UNRAVELLING P2P PLATFORM FAILURES: A SYSTEMATIC LITERATURE REVIEW OF KEY DETERMINANTS
Abstract
The rapid rise of Peer-to-Peer (P2P) lending platforms has redefined access to credit, connecting borrowers and lenders through innovative digital solutions. Yet, despite their global expansion, these platforms face mounting challenges, with failures becoming increasingly prevalent. This study delves into the critical factors driving P2P platform failures through a systematic literature review of 23 studies published in Scopus between 2014 and 2024. The research identifies financial, operational, and environmental determinants, further categorized into internal and external factors, using a structured review protocol. The study concludes that platform failures arise from a complex interplay of factors, necessitating holistic strategies to enhance resilience, improve transparency, and align operational practices with evolving regulatory frameworks. By offering actionable insights, this review aims to guide policymakers, platform operators, and researchers in addressing vulnerabilities and ensuring the sustainable growth of P2P lending ecosystems.
References
Deng, J. (2022). The crowding-out effect of formal finance on the P2P lending market: An explanation for the failure of China’s P2P lending industry. Finan. Res. Lett., 45(PG-). https://doi.org/10.1016/j.frl.2021.102167
Judge, K. (2015). The Future of Direct Finance: The Diverging Paths of Peer-to-Peer Lending and Kickstarter. Wake Forest L. Rev., 50, 603. https://scholarship.law.columbia.edu/faculty_scholarship/1093
CCAF. (2020). Cambridge Alternative Finance Benchmarks. Retrieved from https://ccaf.io/cafb/
Nemoto, N., Huang, B., & Storey, D. (2019). Optimal Regulation of P2P Lending for Small and Medium-Sized Enterprises. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3313999
Global Market Insights (2024). Peer to Peer Lending Market Report. Retrieved from https://www.gminsights.com/industry-analysis/peer-to-peer-lending-market
Lu, L. (2024). Global fintech revolution: Practice, policy, and regulation. In Global Fintech Revolution: Practice, Policy, and Regulation. Director of LLM Law, Technology Programme at the King’s College London, United Kingdom: Oxford University Press. https://doi.org/10.1093/9780191884597.001.0001
Puspadini, M. (2024). Kronologi Investree Pailit hingga Eks CEO Diburu ke Luar Negeri. Retrieved December 27, 2024, from CNBC Indonesia website: https://www.cnbcindonesia.com/market/20241023061130-17-582224/kronologi-investree-pailit-hingga-eks-ceo-diburu-ke-luar-negeri
Saputra, F. (2024a). Industri Fintech Lending Catat Rugi Rp 27,30 Miliar pada Maret 2024. Retrieved December 27, 2024, from Keuangan Kontan website: https://keuangan.kontan.co.id/news/industri-fintech-lending-catat-rugi-rp-2730-miliar-pada-maret-2024
Saputra, F. (2024b). Masalah Tak Kunjung Usai, Pionir Fintech P2P Lending Investree Akhirnya Runtuh. Retrieved December 27, 2024, from Keuangan Kontan website: https://keuangan.kontan.co.id/news/masalah-tak-kunjung-usai-pionir-fintech-p2p-lending-investree-akhirnya-runtuh
Cummins, M., Lynn, T., Mac an Bhaird, C., & Rosati, P. (2019). Addressing Information Asymmetries in Online Peer-to-Peer Lending. In Palgrave Studies in Digital Business and Enabling Technologies (pp. 15–31). DCU Business School, Dublin City University, Dublin, Ireland: Palgrave Macmillan. https://doi.org/10.1007/978-3-030-02330-0_2
Riggins, F. J., & Weber, D. M. (2017). Information asymmetries and identification bias in P2P social microlending. Information Technology for Development, 23(1), 107–126. https://doi.org/10.1080/02681102.2016.1247345
