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Prabandhan: Indian Journal of Management

ISSN: 0975-2854 Frequency: Monthly Peer Review: Double-blind Published since: 2008 Language: English
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Online Peer-to-Peer (P2P) Lending : A Systematic Literature Review Using Bibliometric Analysis

Open Access Original Article

Online Peer-to-Peer (P2P) Lending : A Systematic Literature Review Using Bibliometric Analysis

Sarasanabelli Prasanna Kumari1,  Madhusmita Mohanty2

1 Research Scholar, VIT-AP University, Amaravati - 522 237, Andhra Pradesh

2 Assistant Professor Senior Grade, VIT-AP University, Amaravati - 522 237, Andhra Pradesh

Volume 17
Issue 7
Pages 57–79
Year 2024
Received: Aug. 10, 2023 Accepted: April 20, 2024 Published: July 1, 2024
Abstract

Purpose : The purpose of this bibliometric analysis was to find out the peer-to-peer lending platforms trend published from 2010 to 2024. The data was collected from Scopus and the Web of Science database. The present study aimed to uncover research areas of focus, leading authors, journal categories, and country affiliations in the area of peer-to-peer lending.

Design/Methodology/Approach : The investigation, which included estimations of nation affiliation, journal classification, author productivity assessment, and extensive keyword research, was conducted using R programming. Over the 15 years, a total of 1,401 publications were reviewed and categorized in order to find patterns and trends.

Findings : The study revealed that there were a considerable number of articles from China. It was also evident that most are consistent with P2P lending research. The central themes of the present study involved crowdfunding, fintech, credit scoring, and artificial intelligence. Remarkably, the Finance Research Letters journal appeared to be the best in the area, and LIU Y was named as the most renowned author.

Practical Implications : The outcome could be compared to financial technology policymakers’ and researchers’ decisions to guide policy and research topics. By understanding worldwide trends and academic collaboration in peer-to-peer lending research, we can make decisions and improvise the field with ample depth evidence.

Originality/Value : This study thus completed the ongoing search for information and understanding about the innovative settings of peer-to-peer lending in the fields of academia, finance, and technology. Identification of key research trends, prominent contributors, and policy trends enables the survey to provide insightful data for future research.

Keywords P2P lending bibliometrics R programming peer-to-peer lending citation analysis and co-citation analysis
How to Cite

Sarasanabelli Prasanna Kumari, Madhusmita Mohanty (2024). Online Peer-to-Peer (P2P) Lending : A Systematic Literature Review Using Bibliometric Analysis. Prabandhan: Indian Journal of Management, 17(7), 57–79. https://doi.org/10.17010/pijom/2024/v17i7/173637

