Examining Technology Acceptance in AI-Driven Financial Investments: A Study of Robo-Advisor Adoption Among UAE Investors

K.A. Asraar Ahmed · Mohd Abdul Muqeet Maaz · Bijay Kumar Paikaray

5 citations0/0 files storedInternational Conference on Artificial Intelligence and Quantum Computing (AIQC)

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Technology Adoption and User Behaviour FinTech, Crowdfunding, Digital Finance Robotic Process Automation Applications

Abstract

This study explores the factors influencing the acceptance of artificial intelligence-based robo-advisor applications for stock trading among retail investors in the United Arab Emirates. The research is grounded in the Unified Theory of Acceptance and Use of Technology- 2 and the TaskTechnology Fit model. The questionnaires were adapted form previous syudies. The data was gathered through an online survey targeting United Arab Emirates investors using Artificial Intelliegnce robo-advisors for stock trading or financial investments, resulting in a sample of 254 respondents. This study used partial least squares structural equation modeling for data analysis. The findings indicate that all constructs, except habit, significantly influence the acceptance of Artificial Intelliegne based robo-advisors for financial investments among United Arab Emirates investors.

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References

1995Task-Technology Fit and Individual Performance 2022What factors contribute to the acceptance of artificial intelligence? A systematic review 2021Integrating TTF and UTAUT2 theories to investigate the adoption of augmented reality technology in education: Perspective from a developing country 2020Task-Technology Fit and Technology Acceptance Model Application to Structure and Evaluate the Adoption of Social Media in Academia 2022One size does not fit all: Young retail investors’ initial trust in financial robo-advisors 2024Artificial intelligence techniques in financial trading: A systematic literature review 2023When do robo-advisors make us better investors? The impact of social design elements on investor behavior 2021Antecedents of intention to adopt artificial intelligence services by consumers in personal financial investing

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