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), 19. https://doi.org/10.1186/s40854-015-0018-1
Mammadova, L. (2020). Peer-to-Peer (P2P) Lending: default, default dependency and industry potential. Loughborough University. https://doi.org/10.26174/thesis.lboro.14544420.v1
Yoon, Y., Li, Y., & Feng, Y. (2019). Factors affecting platform default risk in online peer-to-peer (P2P) lending business: an empirical study using Chinese online P2P platform data. Electronic Commerce Research, 19(1), 131–158. https://doi.org/10.1007/s10660-018-9291-1
Ge, R., Feng, J., Gu, B., & Zhang, P. (2017). Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending. Journal of Management Information Systems, 34(2), 401–424. https://doi.org/10.1080/07421222.2017.1334472
Jin, Y., & Zhu, Y. (2015). A Data-Driven Approach to Predict Default Risk of Loan for Online Peer-to-Peer (P2P) Lending. 2015 Fifth International Conference on Communication Systems and Network Technologies, 609–613. https://doi.org/10.1109/CSNT.2015.25
Setiawan, N. (2019). A comparison of prediction methods for credit default on peer to peer lending using machine learning. In B. W. (Ed.), Procedia Computer Science (Vol. 157, pp. 38–45). Computer Science Department, Binus Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia: Elsevier B.V. https://doi.org/10.1016/j.procs.2019.08.139
Aimlay. (2023). Know the Difference between Literature Review, Systematic Review and Meta-Analysis. Retrieved December 28, 2024, from LinkedIn website: https://www.linkedin.com/pulse/know-difference-between-literature-review-systematic-meta-analysis/
Callahan, J. L. (2014). Writing Literature Reviews: A Reprise and Update. Human Resource Development Review, 13(3), 271–275. https://doi.org/10.1177/1534484314536705
Normand, S.-L. T. (1999). Meta-analysis: formulating, evaluating, combining, and reporting. Statistics in Medicine, 18(3), 321–359. https://doi.org/https://doi.org/10.1002/(SICI)1097-0258(19990215)18:3<321::AID-SIM28>3.0.CO;2-P
Pigott, T. D., & Polanin, J. R. (2019). Methodological Guidance Paper: High-Quality Meta-Analysis in a Systematic Review. Review of Educational Research, 90(1), 24–46. https://doi.org/10.3102/0034654319877153
Davies, D., & Dodd, J. (2002). Qualitative research and the question of rigor. Qualitative Health Research, 12(2), 279–289. https://doi.org/10.1177/104973230201200211
Okoli, C., & Schabram, K. (2015). A guide to conducting a systematic literature review of information systems research. https://doi.org/10.2139/ssrn.1954824
Templier, M., & Paré, G. (2015). A Framework for Guiding and Evaluating Literature Reviews Authors. Communications of the Association for Information Systems, 37(1), pp-pp. https://doi.org/10.17705/1CAIS.03706
Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18(1), 143. https://doi.org/10.1186/s12874-018-0611-x
Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004), 1–26. https://www.inf.ufsc.br/~aldo.vw/kitchenham.pdf
Kim, D. (2021). Empirical evidence of faulty credit scoring and business failure in P2P lending. Glob. Bus. Finance Rev., 26(2 PG-67–82), 67–82. https://doi.org/10.17549/gbfr.2021.26.2.67
Gao, M., Yen, J., & Liu, M. (2021). Determinants of defaults on P2P lending platforms in China. International Review of Economics & Finance, 72(PG-334-348), 334–348. https://doi.org/10.1016/j.iref.2020.11.012
Gao, Y., Yu, S.-H., Chen, M., & Shiue, Y.-C. (2020). A 2020 perspective on “The performance of the P2P finance industry in China.” Elect. Commer. Res. Appl., 40(PG-). https://doi.org/10.1016/j.elerap.2020.100940
He, Q., & Li, X. (2021). The failure of Chinese peer-to-peer lending platforms: Finance and politics. J. Corp. Financ., 66(PG-). https://doi.org/10.1016/j.jcorpfin.2020.101852