References
  1. Ahuja, D., & Madan, P. (2022). Fifty years of research on Vedas: A bibliometric analysis. Prabandhan: Indian Journal of Management, 15(8), 59–72. https://doi.org/10.17010/pijom/2022/v15i8/171526
  2. Ariza-Garzón, M.-J., Camacho-Miñano, M.-D., Segovia-Vargas, M.-J., & Arroyo, J. (2021). Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions. Electronic Commerce Research and Applications, 49, 101079. https://doi.org/10.1016/j.elerap.2021.101079
  3. Bachmann, A., Becker, A., Buerckner, D., Hilker, M., Kock, F., Lehmann, M., & Tiburtius, P. (2011). Online peer-to-peer lending – A literature review. Journal of Internet Banking and Commerce, 16(2), 1–18.
  4. Basha, S. A., Elgammal, M. M., & Abuzayed, B. M. (2021). Online peer-to-peer lending: A review of the literature. Electronic Commerce Research and Applications, 48, 101069. https://doi.org/10.1016/j.elerap.2021.101069
  5. Belleflamme, P., Omrani, N., & Peitz, M. (2015). The economics of crowdfunding platforms. Information Economics and Policy, 33, 11–28. https://doi.org/10.1016/j.infoecopol.2015.08.003
  6. Bollaert, H., Lopez-de-Silanes, F., & Schwienbacher, A. (2021). Fintech and access to finance. Journal of Corporate Finance, 68, 101941. https://doi.org/10.1016/j.jcorpfin.2021.101941
  7. Bruton, G., Khavul, S., Siegel, D., & Wright, M. (2015). New financial alternatives in seeding entrepreneurship: Microfinance, crowdfunding, and peer–to–peer innovations. Entrepreneurship Theory and Practice, 39(1), 9–26. https://doi.org/10.1111/etap.12143
  8. Chen, D., Li, X., & Lai, F. (2023). Shill bidding in lenders' eyes? A cross-country study on the influence of large bids in online P2P lending. Electronic Commerce Research, 23(2), 1089–1114. https://doi.org/10.1007/s10660-021-09503-x
  9. Chen, Y., & Hassink, R. (2022). The geography of the emergence of online peer-to-peer lending platforms in China: An evolutionary economic geography perspective. International Journal of Urban Sciences, 26(2), 351–371. https://doi.org/10.1080/12265934.2021.1879664
  10. Dimitrov, D. V. (2016). Medical internet of things and big data in healthcare. Healthcare Informatics Research, 22(3), 156–163. https://doi.org/10.4258/hir.2016.22.3.156
  11. Duarte, J., Siegel, S., & Young, L. (2012). Trust and credit: The role of appearance in peer-to-peer lending. The Review of Financial Studies, 25(8), 2455–2484. https://doi.org/10.1093/rfs/hhs071
  12. 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. https://doi.org/10.1080/00036846.2014.962222
  13. Gao, Y., Yu, S.-H., Chen, M., & Shiue, Y.-C. (2020). A 2020 perspective on “The performance of the P2P finance industry in China.” Electronic Commerce Research and Applications, 40, 100940. https://doi.org/10.1016/j.elerap.2020.100940
  14. 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
  15. He, D., Leckow, R. B., Haksar, V., Griffoli, T. M., Jenkinson, N., Kashima, M., Khiaonarong, T., Rochon, C., & Tourpe, H. (2017). Fintech and financial services: Initial considerations. International Monetary Fund, 2017(005), 7–49. https://doi.org/10.5089/9781484303771.006
  16. He, F., Qin, S., & Zhang, X. (2021). Investor attention and platform interest rate in Chinese peer-to-peer lending market. Finance Research Letters, 39, 101559. https://doi.org/10.1016/j.frl.2020.101559
  17. 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. https://doi.org/10.1509/jmkr.48.SPL.S138
  18. Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102
  19. Kazemi, N., Modak, N. M., & Govindan, K. (2019). A review of reverse logistics and closed loop supply chain management studies published in IJPR: A bibliometric and content analysis. International Journal of Production Research, 57(15–16), 4937–4960. https://doi.org/10.1080/00207543.2018.1471244
  20. Kholidah, H., Hijrah, H. Y., Mawardi, I., Huda, N., Herianingrum, S., & Alkausar, B. (2022). A bibliometric mapping of peer-to-peer lending research based on economic and business perspective. Available at SSRN. https://doi.org/10.2139/ssrn.4116267
  21. Kriebel, J., & Stitz, L. (2022). Credit default prediction from user-generated text in peer-to-peer lending using deep learning. European Journal of Operational Research, 302(1), 309–323. https://doi.org/10.1016/j.ejor.2021.12.024
  22. Kumar, S., Khan, A., Lochab, A., Gupta, V. P., & Arora, A. K. (2023). Boundaryless career: A bibliometric analysis. Prabandhan: Indian Journal of Management, 16(8), 24–44. https://doi.org/10.17010/pijom/2023/v16i8/173063
  23. Lin, M., Prabhala, N., & Viswanathan, S. (2012). Judging borrowers by the company they keep: Friendship networks and information asymmetry in online peer-to-peer lending. Management Science, 59(1), 17–35. https://doi.org/10.1287/mnsc.1120.1560
  24. Liu, Z., Shang, J., Wu, S. Y., & Chen, P. Y. (2020). Social collateral, soft information and online peer-to-peer lending: A theoretical model. European Journal of Operational Research, 281(1), 428–438. https://doi.org/10.1016/j.ejor.2019.08.038
