ItemArticle

Artificial intelligence attitudes and resistance to use robo-advisors: exploring investor reluctance toward cognitive financial systems

Title
Artificial intelligence attitudes and resistance to use robo-advisors: exploring investor reluctance toward cognitive financial systems
Creator
Verma, Balraj; Schulze, Mike; Goswami, Divya; Upreti, Kamal
Description
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 users 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. Copyright 2025 Verma, Schulze, Goswami and Upreti.
Source
Frontiers in Artificial Intelligence;Volume;8;Issue;;Article No.;1623534;
Date
01-01-2025
Publisher
Frontiers Media SA
Subject
artificial intelligence; attitude toward AI; cognitive financial systems; FRA; resistance; robo-advisors
Coverage
Verma B., Chitkara Business School, Chitkara University, Punjab, India; Schulze M., CBS International Business School, CBS University of Applied Sciences, Mainz, Germany; Goswami D., Chitkara Business School, Chitkara University, Punjab, India; Upreti K., Department of Computer Science, Christ University, Delhi, India
Rights
All Open Access; Gold Open Access; Green Open Access
Relation
ISSN: 26248212;
Format
online
Language
English
Type
Article

Citation

Verma, Balraj; Schulze, Mike; Goswami, Divya; Upreti, Kamal, “Artificial intelligence attitudes and resistance to use robo-advisors: exploring investor reluctance toward cognitive financial systems,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/23520.

Output Formats