The Ascent of Robo-Advisory: Scientometrics Analysis and Prospects for Robo-Advisory Research

Qasim Mohamed Abdi*, Ahmet Faruk Aysan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Robo-advisor firms have become a disruptive adoption for many traditional wealth management firms, according to recent research. However, despite the growing interest in this field, there is still a lack of a comprehensive study outlining the development of the robo-advisory industry. To address this gap, we conducted a bibliometric study of the Robo-advisory related literature. This study represents the first comprehensive bibliometric analysis of the literature on robo-advisors thus far. We analysed 95 documents retrieved from the Scopus database across five outlets, including articles, conference papers, conference proceedings, and books between 2010 to 2020.This paper used a variety of bibliographic measures, including bibliographic coupling, citation and co-authorship, and co-occurrence, to derive results and help distinguish the most influential articles, authors, institutions, countries, etc. Our analysis highlights the multidisciplinary aspects of robo-advisory publishing across disciplines such as computer science, economics, business, and social sciences. The two main centres of Robo-advisory research are Germany and the United States. The leading journals in the field of robo-advisory services are the Journal of Wealth Management and the Journal of Asset Management. A small core of authors is responsible for publishing one-third of all published documents. The increase in publications on robo-advisory shows the potential of this area for the future of the industry.

Original languageEnglish
Title of host publicationEurasian Studies in Business and Economics
PublisherSpringer Science and Business Media B.V.
Pages535-550
Number of pages16
DOIs
Publication statusPublished - 3 Jul 2024

Publication series

NameEurasian Studies in Business and Economics
Volume27
ISSN (Print)2364-5067
ISSN (Electronic)2364-5075

Keywords

  • Bibliometric
  • Research
  • Robo-advisory
  • Scopus
  • VosViewer

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