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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Economics and Business

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asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
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Published: 08 October 2022

Bibliometric Analysis of Peer to Peer Lending Fintech Trends

Sita Nurhayati, Alni Rahmawati, Arni Surwanti

Universitas Muhammadiyah Yogyakarta, Indonesia

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, management journal

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doi

10.31014/aior.1992.05.04.454

Pages: 1-7

Keywords: Peer to Peer lending, Fintech, Bibliometric, VOSviewer

Abstract

This study aims to determine the development map of research related to "peer-to-peer lending." This research was conducted in December 2021-January 2022 by searching the Scopus database. The researcher uses the keywords “fintech,” “peer-to-peer lending,” crowdfunding” through Scopus and also Sci-hub to get some documents that are not free. In this study, bibliometric analysis uses software called VOSviewer to analyze the results. Based on the search results, the researchers obtained 27 scientific work search results which were then exported in CSV format and processed using VOSviewer. Based on the results of the analysis, this study shows that the keywords (co-occurrence) are divided into 4 clusters with a total of 29 topics. Through network visualization, It is shown that the relationship between nodes (edges) is shown by a line between nodes. The more lines of relationship between nodes, the closer the relationship between documents. Meanwhile, the density visualization shows that if the color visualized is yellow then the topic has been studied a lot and if it is green then the topic is still rarely studied.

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