IJARSAI International Journal of Advanced Research Scientific Analysis & Inferences
Volume 2, Issue 2, 2026
A Bibliometric Exploration of the Financial Robo-Advisory Landscape
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IJARSAI Int. J. Adv. Res. Sci. Anal. Infer.
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Article Dates: Received: 11 March 2026 | Revised Submission: 03 July 2026 | Accepted: 29 July 2026 | Available Online: 19 August 2026
Abstract
Keywords: Bibliometric Analysis, Robo Advisors, Automated Investment, Fintech, Wealth Management
How to Cite:Sreelakshmi Radhakrishnan. (2026). A Bibliometric Exploration of the Financial Robo-Advisory Landscape. IJARSAI International Journal of Advanced Research Scientific Analysis & Inferences, 02(02), 42–52. https://doi.org/10.5281/zenodo.22012676
Sreelakshmi Radhakrishnan
Research Scholar
Department of Commerce
The Cochin College, Kochi
Affiliated to the Mahatma Gandhi University, Kerala, India
ORCID ID: 0009-0000-9535-4167
Email: sreelakshmi240499@gmail.com
Article Dates: Received: 11 March 2026 | Revised Submission: 03 July 2026 | Accepted: 29 July 2026 | Available Online: 19 August 2026
Abstract
Advancements in data-driven and intelligent technologies have enabled improvements in the provision of financial services. Robo-advisers have become a disruptive factor in the wealth management domain. Automated financial advisors are algorithm-based advisory platforms that provide advice and portfolio optimisation models to investors. It offers 24/7 services at a lower cost than traditional investment advisors. The study used data extracted from Web of Science database, and the collected data were analysed using Biblioshiny. The study examined research trends, key contributors, and thematic developments, and analysed publication patterns, citation networks, keyword occurrences and collaborative research trends. The findings reveal that topics related to artificial intelligence, information technology, investors and robo advisors appear as basic themes, and the current research primarily focuses on user trust and adoption of robo advisory technologies. The keyword analysis highlights fintech, robo advisors and artificial intelligence appear as most central and highly connected keywords. The results provide insights into the evolving research landscape and suggest prominent areas for future investigation.
Keywords: Bibliometric Analysis, Robo Advisors, Automated Investment, Fintech, Wealth Management
How to Cite:Sreelakshmi Radhakrishnan. (2026). A Bibliometric Exploration of the Financial Robo-Advisory Landscape. IJARSAI International Journal of Advanced Research Scientific Analysis & Inferences, 02(02), 42–52. https://doi.org/10.5281/zenodo.22012676
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