Skip to main content

Proof of Concept of Blockchain Integration in P2P Lending for Developing Countries

  • Conference paper
  • First Online:
e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2019)

Abstract

Blockchain is depicted as a promising technology for fintech notably in developing countries. That’s why, it’s important to be interested in it, so as to know how to realize these probables blockchain’s benefits. It presents a diversity of choices that impact on results in various ways. Studies have focused on fintech services business models such as P2P lending, others on the blockchain impact on finance, some even particularized in the case of developing countries. In these areas, a massive penetration of mobile phones is noted. It is in this context that fits this present study. In this paper we study the feasibility of a P2P lending platform based on blockchain and adapted to developing countries. The main contribution made by this article is: we developed a protocol and a business model of Peer-to-Peer (P2P) lending suitable to developing countries and accessible via mobile phone. The protocol integrates a service against the diversion of objectives which is based on smart contract.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Tapscott, A., Tapscott, D.: How blockchain is changing finance. Harvard Bus. Rev. 1(9), 2–5 (2017)

    Google Scholar 

  2. Lee, I., Shin, Y.J.: Fintech: ecosystem, business models, investment decisions, and challenges. Bus. Horiz. 61(1), 35–46 (2018). https://doi.org/10.1016/j.bushor.2017.09.003

    Article  Google Scholar 

  3. Gomber, P., Kauffman, R.J., Parker, C., Weber, B.W.: On the fintech revolution: interpreting the forces of innovation, disruption, and transformation in financial services. J. Manag. Inf. Syst. 35(1), 220–265 (2018). https://doi.org/10.1080/07421222.2018.1440766

    Article  Google Scholar 

  4. Jack, W., Suri, T.: Mobile Money: The Economics of M-PESA (2011). https://doi.org/10.3386/w16721

  5. Swan, M.: Blockchain for business: next-generation enterprise artificial intelligence systems. In: Blockchain Technology: Platforms, Tools and Use Cases, pp. 121–162 (2018). https://doi.org/10.1016/bs.adcom.2018.03.013

  6. Baliga, A.: Understanding blockchain consensus models, April 2017. https://www.persistent.com/wp-content/uploads/2017/04/WP-Understanding-Blockchain-Consensus-Models.pdf

  7. Muzammal, M., Qu, Q., Nasrulin, B.: Renovating blockchain with distributed databases: an open source system. Future Gen. Comput. Syst. 90, 105–117 (2019). https://doi.org/10.1016/j.future.2018.07.042

    Article  Google Scholar 

  8. Duchenne, J.: Blockchain and Smart Contracts. Transforming Climate Finance and Green Investment with Blockchains, pp. 303–317 (2018). https://doi.org/10.1016/b978-0-12-814447-3.00022-7

  9. Phadermrod, B., Crowder, R.M., Wills, G.B.: Importance-performance analysis based SWOT analysis. Int. J. Inf. Manag. (2016). https://doi.org/10.1016/j.ijinfomgt.2016.03.009

    Article  Google Scholar 

  10. Patwardhan, A.: Financial inclusion in the digital age. Handb. Blockchain Digit. Finance Incl. 1, 57–89 (2018). https://doi.org/10.1016/b978-0-12-810441-5.00004-x

    Article  Google Scholar 

  11. Lashitew, A.A., van Tulder, R., Liasse, Y.: Mobile phones for financial inclusion: what explains the diffusion of mobile money innovations? Res. Policy (2019). https://doi.org/10.1016/j.respol.2018.12.010

    Article  Google Scholar 

  12. Larios-Hernández, G.J.: Blockchain entrepreneurship opportunity in the practices of the unbanked. Bus. Horiz. 60(6), 865–874 (2017). https://doi.org/10.1016/j.bushor.2017.07.012

    Article  Google Scholar 

  13. Viriyasitavat, W., Hoonsopon, D.: Blockchain characteristics and consensus in modern business processes. J. Industr. Inf. Integr. (2018). https://doi.org/10.1016/j.jii.2018.07.004

