Bibliometric Analysis of AI-driven FinTech Revolution: Mapping Global Trends, Thematic Evolution, and Future Directions.
The introduction of Artificial Intelligence (AI) to Financial Technology (FinTech) has revolutionised financial services by reshaping digital banking, risk assessment, and financial decision-making. This paper presents a bibliometric review of the intellectual landscape, thematic development, and ac...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 34; no. 1; pp. 449 - 478 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
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Universiti Putra Malaysia
Feb2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=192242552&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 192242552 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: Feb2026 vid: 34 iid: 1 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 192242552 10.47836/pjssh.34.1.22 ppf: 449 ppct: 29 formats: fmt: @attributes: type: P size: 6.2MB tig: atl: Bibliometric Analysis of AI-driven FinTech Revolution: Mapping Global Trends, Thematic Evolution, and Future Directions. aug: au: Magli, Amirah Shazana Sabri, Mohamad Fazli Hazudin, Siti Fahazarina Law, Siong Hook M., Janani Najam, Usama Shahabudin, Sharifah Muhairah affil: Department of Political Science, Public Administration and Development Studies, Faculty of Business and Economics, Universiti Malaya, 50603 Kuala Lumpur, Malaysia Department of Resource Management and Consumer Studies, Faculty of Human Ecology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia School of Business & Banking Studies, Faculty of Business and Management, Universiti Teknologi MARA Cawangan Pahang, Kampus Jengka, 26400 Bandar Jengka Pahang, Malaysia Department of Economics, School of Business and Economics, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia Department of Professional Accounting and Finance, School of Commerce, Accounting and Finance, Kristu Jayanti (Deemed to be University), 560077 Bangalore, India Department of Management, Fast school of Management, FAST-NUCES, 54770 Lahore, Pakistan su: Artificial intelligence Financial technology Internet security Online banking Bibliometrics Big data Algorithmic bias Risk assessment sug: subj: Artificial intelligence Financial technology Internet security Online banking Bibliometrics Big data Algorithmic bias Risk assessment keyword: digital banking financial transformation fintech machine learning pre-post-COVID-19 ab: The introduction of Artificial Intelligence (AI) to Financial Technology (FinTech) has revolutionised financial services by reshaping digital banking, risk assessment, and financial decision-making. This paper presents a bibliometric review of the intellectual landscape, thematic development, and academic influence of AI-based FinTech research published between 2012 and 2025. Using the PRISMA methodology, 978 articles from the Web of Science (WoS) database were analysed to identify research trends, collaboration patterns, and citation networks. Results show an immersive publication growth rate of 26.84%, indicating rising academic interest in AI-driven FinTech, with global collaboration accounting for 38.4%, as supported by an increase in international co-authorship in areas such as robo-advisory services and fraud detection. A notable surge in this research has occurred since 2021, particularly in the areas of big data analytics, conversational AI, and algorithmic risk management, accelerated by the rapid industry transformation of post COVID-19 pandemic. However, despite such advances, issues related to algorithmic bias, transparency, and cybersecurity risks remain persistent. This study presents a full map of AI-powered FinTech scholarly research, outlining research topics, trends, and perspectives of future research, offering valuable insights for scholars, policymakers, and industry champions to navigate the changing AI landscape of the financial services sector. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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