A Study On Robo – Advisory And Its Impact On Mutual Fund Investment Decisions Financial Service Industry
Keywords:
Robo- Advisory, Mutual Fund Investment, Digital wealth management, Fintech , Portfolio Diversification, Regression, Correlation.Abstract
The financial services industry has undergone significant transformation with the emergence of Financial Technology (FinTech), leading to the widespread adoption of digital investment solutions. Robo-advisory services have become an important innovation in wealth management by offering automated, algorithm-based investment advice that is cost-effective, accessible, and tailored to investors' financial goals and risk profiles. These platforms have gained popularity among mutual fund investors by simplifying the investment process and promoting informed financial decision-making. The findings reveal that a majority of respondents are aware of robo-advisory services and consider them convenient, user-friendly, and economical. The study indicates that robo-advisory platforms positively influence mutual fund investment decisions by providing personalized investment recommendations, encouraging Systematic Investment Plans (SIPs), improving portfolio management, and enhancing investor confidence. The study concludes that robo-advisory services have significantly contributed to improving investment accessibility and decision-making among mutual fund investors associated with NJ Wealth Pvt. Ltd. By leveraging advanced technologies such as Artificial Intelligence (AI) and data analytics, robo-advisory platforms support efficient financial planning and encourage long-term wealth creation.
References
Association of Mutual Funds in India. (2024). Annual Report 2023–24.
Securities and Exchange Board of India. (2023). SEBI (Investment Advisers) Regulations, 2013 (Updated).
Reserve Bank of India. (2024). Report on Trend and Progress of Banking in India.
National Institute of Securities Markets. (2023). Mutual Fund Distributors Certification Workbook. Mumbai: NISM.
Sironi, P. (2016). FinTech Innovation: From Robo-Advisors to Goal-Based Investing and Gamification. John Wiley & Sons.
Jung, D., Dorner, V., Glaser, F., & Morana, S. (2018). Robo-advisory: Digitalization and automation of financial advisory services. Business & Information Systems Engineering, 60(1), 81–86.
Leelavati, T. S., Madhavi, S., & Aminabee, S. (2025). Fostering ethical decision-making skills in pharmaceutical education: Vital for future pharmacists. Indian Journal of Pharmaceutical Education & Research, 59(2).
Madhavi, N. S. S., Sripathi, M., Leelavati, T. S., Venkata Phani Krishna, K., et al. (2022). A green marketing exploration: A shift from traditional marketing for a sustainable environment. NeuroQuantology, 20(8), 2785–2792.
Kamal, G., Vinod, M., & Leelavathi, T. S. (2015). Organizational psychology.
Sripathi, M., & Leelavati, T. S. (2024). Climate crisis chronicles: Navigating eco anxiety and climate related distress. In Impact of Climate Change on Social and Mental Well-Being (pp. 51–73).
Leelavati, T. S., Madhavi, S., & Chandra, R. K. (2022). Is AI the next big thing in human resources? Academy of Marketing Studies Journal, 26(4), 1–10.
Leelavati, T. S., & Chalam, G. V. (2020). Can emotional intelligence be developed? International Journal of Multidisciplinary Educational Research, 9(8), 104–109.
Leelavati, T. S., & Chalam, G. V. (2019). Impact of demographic factors on emotional intelligence: An empirical analysis. Journal of Emerging Technologies and Innovative Research, 6(6), 136–144.
Sripathi, M., Leelavati, T. S., Durga, Y. K., Susmitha, D. K., Babu, A. M., & Podile, V. (2025). Decision-making models for efficient outbreak response: A management-orientated approach to dengue control in Andhra Pradesh, India.
Sripathi, M., Prasad, U. D., & Leelavati, T. S. (2025). Customer experiences in mindful consumption of organic food: Convergent parallel mixed method. Indian Journal of Marketing, 9–24.
Published
How to Cite
Issue
Section
Copyright (c) 2025 Journal of Advanced Research in Operational and Marketing Management
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
