Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Electronic Commerce Research
Erschienen in: Electronic Commerce Research 1/2024

08.08.2022 | Original Paper

Uncovering research trends and opportunities on FinTech: a scientometric analysis

verfasst von: Junbin Wang, Chenyang Zhao, Lufei Huang, Shuai Yang, Minxing Wang

Erschienen in: Electronic Commerce Research | Ausgabe 1/2024

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper employs the scientific econometric analysis approach to review 705 academic publications related to Fintech from 2006 to 2021. The historical evolution, latest status and development trend of FinTech research are identified by co-authorship networks, co-citation networks and timeline evolution. CiteSpace software is applied to conduct the literature analysis. The results show that the scientometric analysis based on CiteSpace is a practical approach to review the development of financial technology. The rapidly increasing number of publications confirms the vitality of the FinTech field. China, the USA, the UK, Australia and South Korea are the most productive countries in the FinTech field. In contrast, the UK is the country with the highest degree of inter-country cooperation. The analysis results of citation bursts and timeline evolution on FinTech research provide the trends of FinTech research in discipline categories and keywords. Finally, four frontier research streams of FinTech are proposed.
Vorheriger Artikel The effect of digital finance on Residents' happiness: the case of mobile payments in China
Nächster Artikel Knowledge acquisition model of mobile payment based on automatic summary technology

