Factors Influencing Investors’ Adoption of Robo-Advisors in Bangalore: An Extrapolation from the Fiduciary Duty of Investment Advisors
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Robo-advisors are one of the prominent fintech innovations seen in the era of digitization. This study intended to investigate the factors that influence robo-advisor adoption among investors in Bangalore, India. It integrates the principles of Fiduciary Duty (Care and Loyalty) with the Technology Acceptance Model (TAM). From the analysis of 301 valid responses, the research found that while all fiduciary drivers are significant, Firm Reputation acts as the strongest predictor of value, and Privacy Protection is the primary driver of trust. Interestingly, investment experience did not moderate the relationship between trust and adoption, which suggests that there is a universal trust threshold across all investor segments in the Bangalore market.
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Akhtar, F., Akhtar, S., & Laeeq, M. (2025). Evolution of robo-advisors: Literature review and future directions using the TCCM framework. Journal of Financial Services Research, 68(1), 1-35.
Arenas-Parra, M. (2024). The emerging field of Robo Advisor: A relational analysis. Finance Research Letters, 62, 105156.
Bashir, Z. (2025). The role of trust in financial robo-advisory adoption: A case of Pakistan. Journal of Financial Technology, 12(1), 45-67.
Belanche, D., Casalo, L. V., & Flavian, C. (2019). Artificial intelligence in FinTech: Understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411-1430.
Cao, X., Zwaan, L., & Wong, V. (2025). Building trust in robo-advisory: Technology, firm-specific and system trust. Qualitative Research in Financial Markets, 18. https://doi.org/10.1108/QRFM-02-2024-0033
Cardillo, G., & Chiappini, H. (2024). Robo-advisors: A systematic literature review. Finance Research Letters, 62, 105119. https://doi.org/10.1016/j.frl.2024.105119
Chen, A., Wang, S., Mehta, A. M., Asif, M., Xu, S., & Shahzad, M. F. (2025). FinTech adoption for ESG integration through robo advisors, personalization, and perceived trust. Scientific reports, 15(1), 31125. https://doi.org/10.1038/s41598-025-17046-6
Duffy, S., & Parrish, S. (2021). You say fiduciary, I say binary: a review and recommendation of robo-advisors and the fiduciary and best interest standards. Hastings Bus. LJ, 17, 3.
Ji, M. (2017). Are robots good fiduciaries? Regulating robo-advisors under the Investment Advisers Act of 1940. SSRN Electronic Journal, 117. https://doi.org/10.2139/ssrn.3036722
Kwon, D., Jeong, P., & Chung, D. (2022). An empirical study of factors influencing the intention to use robo-advisors. Journal of Information & Knowledge Management, 21. https://doi.org/10.1142/S0219649222500393
Nguyen, L., Chew, L., Muthaiyah, S., Teh, B., & Ong, T. (2023). Factors influencing acceptance of robo-advisors for wealth management in Malaysia. Cogent Engineering, 10. https://doi.org/10.1080/23311916.2023.2188992
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.
Reserve Bank of India. (2022). Guidelines on Digital Lending. RBI/2022-23/111. Mumbai: RBI.
Securities and Exchange Board of India. (2013, amended 2020). SEBI (Investment Advisers) Regulations, 2013. Mumbai: SEBI.
Securities and Exchange Board of India. (2021). Consultation Paper on Algorithmic Trading by Retail Investors. Mumbai: SEBI.
Senteio, S. M. "Customer Trust and Satisfaction with Robo-Advisor Technology" (2023). Dissertation & Theses Collection. AAI30639555.
https://scholarsarchive.jwu.edu/dissertations/AAI30639555
Sharma, P., & Kesharwani, S. (2025). Robo-advisors: Automated algorithm-driven wealth management services - A literature review. Global Journal of Enterprise Information System, 16.
Shiva, A., Kushwaha, B., & Rishi, B. (2023). A model validation of robo-advisers for stock investment. Borsa Istanbul Review, 23. https://doi.org/10.1016/j.bir.2023.09.005
Verma, B., Schulze, M., Goswami, D., & Upreti, K. (2025). Artificial intelligence attitudes and resistance to use robo-advisors: Exploring investor reluctance toward cognitive financial systems. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2025.1623534
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