FinTech credit: uncovering knowledge base, intellectual structure and research front

Abstract

PurposeOwing to the dramatic rise of FinTech credit in the financial sector, this study describes its knowledge and intellectual structure and paves the way for future research.Design/methodology/approachThe study employs citation analysis, keyword analysis, co-author analysis, co-citation analysis and bibliographic coupling on 268 peer-reviewed articles published during 2010–2021 and extracted from the Web of Science database.FindingsResearch on FinTech credit has picked up momentum from 2016, with majority contributions from China, followed by UK and USA. International Journal of Bank Marketing is found to be the most productive journal. Co-citation analysis reveals that past studies have focused on three dominant themes, viz. (a) factors that influence user intention to adopt technological products and services (b) borrowers' and lenders' characteristics that impact fund-raising in FinTech credit platforms and (c) evolution of FinTech market over the years. Bibliographic coupling reveals that recent trends in FinTech credit include (a) impact of emerging technologies like blockchain, artificial intelligence, big data on financial system, (b) factors that encourage consumers to adopt the FinTech products and services, (c) mechanisms by which FinTechs have transformed formal credit markets, (d) factors that lead to successful fundraising in FinTech platforms and (e) critical perspectives on digital lending platforms.Originality/valueTo the best of the authors' knowledge, this is a pioneering study undertaking an exhaustive analysis of FinTech credit as a research area. The study offers valuable insights on potential topics of research in FinTech credit domain like investigating Balance Sheet Lending Model, investigating the impact of FinTechs on financial system, and new markets by collaborating with scholars of other regions.

Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management

“…Peer-to-peer blockchain networks, decentralized financial systems, and virtual asset and financial data management (Almansour, 2023;Jareño & Yousaf, 2023;Lisha et al, 2023) enhance digital credit products and services, asset trading and monetization, and banking experiences (Babaei et al, 2023;Ha, 2023;Thomas et al, 2023) through cryptocurrency adoption and metaverse wallets. Generative AI and machine learning algorithms enable transaction and authorization processing, personalized financial advice, automated loan approvals, and seamless mobile banking (Campanella et al, 2023;Rjoub et al, 2023), improving operational efficiency in relation to customer profiling, credit and transaction history, lending practices, and spending patterns (Ahelegbey et al, 2023;He et al, 2023;Sharma et al, 2023b), flagging financial crime, fraud patterns, and risky investments through data management techniques (Gonçalves et al, 2023;Su & Xu, 2023;Tan et al, 2023).…”

“…Citation correlations as regards bibliographic coupling show how fintech products and services are developed through blockchain technologies, deep and machine learning, and big data (Thomas et al, 2023) that enhance financial system mechanisms in relation to credit markets and digital lending platforms. Human capital performance, firm volume, and market concentration shape bank profitability, sustainability-related goals, and green finance and lending decision (Mirza et al, 2023) by integrating big data analytics, deep and machine learning algorithms, and blockchain technologies (Figure 4).…”