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Zhou, X., et al. (2021). Improved policy mechanisms for the promotion of future digital business economy during covid-19 pandemic. Electronic Commerce Research
2.
3.
Palmié, M., et al. (2020). The evolution of the financial technology ecosystem: An introduction and agenda for future research on disruptive innovations in ecosystems. Technological Forecasting and Social Change, 151, 119779CrossRef
4.
5.
Liu, X., Montgomery, A., & Srinivasan, K. (2018). Analyzing Bank Overdraft Fees with Big Data. Marketing Science, 37(6), 855–882CrossRef
6.
Gan, L., Wang, H., & Yang, Z. (2020). Machine learning solutions to challenges in finance: An application to the pricing of financial products. Technological Forecasting and Social Change, 153, 119928CrossRef
7.
Westland, J. C. (2018). Introduction to the special issue on Big Data in finance and business. Electronic Commerce Research, 18(2), 201–201CrossRef
8.
9.
Boratyńska, K. (2019). Impact of digital transformation on value creation in Fintech services: an innovative approach. Journal of Promotion Management, 25(5), 631–639CrossRef
10.
Cai, C. W. (2018). Disruption of financial intermediation by FinTech: a review on crowdfunding and blockchain (58 vol., pp. 965–992). Accounting & Finance. 4
11.
Hinson, R., Lensink, R., & Mueller, A. (2019). Transforming agribusiness in developing countries: SDGs and the role of FinTech. Current Opinion in Environmental Sustainability, 41, 1–9CrossRef
12.
Fosso Wamba, S., et al. (2020). Bitcoin, Blockchain and Fintech: a systematic review and case studies in the supply chain. Production Planning & Control, 31(2–3), 115–142CrossRef
13.
Paul, J., et al. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR-4‐SLR).International Journal of Consumer Studies,
14.
Lim, W. M., Yap, S. F., & Makkar, M. (2021). Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading? Journal of business research, 122, 534–566CrossRef
15.
Cui, Y., Mou, J., & Liu, Y. (2018). Knowledge mapping of social commerce research: a visual analysis using CiteSpace. Electronic Commerce Research, 18(4), 837–868CrossRef
16.
Ding, X., & Yang, Z. (2020). Knowledge mapping of platform research: a visual analysis using VOSviewer and CiteSpace. Electronic Commerce Research
17.
Hou, J., Yang, X., & Chen, C. (2018). Emerging trends and new developments in information science: a document co-citation analysis (2009–2016). Scientometrics, 115(2), 869–892CrossRef
18.
Donthu, N., et al. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296CrossRef
19.
Donthu, N., et al. (2021). Research Constituents, Intellectual Structure, and Collaboration Patterns in Journal of International Marketing: An Analytical Retrospective. Journal of International Marketing, 29(2), 1–25CrossRef
20.
Donthu, N., et al. (2021). Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis. Journal of Business Research, 135, 758–773CrossRef
21.
Donthu, N., et al. (2021). A bibliometric retrospection of marketing from the lens of psychology: Insights fromPsychology & Marketing (38 vol., pp. 834–865). Psychology & Marketing. 5
22.
Goodell, J. W., et al. (2021). Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis.Journal of Behavioral and Experimental Finance, 32
23.
Kumar, S., et al. (2021). 20 years of Electronic Commerce Research. Electronic Commerce Research, 21(1), 1–40CrossRef
24.
Kumar, S., et al. (2021). What do we know about transfer pricing? Insights from bibliometric analysis. Journal of Business Research, 134, 275–287CrossRef
25.
Kumar, S., et al. (2021). What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment. Business Strategy and the Environment,
26.
Ahmi, A., Tapa, A., & Hamzah, A. H. (2020). Mapping of Financial Technology (FinTech) Research: A Bibliometric Analysis. International Journal of Advanced Science and Technology, 29(8), 379–392
27.
Aysan, A., & Unal, I. M. (2021). Is Islamic Finance Evolving Into Fintech and Blockchain: A Bibliometric Analysis. Efil Journal of Economic Research
28.
Junior, I. C., & Cherobim, A. P. M. S. (2020). Academic production and technological emergence in finance: Bibliometric study on FinTechs. Innovation & Management Review
29.
Li, B., & Xu, Z. (2021). Insights into financial technology (FinTech): a bibliometric and visual study. Financial Innovation, 7(1), 1–28CrossRef
30.
Lakhe, P., & Kulkarni, M. (2020). FinTech regulations: Need, superpowers and bibliometric analysis.Library Philosophy and Practice, : p.1–11
31.
Chen, C., et al. (2012). Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace. Expert Opinion on Biological Therapy, 12(5), 593–608CrossRef
32.
Wang, K., et al. (2016). Cruise shipping review: operations planning and research opportunities. Maritime Business Review, 1(2), 133–148CrossRef
33.
Montefusco, A. M., et al. (2019). Influence of international authorship on citations in Brazilian medical journals: a bibliometric analysis. Scientometrics, 119(3), 1487–1496CrossRef
34.
Hu, W., et al. (2019). Research progress on ecological models in the field of water eutrophication: CiteSpace analysis based on data from the ISI web of science database. Ecological Modelling, 410, 108779CrossRef
35.
Chen, X., & Liu, Y. (2020). Visualization analysis of high-speed railway research based on CiteSpace. Transport Policy, 85, 1–17CrossRef
36.
Fang, Y., Yin, J., & Wu, B. (2018). Climate change and tourism: A scientometric analysis using CiteSpace. Journal of Sustainable Tourism, 26(1), 108–126CrossRef
37.