Huang, R H. (2018). Online P2P Lending and Regulatory Responses in China: Opportunities and Challenges. Eur. Bus. Org. Law Rev., 19(1 PG-63–92), 63–92. https://doi.org/10.1007/s40804-018-0100-z
Jiang, J., Liao, L., Wang, Z., & Zhang, X. (2021). Government Affiliation and Peer-To-Peer Lending Platforms in China. J. Empir. Financ., 62(PG-87-106), 87–106. https://doi.org/10.1016/j.jempfin.2021.02.004
Li, J., Hsu, S., Chen, Z., & Chen, Y. (2016). Risks of P2P Lending Platforms in China: Modeling Failure Using a Cox Hazard Model. The Chinese Economy, 49(3 PG-161–172), 161–172. https://doi.org/10.1080/10971475.2016.1159904
Li, X., & Hasan, I. (2021). VC Participation and failure of startups: Evidence from P2P lending platforms in China. Finan. Res. Lett., 40(PG-). https://doi.org/10.1016/j.frl.2020.101726
Yeh, J.-Y., Chiu, H.-Y., & Huang, J.-H. (2024). Predicting failure of P2P lending platforms through machine learning: The case in China. Finan. Res. Lett., 59(PG-). https://doi.org/10.1016/j.frl.2023.104784
Katsamakas, E., & Sanchez-Cartas, J. M. (2024). A computational model of the effects of borrower default on the stability of P2P lending platforms. Eurasian Econ. Rev., 14(3 PG-597–618), 597–618. https://doi.org/10.1007/s40822-024-00280-0
Ramdhan, N., Bujang, I., Muhamat, A. A., & Kesumaningrum, N. D. (2024). Thriving in Turbulent Times: The Dynamic Link Between Economic Condition and FinTech Business Lending Success. ASEAN J. Sci. Technol. Dev., 41(1 PG-110–115), 110–115. https://doi.org/10.61931/2224-9028.1575
Yu, T., & Shen, W. (2019). Funds sharing regulation in the context of the sharing economy: Understanding the logic of China’s P2P lending regulation. Comput Law Secur. Rev., 35(1 PG-42–58), 42–58. https://doi.org/10.1016/j.clsr.2018.10.001
Serrano-Cinca, C., Gutiérrez-Nieto, B., & López-Palacios, L. (2015). Determinants of default in P2P lending. PLoS ONE, 10(10 PG-). https://doi.org/10.1371/journal.pone.0139427
Wang, J., & Li, R. (2023). Asymmetric information in peer-to-peer lending: empirical evidence from China. Finan. Res. Lett., 51(PG-). https://doi.org/10.1016/j.frl.2022.103452
Ye, R., & Lin, Y. (2023). Relationship Between Interest Rate and Risk of P2P Lending in China Based on the Skew-Normal Panel Data Model. SAGE Open, 13(4 PG-). https://doi.org/10.1177/21582440231201378
Sulastri, R., & Janssen, M. (2023). Challenges in designing an inclusive Peer-to-peer (P2P) lending system. ACM Int. Conf. Proc. Ser., (PG-55-65), 55–65. Association for Computing Machinery. https://doi.org/10.1145/3598469.3598475
Wang, C., Zhang, Y., Zhang, W., & Gong, X. (2021). Textual sentiment of comments and collapse of P2P platforms: Evidence from China’s P2P market. Res. Int. Bus. Financ., 58(PG-). https://doi.org/10.1016/j.ribaf.2021.101448
Hasan, I., He, Q., & Lu, H. (2020). The impact of social capital on economic attitudes and outcomes. J. Int. Money Financ., 108(PG-). https://doi.org/10.1016/j.jimonfin.2020.102162
Liu, Yidi, Li, X., & Zheng, Z. (Eric). (2024). Consequences of China’s 2018 Online Lending Regulation and the Promise of PolicyTech. Information Systems Research, 35(3), 1235–1256. https://doi.org/10.1287/isre.2021.0580
Muhammad, R., Fakhrunnas, F., & Hanun, A. K. (2021). The Determinants of Potential Failure of Islamic Peer-to-Peer Lending: Perceptions of Stakeholders in Indonesia. J. Asian Financ. Econ. Bus., 8(2 PG-981–992), 981–992. https://doi.org/10.13106/jafeb.2021.vol8.no2.0981
