Discovering current trends and forecasting future research directions in FinTech by way of co-word-burst analyses

Purpose The purpose of this study is to identify the existing research themes and future directions of the FinTech field by analyzing the dynamics of co-word burst. Design/methodology/approach A dataset of 1792 SCI or SSCI articles retrieved from the Web of Science database. First, the paper conducted a scientific production analysis. Then, using bibliometric analysis, the paper conducts co-word-burst analyses for keywords, title, abstract and Keywords Plus to detect the emerging trends. Based on these trends, future research directions were forecasted. Findings The study detected six research themes: the knowledge of FinTech, FinTech applications, FinTech technologies, COVID-19, FinTech ecosystem and FinTech implications for research. These six FinTech research themes were further conceptualized as a six-dimensional analytical framework for FinTech investigations. Then, the study forecasts that these six themes and related conversations will be an ongoing focus of Fintech research, particularly COVID-19 effects on FinTech. Originality/value This study is the first attempt to review FinTech literature based on quantitative and qualitative analyses of co-word burst. It overcomes the limitation of individual/group determinant(s) studies and presents a holistic view of current research themes and future research directions in FinTech field.

Authors

Institutions

Publication Details

Journal
Industrial Management & Data Systems
Published
2024-11-11
DOI
https://doi.org/10.1108/imds-03-2023-0190
Citations
5
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
2.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discovering current trends and forecasting future research directions in FinTech by way of co-word-burst analyses

Carson Duan
5 citations
Industrial Management & Data Systems
FinTech, Crowdfunding, Digital Finance
2.64
article

Discovering current trends and forecasting future research directions in FinTech by way of co-word-burst analyses

Carson Duan
article en
5 citations

Abstract

Purpose The purpose of this study is to identify the existing research themes and future directions of the FinTech field by analyzing the dynamics of co-word burst. Design/methodology/approach A dataset of 1792 SCI or SSCI articles retrieved from the Web of Science database. First, the paper conducted a scientific production analysis. Then, using bibliometric analysis, the paper conducts co-word-burst analyses for keywords, title, abstract and Keywords Plus to detect the emerging trends. Based on these trends, future research directions were forecasted. Findings The study detected six research themes: the knowledge of FinTech, FinTech applications, FinTech technologies, COVID-19, FinTech ecosystem and FinTech implications for research. These six FinTech research themes were further conceptualized as a six-dimensional analytical framework for FinTech investigations. Then, the study forecasts that these six themes and related conversations will be an ongoing focus of Fintech research, particularly COVID-19 effects on FinTech. Originality/value This study is the first attempt to review FinTech literature based on quantitative and qualitative analyses of co-word burst. It overcomes the limitation of individual/group determinant(s) studies and presents a holistic view of current research themes and future research directions in FinTech field.

Industrial Management & Data SystemsVol. 125(2)
University of New England (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
FinTech, Crowdfunding, Digital Finance
2.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.