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ORIGINAL RESEARCH article

Front. Blockchain

Sec. Blockchain for Web3 and the Metaverse

This article is part of the Research TopicBlockchain, Web3, and the Metaverse: Legal, Managerial, and Financial Pathways for Future Business and GovernanceView all 5 articles

Trends in Blockchain in Finance: Unveiling Latent Research Topics using a Structural Topic Modelling Approach

Provisionally accepted
Manisha SanghviManisha Sanghvi1Prashant UbarhandePrashant Ubarhande2Arti ChandaniArti Chandani3*Mohit PathakMohit Pathak4Smita WagholikarSmita Wagholikar5Sonali BagadeSonali Bagade6Rizwana AtiqRizwana Atiq7
  • 1Symbiosis International University Symbiosis Institute of Management Studies, Pune, India
  • 2Symbiosis Skills and Professional University, Pimpri-Chinchwad, India
  • 3Jaipuria Institute of Management, Lucknow, India
  • 4IMI Kolkata, Kolkata, India
  • 5Symbiosis International University Symbiosis Institute of Technology, Pune, India
  • 6School of Management and Research, Dr. D. Y. patil Dnyan Prasad University, Pune, India
  • 7Integral University, Lucknow, India

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Technological advances, such as blockchain, have revolutionized the finance sector by providing a secure, transparent, and efficient system for transactions. The present study utilized the Latent Dirichlet Allocation (LDA) method to analyse 2,401 scholarly pieces using Python, to explore the research areas in the domain of finance. The results of the study show 15 important topics in blockchain and finance. Later, these topics were grouped into five clusters to identify future research avenues. We have also proposed research questions under each cluster aimed at filling the research gap. The study offers suggestions to future researchers by uncovering the existing gaps in the body of knowledge in blockchain in finance, along with documenting the emerging trends in the domain of finance.

Keywords: Blockchain, finance, latent Dirichlet allocation (LDA), literature review, Structural Topic Modelling (STM)

Received: 28 Oct 2025; Accepted: 15 Jan 2026.

Copyright: © 2026 Sanghvi, Ubarhande, Chandani, Pathak, Wagholikar, Bagade and Atiq. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Arti Chandani

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Supplementary Material