Influence of Peer-to-Peer Lending on transformation of financial architecture and ecosystem
DOI:
https://doi.org/10.20397/2177-6652/2022.v22i1.2341Keywords:
Peer-to-peer lending, Ecosystem, Architecture, Finance, Funding roundsAbstract
The goal of the study is to determine the impact of peer-to-peer lending on transformation processes in the financial architecture and ecosystem. The study hypothesizes that peer-to-peer lending is transforming the financial architecture and ecosystem of the financial market, creating additional positive effects for both consumers and businesses. To investigate these problems, the authors rely on the methodology of the systems approach, emphasizing the importance of using the case-based method and scenario simulation methods to understand the place, role, and prospects of peer-to-peer lending in the developing financial ecosystem as well as in the transformation processes of the financial architecture. The study results in the following conclusions. It is revealed that the peer-to-peer lending market is part of the financial market and has the most significant points of contact with the credit market and the market of microfinance and microcredit organizationsReferences
Abbasi, K., Alam, A., Brohi, N. A., Brohi, I. A., & Nasim, S. (2021). P2P lending Fintechs and SMEs’ access to finance. Economics Letters, 204. https://doi.org/10.1016/j.econlet.2021.109890.
Alam, A., Uddin, M., & Yazdifar, H. (2019). Financing behaviour of R&D investment in the emerging markets: the role of alliance and financial system. In R and D Management (Vol. 49, pp. 21–32). Blackwell Publishing Ltd. https://doi.org/10.1111/radm.12303.
Au, C. H., Tan, B., & Sun, Y. (2020). Developing a P2P lending platform: stages, strategies and platform configurations. Internet Research, 30(4), 1229–1249. https://doi.org/10.1108/INTR-03-2019-0099.
Baranova, A.Y. (2016). The financial architecture of the municipality (on the example of Sochi city). Sochi Journal of Economy, 42(4), 218-224.
Berman, A., Cano-Kollmann, M., & Mudambi, R. (2022). Innovation and entrepreneurial ecosystems: fintech in the financial services industry. Review of Managerial Science, 16(1), 45–64. https://doi.org/10.1007/s11846-020-00435-8
Bitto, A., & Frühwirth-Schnatter, S. (2019). Achieving shrinkage in a time-varying parameter model framework. Journal of Econometrics, 210(1), 75–97. https://doi.org/10.1016/j.jeconom.2018.11.006.
Chan, J. C. C., & Eisenstat, E. (2018). Bayesian model comparison for time-varying parameter VARs with stochastic volatility. Journal of Applied Econometrics, 33(4), 509–532. https://doi.org/10.1002/jae.2617.
Finansovaya arkhitektura postkrizisnogo mira: ehffektivnost reshenij [Financial architecture of the post-crisis world: efficiency of solutions]. (2009). Post-Crisis World Institute. Available at: www.postcrisisworld.org/research/podrobnee
Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services. Journal of Management Information Systems, 35(1), 220–265. https://doi.org/10.1080/07421222.2018.1440766.
Gonzalez, L. (2020). Blockchain, herding and trust in peer-to-peer lending. Managerial Finance, 46(6), 815–831. https://doi.org/10.1108/MF-09-2018-0423.
Haddad, C., & Hornuf, L. (2019). The emergence of the global fintech market: economic and technological determinants. Small Business Economics, 53(1), 81–105. https://doi.org/10.1007/s11187-018-9991-x.
Huang, Z., Chen, H., Hsu, C. J., Chen, W. H., & Wu, S. (2004). Credit rating analysis with support vector machines and neural networks: A market comparative study. Decision Support Systems, 37(4), 543–558. https://doi.org/10.1016/S0167-9236(03)00086-1.
Ivanov, M.E. (n.d.). Sovremennyj vzglyad na traktovku definitsii 'finansovaya arkhitektura' kak metodologicheskoj osnovy mezhstranovykh denezhno-kreditnykh otnoshenij [Modern view on the interpretation of the definition of 'financial architecture' as a methodological basis for cross-country monetary relations]. Available at: http://www.rusnauka.com/3_ANR_2014/Economics/3_156668.doc.htm (date of access: February 10, 2021).
Jawad, M., Naz, M., & Maroof, Z. (2021). Era of digital revolution: Digital entrepreneurship and digital transformation in emerging economies. Business Strategy and Development, 4(3), 220–228. https://doi.org/10.1002/bsd2.145.
