Peer-to-peer lending: An analytical review of research trends and future prospects

This study aims to identify peer-to-peer lending research trends in the Scopus database from 2017 to 2023. This research uses qualitative methods and a literature study approach. The data source in this study was taken from the Scopus database with the keyword "peer AND to AND peer AND lending" with the publication year of 2017-2023. After applying a set of criteria, 202 articles were used in subsequent analyses. All selected articles are manually read and coded to get some identifiable information from each article. The information includes country setting, journal quality, research method, theories applied in research, and research findings. The reported results are discussed based on theme clusters using bibliometric analysis to classify articles based on the similarity of the authors' keywords. The prominence of peer-to-peer Lending as a study issue is evident from the high caliber of publications predominantly published in esteemed journals categorized as Q1, Q2 and Q3. Conversely, articles specifically focused on peer-to-peer Lending published in Q4 are scarce. The article's keyword grouping identified six cluster themes: Financial sector dynamics, Algorithm decision framework, connected business infotech, P2P Market Crowdfunding Hub, and financial innovation. This study is the first to investigate peer-to-peer lending research trends using literature review and bibliometric analysis. The study focused on articles published between 2017 and 2023.

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Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2024-11-20
DOI
https://doi.org/10.55214/25768484.v8i6.3190
Citations
3
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
1.59
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article

Peer-to-peer lending: An analytical review of research trends and future prospects

Alni Rahmawati, Arni Surwanti, Riny Kusumawati, Mamduh M. Hanafi
3 citations
Edelweiss Applied Science and Technology
FinTech, Crowdfunding, Digital Finance
1.59
article

Peer-to-peer lending: An analytical review of research trends and future prospects

Alni Rahmawati, Arni Surwanti, Riny Kusumawati, Mamduh M. Hanafi
article en
3 citations

Abstract

This study aims to identify peer-to-peer lending research trends in the Scopus database from 2017 to 2023. This research uses qualitative methods and a literature study approach. The data source in this study was taken from the Scopus database with the keyword "peer AND to AND peer AND lending" with the publication year of 2017-2023. After applying a set of criteria, 202 articles were used in subsequent analyses. All selected articles are manually read and coded to get some identifiable information from each article. The information includes country setting, journal quality, research method, theories applied in research, and research findings. The reported results are discussed based on theme clusters using bibliometric analysis to classify articles based on the similarity of the authors' keywords. The prominence of peer-to-peer Lending as a study issue is evident from the high caliber of publications predominantly published in esteemed journals categorized as Q1, Q2 and Q3. Conversely, articles specifically focused on peer-to-peer Lending published in Q4 are scarce. The article's keyword grouping identified six cluster themes: Financial sector dynamics, Algorithm decision framework, connected business infotech, P2P Market Crowdfunding Hub, and financial innovation. This study is the first to investigate peer-to-peer lending research trends using literature review and bibliometric analysis. The study focused on articles published between 2017 and 2023.

Edelweiss Applied Science and TechnologyVol. 8(6)
Universitas Gadjah Mada (ID), Muhammadiyah University of Yogyakarta (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
FinTech, Crowdfunding, Digital Finance
1.59
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Peer-to-peer lending: An analytical review of research trends and future prospects — Alni Rahmawati, Arni Surwanti, et al. · Edelweiss Applied Science and Technology (2024) | TGRS Research Map | TGRS