Xu, Q., Liu, C., Luo, J., & Liu, F. (2024). Using machine learning to investigate the determinants of loan default in P2P lending: Are there differences between before and during COVID-19? Pac. Basin Financ. J., 88(PG-). https://doi.org/10.1016/j.pacfin.2024.102550
Zhang, Y., Du, Y., & Li, Y. (2023). Entertainment apps, limited attention and investment performance. Front. Psychol., 14(PG-). https://doi.org/10.3389/fpsyg.2023.1118797
Barney, J. (2001). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of Management, 27(6), 643–650. https://doi.org/10.1177/014920630102700602
Westhead, P., Wright, M., & Ucbasaran, D. (2001). The internationalization of new and small firms: A resource-based view. Journal of Business Venturing, 16(4), 333–358. https://doi.org/10.1016/S0883-9026(99)00063-4
Hendrawan, M. H., Defung, F., & Wardhani, W. (2023). Un/desired impact of capital buffers: Evidence from Indonesian bank profitability and risk-taking. Cogent Economics & Finance, 11(2), 2245217. https://doi.org/10.1080/23322039.2023.2245217
Scott, J. H. (1976). A Theory of Optimal Capital Structure. The Bell Journal of Economics, 7(1), 33–54. https://doi.org/10.2307/3003189
Faia, E., Paiella, M., & Britain), C. for E. P. R. (Great. (2017). P2P Lending: Information Externalities, Social Networks and Loans’ Substitution. Centre for Economic Policy Research. Retrieved from https://books.google.co.id/books?id=1T1-0AEACAAJ
Vassalou, M., & Xing, Y. (2004). Default risk in equity returns. The Journal of Finance, 59(2), 831–868. https://doi.org/10.1111/j.1540-6261.2004.00650.x
Berry, S., Gaynor, M., & Scott Morton, F. (2019). Do Increasing Markups Matter? Lessons from Empirical Industrial Organization. Journal of Economic Perspectives, 33(3), 44–68. https://doi.org/10.1257/jep.33.3.44
Aleksandrova, Y., & Parusheva, S. (2021). Optimizing financial results for credit risk prediction in peer to peer lending platforms using machine learning. Proceedings - 2021 IEEE 10th International Conference on Intelligent Computing and Information Systems, ICICIS 2021, 369–374. University of Economics - Varna, Department of Computer Science, Varna, Bulgaria: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICICIS52592.2021.9694123
Cheng, Y.-C., Chang, H.-T., Lin, C.-Y., & Chang, H.-Y. (2021). Predicting Credit Risk in Peer-to-Peer Lending: A Machine Learning Approach with Few Features. Proceedings - 2021 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2021, 295–300. Yuan Ze University, Department of Computer Science and Engineering, Taiwan: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/TAAI54685.2021.00064
Liu, Y, Baals, L. J., Osterrieder, J., & Hadji-Misheva, B. (2024). Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning. Expert Systems with Applications, 252. https://doi.org/10.1016/j.eswa.2024.124100
Chen, S.-F., Chakraborty, G., & Li, L.-H. (2019). Feature Selection on Credit Risk Prediction for Peer-to-Peer Lending. In K. K., S. M., M. K., & S. K. (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 11717 LNAI (pp. 5–18). Graduate School of Software and Information Science, Iwate Prefecture University, 152-52 Sugo, Takizawa, Iwate Prefecture, Japan: Springer. https://doi.org/10.1007/978-3-030-31605-1_1
El Annas, M., Ouzineb, M., & Benyacoub, B. (2020). A Variable Neighborhood Search Algorithmic Approach for Estimating MDHMM Parameters and Application in Credit Risk Evaluation for Online Peer-to-Peer (P2P) Lending. In B. R., S. A., & M. N. (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 12010 LNCS (pp. 139–151). Institut National de Statistique et d’Economie Appliquée, Rabat, Morocco: Springer. https://doi.org/10.1007/978-3-030-44932-2_10
Niu, B., Ren, J., & Li, X. (2019). Credit scoring using machine learning by combing social network information: Evidence from peer-to-peer lending. Information (Switzerland), 10(12). https://doi.org/10.3390/INFO10120397
Raimundo, B., & Bravo, J. M. (2024). Credit Risk Scoring: A Stacking Generalization Approach. In R. A., A. H., D. G., M. F., & C. V. (Eds.), Lecture Notes in Networks and Systems: Vol. 799 LNNS (pp. 382–396). NOVA IMS - Universidade Nova de Lisboa, Lisbon, Portugal: Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-45642-8_38
Polena, M., & Regner, T. (2018). Determinants of borrowers’ default in P2P lending under consideration of the loan risk class. Games, 9(4). https://doi.org/10.3390/g9040082
Guo, Y., Zhou, W., Luo, C., Liu, C., & Xiong, H. (2016). Instance-based credit risk assessment for investment decisions in P2P lending. European Journal of Operational Research, 249(2), 417–426. https://doi.org/https://doi.org/10.1016/j.ejor.2015.05.050
Lam, H. Y., Tsang, Y. P., Wu, C. H., & Tang, V. (2021). Data analytics and the P2P cloud: an integrated model for strategy formulation based on customer behaviour. Peer-to-Peer Networking and Applications, 14(5), 2600–2617. https://doi.org/10.1007/s12083-020-00960-z
Tsapa, J. (2024). Predictive Analytics for Proactive Risk Management in FinTech Lending and Investment. Journal of Artificial Intelligence & Cloud Computing, 3, 1–4. https://doi.org/10.47363/JAICC/2024(3)281
Cole, R., Johan, S., & Schweizer, D. (2021). Corporate failures: Declines, collapses, and scandals. Journal of Corporate Finance, 67, 101872. https://doi.org/https://doi.org/10.1016/j.jcorpfin.2020.101872
Liu, Q., Zou, L., Yang, X., & Tang, J. (2019). Survival or die: a survival analysis on peer-to-peer lending platforms in China. Accounting & Finance, 59(S2), 2105–2131. https://doi.org/https://doi.org/10.1111/acfi.12513
Sheng, S., Zhou, K. Z., & Li, J. J. (2011). The Effects of Business and Political Ties on Firm Performance: Evidence from China. Journal of Marketing, 75(1), 1–15. https://doi.org/10.1509/jm.75.1.1
Shi, W. (Stone), Markóczy, L., & Stan, C. V. (2013). The Continuing Importance of Political Ties in China. Academy of Management Perspectives, 28(1), 57–75. https://doi.org/10.5465/amp.2011.0153
Brinkerhoff, D. W., & Brinkerhoff, J. M. (2011). Public–private partnerships: Perspectives on purposes, publicness, and good governance. Public Administration and Development, 31(1), 2–14. https://doi.org/https://doi.org/10.1002/pad.584
Mundle, L., Beisheim, M., & Berger, L. (2017). How private meta-governance helps standard-setting partnerships deliver. Sustainability Accounting, Management and Policy Journal, 8(5), 525–546. https://doi.org/10.1108/SAMPJ-07-2016-0045
Klein, G., Shtudiner, Z., & Zwilling, M. (2023). Why do peer-to-peer (P2P) lending platforms fail? The gap between P2P lenders’ preferences and the platforms’ intentions. Electronic Commerce Research, 23(2), 709–738. https://doi.org/10.1007/s10660-021-09489-6
Arora, N., & Kaur, P. D. (2021). Blockchain Empowered Framework for Peer to Peer Lending. 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021. Guru Nanak Dev University Regional Campus, Department of Computer Science and Engineering, Punjab, Jalandhar, India: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICRITO51393.2021.9596552
Madan, T., & Moray, R. (2024). Is Blockchain Technology a Feasible Solution for P2P Lending Platforms to Improve Operational Ability? In I. A., S. J., P. B., & J. A. (Eds.), Lecture Notes in Networks and Systems (Vol. 833, pp. 187–196). Symbiosis International (Deemed University), Pune, India: Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-8346-9_16