Zhang, Y., et al. (2020). The knowledge domain and emerging trends in phytoremediation: a scientometric analysis with CiteSpace (pp. 1–22). Environmental Science and Pollution Research
38.
D’Ippolito, B., & Rüling, C. C. (2019). Research collaboration in Large Scale Research Infrastructures: Collaboration types and policy implications. Research Policy, 48(5), 1282–1296CrossRef
39.
Yin, P., et al. (2020). A DEA-based two-stage network approach for hotel performance analysis: An internal cooperation perspective. Omega, 93, 102035CrossRef
40.
Mustak, M., et al. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389–404CrossRef
41.
Higaki, A., et al. (2020). Co-authorship network analysis in cardiovascular research utilizing machine learning (2009–2019). International Journal of Medical Informatics, 143, 104274CrossRef
42.
Dehdarirad, T., & Nasini, S. (2017). Research impact in co-authorship networks: a two-mode analysis. Journal of Informetrics, 11(2), 371–388CrossRef
43.
Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265–269CrossRef
44.
Chen, C. (2004). Searching for intellectual turning points: Progressive knowledge domain visualization. Proceedings of the National Academy of Sciences, 101(suppl 1): p. 5303–5310
45.
Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377CrossRef
46.
Ferreira, F. A. F. (2018). Mapping the field of arts-based management: Bibliographic coupling and co-citation analyses. Journal of Business Research, 85, 348–357CrossRef
47.
Bornmann, L., Haunschild, R., & Hug, S. E. (2018). Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis. Scientometrics, 114(2), 427–437CrossRef
48.
Zhang, Q., et al. (2020). Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III. Journal of Traditional Chinese Medical Sciences, 7(2), 189–198CrossRef
49.
Rawat, K. S., & Sood, S. K. (2021). Knowledge mapping of computer applications in education using CiteSpace. Computer Applications in Engineering Education
50.
Cetina, K. K., Theory, C., & Society (2006). 23(2–3): p. 551–556
51.
Au, Y. A., & Kauffman, R. J. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic commerce research and applications, 7(2), 141–164CrossRef
52.
Ang, J. B., & Kumar, S. (2014). Financial development and barriers to the cross-border diffusion of financial innovation. Journal of Banking & Finance, 39, 43–56CrossRef
53.
54.
Novack, J., Schifrin, M., & Forbes (2015). 196(9): p. 51–64
55.
Gabor, D., & Brooks, S. (2017). The digital revolution in financial inclusion: international development in the fintech era. New Political Economy, 22(4), 423–436CrossRef
56.
Eyal, I. (2017). Blockchain technology: Transforming libertarian cryptocurrency dreams to finance and banking realities. Computer, 50(9), 38–49CrossRef
57.
Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business horizons, 61(1), 35–46CrossRef
58.
Chen, M. A., Wu, Q., & Yang, B. (2019). How valuable is FinTech innovation? The Review of Financial Studies, 32(5), 2062–2106CrossRef
59.
Platanakis, E., & Urquhart, A. (2020). Should investors include bitcoin in their portfolios? A portfolio theory approach. The British Accounting Review, 52(4), 100837CrossRef
60.
Gomber, P., et al. (2018). On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of management information systems, 35(1), 220–265CrossRef
61.
Buchak, G., et al. (2018). Fintech, regulatory arbitrage, and the rise of shadow banks. Journal of Financial Economics, 130(3), 453–483CrossRef
62.
Haddad, C., & Hornuf, L. (2019). The emergence of the global fintech market: economic and technological determinants. Small Business Economics, 53(1), 81–105CrossRef
63.
Gai, K., Qiu, M., & Sun, X. (2018). A survey on FinTech. Journal of Network and Computer Applications, 103, 262–273CrossRef
64.
Gomber, P., Koch, J. A., & Siering, M. (2017). Digital Finance and FinTech: current research and future research directions. Journal of Business Economics, 87(5), 537–580CrossRef
65.
Iyer, R., et al. (2015). Screening Peers Softly: Inferring the Quality of Small Borrowers. Management Science, 62(6), 1554–1577CrossRef
66.
Tang, H. (2019). Peer-to-Peer Lenders Versus Banks: Substitutes or Complements? REVIEW OF FINANCIAL STUDIES, 32(5), 1900–1938CrossRef
67.
Thakor, A. V. (2020). Fintech and banking: What do we know? Journal of Financial Intermediation, 41, 100833CrossRef
68.
Widziewicz-Rzońca, K., & Tytła, M. (2020). First systematic review on PM-bound water: exploring the existing knowledge domain using the CiteSpace software. Scientometrics, 124(3), 1945–2008CrossRef
69.
Yang, L., et al. (2019). A visualized investigation on the intellectual structure and evolution of waste printed circuit board research during 2000–2016. Environmental Science and Pollution Research, 26(11), 11336–11341CrossRef
70.
Ye, M., & Li, G. (2017). Internet big data and capital markets: a literature review. Financial Innovation, 3(1), 6CrossRef
71.
Xiao, F., & Ke, J. (2021). Pricing, management and decision-making of financial markets with artificial intelligence: introduction to the issue. Financial Innovation, 7(1), 85CrossRef
72.
Chen, L., et al. (2021). The role of digital transformation to empower supply chain finance: current research status and future research directions (Guest editorial). International Journal of Operations & Production Management, 41(4), 277–288CrossRef
73.
Tian, X., He, J. S., & Han, M. (2021). Data-driven approaches in FinTech: a survey. Information Discovery and Delivery
74.
Wang, Y., Xiuping, S., & Zhang, Q. (2021). Can fintech improve the efficiency of commercial banks? —An analysis based on big data. Research in International Business and Finance, 55, 101338CrossRef