  25. Ludhani, K. K., Kumar, S., & Panda, S. K. (2023). A bibliometric overview of Prabandhan: Indian Journal of Management between 2011 and 2021. Prabandhan: Indian Journal of Management, 16(1), 8–24. https://doi.org/10.17010/pijom/2023/v16i1/172666
  26. Mao, G., Huang, N., Chen, L., & Wang, H. (2018). Research on biomass energy and environment from the past to the future: A bibliometric analysis. Science of The Total Environment, 635, 1081–1090. https://doi.org/10.1016/j.scitotenv.2018.04.173
  27. Nath, A., Behura, A. K., Kumar, R., Kanak, T., & Sundararajan, M. (2019). Technology advancement, teachers' efforts, and know-how as key factors to improve students' creativity for excellence in education management. Prabandhan: Indian Journal of Management, 12(11), 7–20. https://doi.org/10.17010/pijom/2019/v12i11/148408
  28. Nia, M. A., & Ruiz-Martínez, A. (2018). Systematic literature review on the state of the art and future research work in anonymous communications systems. Computers & Electrical Engineering, 69, 497–520. https://doi.org/10.1016/j.compeleceng.2017.11.027
  29. Pope, D. G., & Sydnor, J. R. (2011). What's in a picture?: Evidence of discrimination from Prosper.com. Journal of Human Resources, 46(1), 53–92. https://doi.org/10.1353/jhr.2011.0025
  30. Putri, Y. E., Wiryono, S. K., & Nainggolan, Y. A. (2022). Literature review of online peer-to-peer (P2P) lending: Current status, developments, and future directions. International Journal of Trade and Global Markets, 15(2), 217–240. https://doi.org/10.1504/IJTGM.2022.121447
  31. Rathi, S., & Kumar, P. (2023). Work-life balance and work-life conflict: A bibliometric analysis. Prabandhan: Indian Journal of Management, 16(8), 45–64. https://doi.org/10.17010/pijom/2023/v16i8/173064
  32. Rey-Martí, A., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2016). A bibliometric analysis of social entrepreneurship. Journal of Business Research, 69(5), 1651–1655. https://doi.org/10.1016/j.jbusres.2015.10.033
  33. Sardana, V., Mohapatra, A. K., Singh, A. K., & Singhania, S. (2023). Unveiling insurance and risk management insights through bibliometric and cluster analysis. Prabandhan: Indian Journal of Management, 16(11), 8–26. https://doi.org/10.17010/pijom/2023/v16i11/173213
  34. Sardana, V., Mohapatra, A. K., Singhania, S., & Chakrabarti, D. (2024). Changing dynamics of banking landscape: What do we know and what lies ahead? Prabandhan: Indian Journal of Management, 17(1), 8–23. https://doi.org/10.17010/pijom/2024/v17i1/173288
  35. Shiffrin, R. M., & Börner, K. (2004). Mapping knowledge domains. Proceedings of the National Academy of Sciences of the United States of America, 101(suppl_1), 5183–5185. https://doi.org/10.1073/pnas.0307852100
  36. Sunardi, R., Hamidah, H., Buchdadi, A. D., & Purwana, D. (2022). Factors determining adoption of fintech peer-to-peer lending platform: An empirical study in Indonesia. The Journal of Asian Finance, Economics and Business, 9(1), 43–51. https://doi.org/10.13106/jafeb.2022.vol9.no1.0043
  37. Syed, A. M., Bawazir, H. S., & McMillan, D. (2021). Recent trends in business financial risk – A bibliometric analysis. Cogent Economics & Finance, 9(1), Article ID 1913877. https://doi.org/10.1080/23322039.2021.1913877
  38. Taleizadeh, A. A., Safaei, A. Z., Bhattacharya, A., & Amjadian, A. (2022). Online peer-to-peer lending platform and supply chain finance decisions and strategies. Annals of Operations Research, 315(1), 397–427. https://doi.org/10.1007/s10479-022-04648-w
  39. Thakor, A. V. (2020). Fintech and banking: What do we know? Journal of Financial Intermediation, 41, 100833. https://doi.org/10.1016/j.jfi.2019.100833
  40. Transparency Market Research. (2022). Peer-to-peer lending market. https://www.transparencymarketresearch.com/peer-to-peer-lending-market.html
  41. Ubgade, P. N., & Joshi, S. (2022). A review of brand anthropomorphism: Analysis of trends and research. Prabandhan: Indian Journal of Management, 15(10), 47–62. https://doi.org/10.17010/pijom/2022/v15i10/172408
  42. Wang, G., Richad, & Ong, Y. B. (2019). Analysis the use of P2P lending mobile applications in Indonesia. Journal of Physics: Conference Series, 1367, Article ID 012006. https://doi.org/10.1088/1742-6596/1367/1/012006
  43. Wang, X., Fang, Z., & Sun, X. (2016). Usage patterns of scholarly articles on Web of Science: A study on Web of Science usage count. Scientometrics, 109(2), 917–926. https://doi.org/10.1007/s11192-016-2093-0
  44. Wei, Z., & Lin, M. (2017). Market mechanisms in online peer-to-peer lending. Management Science, 63(12), 4236–4257. https://doi.org/10.1287/mnsc.2016.2531
  45. Zand, S. K. (2020). Towards intelligent risk-based customer segmentation in banking. arXiv preprint arXiv:2009.13929. https://doi.org/10.48550/arXiv.2009.13929
  46. Zhang, J., & Liu, P. (2012). Rational herding in microloan markets. Management Science, 58(5), 892–912. https://doi.org/10.1287/mnsc.1110.1459
  47. Zhong, W., & Jiang, T. (2021). Can Internet finance alleviate the exclusiveness of traditional finance? Evidence from Chinese P2P lending markets. Finance Research Letters, 40, 101731. https://doi.org/10.1016/j.frl.2020.101731
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