Karpinskaya, A.V. (2018). Ekosistema kak edinitsa ehkonomicheskogo analiza [Ecosystem as a unit of economic analysis], In: Sistemnye problemy otechestvennoj mezoehkonomiki, mikroehkonomiki, ehkonomiki predpriyatij: materialy Vtoroj konferentsii Otdeleniya modelirovaniya proizvodstvennykh obektov i kompleksov TSEHMI RАN [Systemic problems of domestic mesoeconomics, microeconomics, and enterprise economics: materials of the Second Conference of the Department of Modeling Production Facilities and Complexes of CEMI RAS]. Moscow: TSEHMI RАN.
Kleiner, G.B. (2018). Sotsialno-ehkonomicheskie ehkosistemy v svete sistemnoj paradigmy [Socio-economic ecosystems in the light of the system paradigm], In: G. B. Kleiner, S. E. Shchepetova (eds,) Sistemnyj analiz v ehkonomike – 2018: sbornik trudov V Mezhdunarodnoj nauchno-prakticheskoj konferentsii [System analysis in economy - 2018: Proceedings of the V International Scientific and Practical Conference]. Moscow: Prometej.
Mishakov, V. Y., Daitov, V. V., & Gordienko, M. S. (2021). Impact of Digitalization on Economic Sustainability in Developed and Developing Countries. In Research for Development (pp. 265–274). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-70194-9_26.
Myers, S.C. (1999). Financial architecture. European Financial Management, 5, 133-141.
Pengnate, S.F., Riggins, F. J. (2020). The role of emotion in P2P microfinance funding: A sentiment analysis approach. International Journal of Information Management, 54. https://doi.org/10.1016/j.ijinfomgt.2020.102138.
Pierrakis, Y. (2019). Peer-to-peer lending to businesses: Investors’ characteristics, investment criteria and motivation. International Journal of Entrepreneurship and Innovation, 20(4), 239–251. https://doi.org/10.1177/1465750319842528
Reza-Gharehbagh, R., Hafezalkotob, A., Asian, S., Makui, A., & Zhang, A. N. (2020). Peer-to-peer financing choice of SME entrepreneurs in the re-emergence of supply chain localization. International Transactions in Operational Research, 27(5), 2534–2558. https://doi.org/10.1111/itor.12715.
Rzhevskaya, Yu. E., Ivanov, M. E. (2014). Kompleksnyj podkhod k issledovaniyu natsionalnoj finansovoj arkhitektury v transformatsionnoj ehkonomicheskoj sisteme [A comprehensive approach to the study of the national financial architecture in the transformational economic system]. Vestnik TISBI, 1, 110-118.
Sempere, C. P. (2020). The digitalisation of money and payments in the post-Covid digital market economy. Ekonomiaz, (98), 296–321.
Siek, M., & Sutanto, A. (2019). Impact Analysis of Fintech on Banking Industry. In Proceedings of 2019 International Conference on Information Management and Technology, ICIMTech 2019 (pp. 356–361). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICIMTech.2019.8843778.
Soloviev, V. (2018). Fintech ecosystem in Russia, in: 2018 Eleventh International Conference "Management of large-scale system development" (MLSD). Moscow, Russia.
Sukharevskaya, A. (2019). Sberbank: rynok kiberstrakhovaniya cherez sem let mozhet dostich 10 mlrd rublei [Sberbank: Cybersecurity insurance market may reach 10 bln roubles in seven years]. Available at: https://www.vedomosti.ru/technology/articles/2019/05/24/802403-sberbank-rinok-kiberstrahovaniya
Trifonov, D.S. (2016). Strukturnye izmeneniya v sovremennoj mirovoj finansovoj arkhitektury [Structural changes in the modern world financial architecture]. Vestnik Samarskogo gosudarstvennogo ehkonomicheskogo universiteta, 6(140), 29-35.
Zhdanova, O. A., Bondarenko, T. G., & Maksimova, T. P. (2019). Peer-to-peer lending in the modern financial system. Journal of Advanced Research in Dynamical and Control Systems, 11(11 Special Issue), 116–124. https://doi.org/10.5373/JARDCS/V11SP11/20192937
Zhu, Y., Xie, C., Wang, G. J., & Yan, X. G. (2017). Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance. Neural Computing and Applications, 28, 41–50. https://doi.org/10.1007/s00521-016-2304-x.
Zimmermann, A., Schmidt, R., Jugel, D., & Möhring, M. (2020). Evolution of Enterprise Architecture for Intelligent Digital Systems. In Lecture Notes in Business Information Processing (Vol. 385 LNBIP, pp. 145–153). Springer. https://doi.org/10.1007/978-3-030-50316-1_9.
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