. A., & Olaniyi, N. O. (2019). Factors Affecting Investors’ Intention to Invest in Peer-to-Peer Lending Platform in Malaysia: An Extended Technology Acceptance Model (No. 998; ADBI Working Paper Series).
- Thakor, A. V. (2020). Fintech and Banking: What Do We Know? Journal of Financial Intermediation, 41(January), 100833.
- Wang, H., Kou, G., & Peng, Y. (2020). Multi-class Misclassification Cost Matrix for Credit Ratings in Peer-to-Peer Lending. Journal of the Operational Research Society, 0(0), 1-12.
- Yan, J., Yu, W., & Zhao, J. L. (2015). How signaling and search costs affect information asymmetry in P2P lending: the economics of big data. Financial Innovation, 1(1), 1-11.
- Yan, Y., Lv, Z., & Hu, B. (2018). Building investor trust in the P2P lending platform with a focus on Chinese P2P lending platforms. Electronic Commerce Research, 18(2), 203-224.
- Yang, M., Li, H., Shao, Z., & Shang, W. (2017). Influencing lenders’ repeat investment intention in P2P lending platforms in China through signaling. PACIS 2017 Proceedings, 1-16.
- Yang, Q., & Lee, Y.-C. (2016). Influencing factors on the lending intention of online peer-to-peer lending: Lessons from Renrendai.com. The Journal of Information Systems, 25(2), 79-110.
- Zhang, Y., Li, H., Hai, M., Li, J., & Li, A. (2017). Determinants of loan funded successful in online P2P Lending. Procedia Computer Science, 122, 896-901.