75.
Liu, Y., & Tsyvinski, A. (2021). Risks and returns of cryptocurrency. The Review of Financial Studies, 34(6), 2689–2727CrossRef
76.
Caferra, R., & Vidal-Tomás, D. (2021). Who raised from the abyss? A comparison between cryptocurrency and stock market dynamics during the COVID-19 pandemic.Finance Research Letters, : p.101954
77.
Roh, T., et al. (2022). What makes consumers trust and adopt fintech? An empirical investigation in China. Electronic Commerce Research
78.
Yao, Y., & Li, J. (2022). Operational risk assessment of third-party payment platforms: a case study of China. Financial Innovation, 8(1), 19CrossRef
79.
Von Solms, J. (2021). Integrating Regulatory Technology (RegTech) into the digital transformation of a bank Treasury. Journal of Banking Regulation, 22(2), 152–168CrossRef
80.
Alaassar, A., Mention, A. L., & Aas, T. H. (2022). Facilitating innovation in FinTech: a review and research agenda. Review of Managerial Science
81.
Ahern, D. (2021). Regulatory Lag, Regulatory Friction and Regulatory Transition as FinTech Disenablers: Calibrating an EU Response to the Regulatory Sandbox Phenomenon. European Business Organization Law Review, 22(3), 395–432CrossRef
82.
Milian, E. Z., Spinola, M. M., & Carvalho, M. M. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34, 100833CrossRef
83.
Lim, W. M. (2022). The Sustainability Pyramid: A Hierarchical Approach to Greater Sustainability and the United Nations Sustainable Development Goals With Implications for Marketing Theory, Practice, and Public Policy. Australasian Marketing Journal
84.
Mohsin, M., et al. (2021). Developing Low Carbon Finance Index: Evidence From Developed and Developing Economies. Finance Research Letters, 43, 101520CrossRef
85.
Le, T. L., Abakah, E. J. A., & Tiwari, A. K. (2021). Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution. Technological Forecasting and Social Change, 162, 120382CrossRef
86.
Pedersen, L. H., Fitzgibbons, S., & Pomorski, L. (2021). Responsible investing: The ESG-efficient frontier. Journal of Financial Economics, 142(2), 572–597CrossRef
87.
Arner, D. W., et al. (2020). Sustainability, FinTech and financial inclusion. European Business Organization Law Review, 21(1), 7–35CrossRef
88.
Liu, A., et al. (2020). A supplier evaluation model based on customer demand in blockchain tracing anti-counterfeiting platform project management. Journal of Management Science and Engineering, 5(3), 172–194CrossRef
89.
Kumar, S., et al. (2022). Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research. Annals of Operations Research
90.
Deng, T., Zhang, K., & Shen, Z. J. (2021). A systematic review of a digital twin city: A new pattern of urban governance toward smart cities. Journal of Management Science and Engineering, 6(2), 125–134CrossRef
91.
Leon Zhao, J., Fan, S., & Yan, J. (2017). Erratum to: Overview of business innovations and research opportunities in blockchain and introduction to the special issue. Financial Innovation, 3(1), 9CrossRef
92.
Hendershott, T., et al. (2021). FinTech as a game changer: Overview of research frontiers. INFORMS. p. 1–17
93.
Li, J., He, Z., & Wang, S. (2022). A survey of supply chain operation and finance with Fintech: Research framework and managerial insights.International Journal of Production Economics, : p.108431
94.
Huang, L., et al. (2022). Blockchain implementation for circular supply chain management: Evaluating critical success factors. Industrial Marketing Management, 102, 451–464CrossRef
95.
Paul, T., et al. (2022). RFID-integrated blockchain-driven circular supply chain management: A system architecture for B2B tea industry. Industrial Marketing Management, 101, 238–257CrossRef
96.
Xu, J., & Duan, Y. (2022). Pricing and greenness investment for green products with government subsidies: When to apply blockchain technology? Electronic Commerce Research and Applications, 51, 101108CrossRef
97.
Lu, Y., et al. (2022). STRICTs: A Blockchain-enabled Smart Emission Cap Restrictive and Carbon Permit Trading System. Applied Energy, 313, 118787CrossRef
98.
Chen, T. H., & Chang, R. C. (2021). Using machine learning to evaluate the influence of FinTech patents: The case of Taiwan’s financial industry. Journal of Computational and Applied Mathematics, 390, 113215CrossRef
99.
Lv, P., & Xiong, H. (2022). Can FinTech improve corporate investment efficiency? Evidence from China. Research in International Business and Finance, 60, 101571CrossRef
Metadaten
Titel
Uncovering research trends and opportunities on FinTech: a scientometric analysis
verfasst von
Junbin Wang
Chenyang Zhao
Lufei Huang
Shuai Yang
Minxing Wang
Publikationsdatum
08.08.2022
Verlag
Springer US
Erschienen in
Electronic Commerce Research / Ausgabe 1/2024
Print ISSN: 1389-5753
Elektronische ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-022-09554-8

Weitere Artikel der Ausgabe 1/2024

Electronic Commerce Research 1/2024 Zur Ausgabe

OriginalPaper

Fintech Growth during COVID-19 in MENA Region: Current Challenges and Future prospects

OriginalPaper

The impact of electronic word-of-mouth on corporate performance during COVID-19

OriginalPaper

Does electronic economics matter to financial technology firms?

OriginalPaper

What influences users’ continuance intention of internet wealth management services? A perspective from network externalities and herding

OriginalPaper

Small businesses and FinTech: a systematic review and future directions

OriginalPaper

The effect of digital finance on Residents' happiness: the case of mobile payments in China