This investigation examines how functional and psychological barriers influence investor reluctance toward financial robo-advisors, suggesting a complex relationship with attitudes towards artificial intelligence.
Introduction The study investigates resistance towards Financial Robo-Advisors (FRAs) among retail investors in India, grounded in innovation resistance theory. The study examines the impact of functional barriers and psychological barriers on resistance to FRAs, while considering user’s attitudes towards Artificial Intelligence (AI) as a moderator. It further evaluate the influence of such resistance on users’ intentions to use and recommend FRAs. Methods Utilizing purposive sampling data was collected from 409 investors and further analyzed using structural equation modelling. Results The findings revealed that all barriers under study, expect value barrier, substantially derive resistance towards robo-advisors, with inertia being the strongest determinant. Further, this resistance impedes both the intention to use FRAs and to recommend them. Moderation analysis results finds that users’ attitude towards AI significantly weakens the influence of inertia, overconfidence bias and data privacy risk on resistance, with no such impact on other relationships. Discussion Overall, the study enriches IRT in Fintech context and provides theoretical and practical insights to enhance FRAs adoption in emerging markets.
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Verma et al. (2025) studied this question.
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