    Article  Google Scholar 

  14. Treleaven, P., Brown, R.G., Yang, D.: Blockchain technology in finance. Computer 50(9) (2017). https://doi.org/10.1109/MC.2017.3571047

  15. World Bank Group. The Little Data Book on Financial Inclusion (2018). https://www.unsgsa.org/files/3815/2511/8893/LDB_Financial_Inclusion_2018.pdf

  16. Mobile Money for the Unbanked Programme (2014). Le point sur le secteur: Les services financiers mobiles destinés aux personnes non bancarisées en 2014

    Google Scholar 

  17. Kursh, S.R., Gold, N.A.: Adding fintech and blockchain to your curriculum. Bus. Educ. Innov. J. http://www.beijournal.com/images/V8N2_final.pdf#page=6

  18. Gai, K., Qiu, M., Sun, X.: A survey on FinTech. J. Netw. Comput. Appl. https://doi.org/10.1016/j.jnca.2017.10.011

  19. Meagher, P.: Cadre réglementaire pour les services financiers numériques en Côte d’Ivoire Etude diagnostique, Juillet 2017

    Google Scholar 

  20. Zins, A., Weill, L.: The determinants of financial inclusion in Africa. Rev. Dev. Finance 6(1), 46–57 (2016). https://doi.org/10.1016/j.rdf.2016.05.00

    Article  Google Scholar 

  21. Business concept. BusinessDictionary.com, 21 May 2019. http://www.businessdictionary.com/definition/business-concept.html

  22. Atlam, H.F., Wills, G.B.: Technical aspects of blockchain and IoT. Adv. Comput. (2018). https://doi.org/10.1016/bs.adcom.2018.10.006

    Article  Google Scholar 

  23. Nguyen, G.-T., Kim, K.: A survey about consensus algorithms used in blockchain. J. Inf. Process. Syst. 14(1), 101–128 (2018). 1976–913X (Print).https://doi.org/10.3745/JIPS.01.0024

  24. Omarini, A.: Peer-to-peer lending: business model analysis and the platform dilemma. Int. J. Finance Econ. Trade (IJFET) (2018). (Submitted 1st August 2018, Accepted 24th Sept)

    Google Scholar 

  25. Byanjankar, A., Heikkila, M., Mezei, J.: Predicting credit risk in peer-to-peer lending: a neural network approach. In: 2015 IEEE Symposium Series on Computational Intelligence (2015). https://doi.org/10.1109/ssci.2015.109

  26. Abdou, H.A., Pointon, J.: Credit scoring, statistical techniques and evaluation criteria: a review of the literature. Intell. Syst. Acc. Finance Manag. 18(2–3), 59–88 (2011). https://doi.org/10.1002/isaf.325

    Article  Google Scholar 

  27. Bartoletti, M., Pompianu, L.: An empirical analysis of smart contracts: platforms, applications, and design patterns. In: Brenner, M., et al. (eds.) FC 2017. LNCS, vol. 10323, pp. 494–509. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70278-0_31

    Chapter  Google Scholar 

  28. Atzei, N., Bartoletti, M., Cimoli, T.: A survey of attacks on ethereum smart contracts (SoK). In: Maffei, M., Ryan, M. (eds.) POST 2017. LNCS, vol. 10204, pp. 164–186. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-662-54455-6_8

    Chapter  Google Scholar 

  29. Wohrer, M., Zdun, U.: Smart contracts: security patterns in the ethereum ecosystem and solidity. In: 2018 International Workshop on Blockchain Oriented Software Engineering (IWBOSE) (2018). https://doi.org/10.1109/iwbose.2018.8327565

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fatou Ndiaye Mbodji .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mbodji, F.N., Mendy, G., Mbacke, A.B., Ouya, S. (2020). Proof of Concept of Blockchain Integration in P2P Lending for Developing Countries. In: Zitouni, R., Agueh, M., Houngue, P., Soude, H. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 311. Springer, Cham. https://doi.org/10.1007/978-3-030-41593-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-41593-8_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41592-1

  • Online ISBN: 978-3-030-41593-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics