FinTech Companies: A Bibliometric Analysis

Abstract

The financial-technology industry has recently attracted the attention of many sectors. The financial-technology industry designs new and unusual technological financial services in many areas. It combines technology with finance and provides an alternative to the traditional financial system. In the scope of this study, 636 publications were obtained from Scopus. Various tools, such as Microsoft Excel for frequency analysis, and VOSviewer for data visualization, were used. The open-source codes used for bibliometric analysis through the R Studio program were developed by the authors and used for citation-metrics analysis. The main aim of this study was to find out the most influential studies and authors and to reveal the distributions and impacts of publications in the FinTech area between 2015 and 2021 from the Scopus database. The results indicate that the most influential journal is Sustainability Switzerland, and the most cited author is Gomber et al. Additionally, Rabbani has the most publications, while China has emerged as the most productive country. On the other hand, this study found that FinTech research clustered in four areas. These areas are computer science, business management, economics, and social sciences. This FinTech study examines financial services, financial access, and financial technology, where FinTech is at the center. It also focuses on cryptocurrency, bitcoin, and smart contracts where the blockchain is at the center. The results reveal a systematic map of existing studies. Further, the study plays a guiding role in future research.

Mapping the intellectual structure and demystifying the research trend of cross listing: a bibliometric analysis

“…Since there are variations in the overall number of articles in each zone, our results did not confirm Bradford's law that states that one-third of the total articles should be in each zone. Thus, opposite to Deo (1995) and Tepe et al (2022), our results suggest that research on cross listing did not support Bradford's law. This indicates that authors have diversified opportunities to publish in the cross-listing domain.…”

“…The study applied Lotka's law (Lotka, 1926), a bibliometric law for describing the number of publications by the authors in a specific area of research. According to Lotka's law, in a specific field, 60% of all authors have one publication, 15% have two publications and 6.6% contribute three articles in any particular domain of research (Tepe et al ., 2022; Wang et al ., 2022). Figure 6 shows a comparison of the observed distribution to Lotka's distribution.…”

“…A domain is generally dominated by a few journals as per Bradford's law (Bradford, 1985), formulated by S. C. Bradford. It states that journals can be classified into three distinct zones, each with one-third of the total articles (Bhayani et al, 2021;Singh et al, 2007;Tepe et al, 2022;Tsay and Li, 2017;Wang et al, 2022). As illustrated by Singh et al (2016), the core zone, Zone 1 and Zone 2 have an almost equal number of articles (i.e.…”

A Bibliometric mapping of peer-to-peer lending research based on economic and business perspective

“…To conclude a more specific topic classification, the authors also consider the number of citations more than ten times from publications with keywords that emerged from the co-occurrence all keywords analysis cluster. Citation is an important consideration for research publications, because it can show how much impact the research has on making other authors interested in citing the work of the main author as a reference ( Suban et al., 2021 ; Tepe et al., 2022 ; Nasir et al., 2020). Based on tracking these popular keywords and considering the number of citations, shows that the trend of research topics on peer-to-peer lending leads to three aspects, namely the business model, the default risks and the contribution of peer-to-peer lending for SMEs.…”

Three and a half decades of artificial intelligence in banking, financial services, and insurance: A systematic evolutionary review

“…An ecosystem evolved for fintech players, who leverage AI towards cryptocurrencies and asset management (WealthTech), consumer banking for challenger banks (BankTech), lending (LendTech), payments (PayTech), smart contracts and trading (TradeTech), risk management (RiskTech), data security, cost reduction and operational efficiencies, smart marketing, customer experience (e.g., chatbots), insurance (InsurTech), accounting (AccountingTech), and “RegTech,” which is concerned with using algorithmic AI for regulatory monitoring, reporting, and compliance (Cao, 2020; Cao et al, 2021; Chao et al, 2019; Chinnasamy et al, 2021; Littman et al, 2021; Milana & Ashta, 2021; Milian et al, 2019; Nicoletti, 2017, pp. 31–79; Ryll et al, 2020; Sangwan et al, 2019; Sowmiyaa et al, 2020; Tepe et al, 2022). Decentralized finance (DeFi) most recently became a major emerging theme in BFSI, based on self‐executing “smart contracts” (in software code) for lending, deposits, and trading on exchanges (Jiao et al, 2021; Schär, 2021).…”