Article: Robo-advisors: a futuristic approach to wealth management Journal: International Journal of Services Operations and Informatics (IJSOI) 2025 Vol.13 No.2/3/4 pp.264 - 291 Abstract: The rapid growth of robo-advisory services has sparked increasing academic interest, yet a comprehensive understanding of the intellectual landscape remains underdeveloped. Hence, the present study conducts a bibliometric analysis using performance analysis and science mapping techniques. By applying bibliographic coupling, key research themes are identified and structured using the antecedents-decisions-outcomes (ADO) framework to provide conceptual clarity. The analysis reveals six major themes: Anthropomorphism and Intention to Adopt Robo-Advisors and Driving Forces behind the Emergence and Advancement of Robo-Advisors (Antecedents); Robo-Advisors as Expounding Financial Decision Makers and Functionality and Challenges of Robo-Advisors (Decisions); and Models and Frameworks for Enhancing Investment Performance (Outcomes). This study contributes to literature by mapping the evolution of research in robo-advisory services, identifying thematic clusters, and proposing future research directions. Specifically, it highlights the potential for integrating robo-advisors into ESG-frameworks, exploring post usage investor behaviour, enhancing customer loyalty, and incorporating NLP to reduce behavioural biases in financial decision-making. Inderscience Publishers - linking academia, business and industry through research

Title: Robo-advisors: a futuristic approach to wealth management

Authors: Chanchal Phore; Pallavi Rajain; Amogh Talan

Addresses: Department of Management, Maharaja Surajmal Institute, Janakpuri, New Delhi, 110058, India ' Department of Management, Maharaja Surajmal Institute, Janakpuri, New Delhi, 110058, India ' School of Management, Dr. B. R. Ambedkar University Delhi, India New Delhi, 110006, India

Abstract: The rapid growth of robo-advisory services has sparked increasing academic interest, yet a comprehensive understanding of the intellectual landscape remains underdeveloped. Hence, the present study conducts a bibliometric analysis using performance analysis and science mapping techniques. By applying bibliographic coupling, key research themes are identified and structured using the antecedents-decisions-outcomes (ADO) framework to provide conceptual clarity. The analysis reveals six major themes: Anthropomorphism and Intention to Adopt Robo-Advisors and Driving Forces behind the Emergence and Advancement of Robo-Advisors (Antecedents); Robo-Advisors as Expounding Financial Decision Makers and Functionality and Challenges of Robo-Advisors (Decisions); and Models and Frameworks for Enhancing Investment Performance (Outcomes). This study contributes to literature by mapping the evolution of research in robo-advisory services, identifying thematic clusters, and proposing future research directions. Specifically, it highlights the potential for integrating robo-advisors into ESG-frameworks, exploring post usage investor behaviour, enhancing customer loyalty, and incorporating NLP to reduce behavioural biases in financial decision-making.

Keywords: robo-advisor; investment; artificial intelligence; bibliometric analysis; VosViewer.

DOI: 10.1504/IJSOI.2025.152353

International Journal of Services Operations and Informatics, 2025 Vol.13 No.2/3/4, pp.264 - 291

Received: 18 Oct 2024
Accepted: 13 Nov 2025
Published online: 16 Mar 2026 *

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Title: Robo-advisors: a futuristic approach to wealth management

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