Resano, J.R.M. (2021). Regulating for Competition with Bigtechs: Banking-As-A-Service and “Beyond Banking.” SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3982500
Aliano, M., Ragni, S., Cestari, G., & Alnabulsi, K. (2023). Peer-to-Peer (P2P) Lending in Europe: Evaluating the Default Risk of Borrowers in the Context of Gender and Education. EUROPEAN SCIENTIFIC JOURNAL, 19(19), 61–79. https://doi.org/10.19044/esj.2023.v19n7p60
Hussain, J., Salia, S., & Karim, A. (2018). Is knowledge that powerful? Financial literacy and access to finance. Journal of Small Business and Enterprise Development, 25(6), 985–1003. https://doi.org/10.1108/JSBED-01-2018-0021
Gerwe, O. (2024). The sharing economy reaching its boundaries: What’s Next? Strategy & Leadership, 52(5/6), 1–7. https://doi.org/10.1108/SL-09-2024-0086
Claessens, S. (2007). Current challenges in financial regulation. https://doi.org/10.1093/acprof:oso/9780199754656.003.0008
Challoumis, C., & Eriotis, N. (2024). The Historical View of Banking System in Greece During the Financial Crisis. Journal of Ecohumanism, 3(8 SE-Articles), 991–1011. https://doi.org/10.62754/joe.v3i8.4776
Huang, Robin Hui, & Wang, C. M. (2021). The fall of online p2p lending in china: A critique of the central-local co-regulatory regime. Banking & Finance Law Review, 36(3), 481–515. https://doi.org/10.62754/joe.v3i8.4776
Jagtiani, J., & Lemieux, C. (2018). Do fintech lenders penetrate areas that are underserved by traditional banks? Journal of Economics and Business, 100, 43–54. https://doi.org/https://doi.org/10.1016/j.jeconbus.2018.03.001
Agoraki, M.-E. K., Aslanidis, N., & Kouretas, G. P. (2022). U.S. banks’ lending, financial stability, and text-based sentiment analysis. Journal of Economic Behavior & Organization, 197, 73–90. https://doi.org/https://doi.org/10.1016/j.jebo.2022.02.025
Mhlanga, D. (2021). Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment. International Journal of Financial Studies, Vol. 9. https://doi.org/10.3390/ijfs9030039
Yu, Y., & Yin, Z. (2021). Research on the Impact of Online Lending Regulatory Policies on P2P Platforms Take Paipaidai as an example. Proceedings - 2nd International Conference on E-Commerce and Internet Technology, ECIT 2021, 63–66. https://doi.org/10.1109/ECIT52743.2021.00021
AHP. (2024). OJK Encourages Productive Loan in New Peer-to-Peer Implementing Regulation: What is the Impact for Businesses? Retrieved December 30, 2024, from Client Update: Indonesia website: https://www.ahp.id/ojk-encourages-productive-loan-in-new-peer-to-peer-implementing-regulation-what-is-the-impact-for-businesses/
Nayak, S. (2022). Harnessing Explainable AI (XAI) For Transparency In Credit Scoring And Risk Management In Fintech. International Journal of Applied Engineering and Technology (London), 4, 214–236. https://romanpub.com/ijaetv4-2-2022.php
Acharya, V. V, & Rajan, R. (2024). Liquidity, Liquidity Everywhere, Not a Drop to Use: Why Flooding Banks with Central Bank Reserves May Not Expand Liquidity. The Journal of Finance, 79(5), 2943–2991. https://doi.org/https://doi.org/10.1111/jofi.13370
Levantesi, S., & Piscopo, G. (2022). Mutual peer-to-peer insurance: The allocation of risk. Journal of Co-Operative Organization and Management, 10(1), 100154. https://doi.org/https://doi.org/10.1016/j.jcom.2021.100154
Brescia, R. H. (2016). Regulating the Sharing Economy: New and Old Insights into an Oversight Regime for the Peer-to-Peer Economy. Nebraska Law Review, 95(1), 87. Retrieved from https://digitalcommons.unl.edu/nlr/vol95/iss1/4
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Lucan Feliciano D'Surya, Henrycus Winarto Santoso, Sugeng Hariadi

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.