Behavioural Drivers of AI-Enabled Fintech Adoption: A Study on Digital Literacy and Investment Intentions of Equity Investors
This study investigates the role of Intention to adapt as a critical element in the adoption of Artificial Intelligence (AI) supported financial technology (FinTech) platforms among equity investors. It advances understanding of how psychological and technological factors jointly shape investor behaviour in an AI-driven equity ecosystem. Specifically, it investigates how digital literacy and perceived risk interact with Intention to invest to influence Intention to adapt and investment decision-making. The required data for the study were collected through an online survey from 233 Gen-Z equity investors. Using Structural Equation Modelling (SEM), the study tested an integrated framework combining the Unified Theory of Acceptance and Use of Technology (UTAUT2) and Behavioural Finance Theory. Reliability and validity were assessed using Confirmatory Factor Analysis (CFA), and the mediation effect was analysed to evaluate the mediating role of Intention to adapt. The study found that digital literacy, perceived risk, and financial well-being significantly impact Intention to adapt, whereas effort expectancy, performance expectancy, and social influence did not. Intention to adapt was also identified as reducing biases among different investors and strengthening the relationship between digital literacy and adoption intention. The proposed model also explained a substantial proportion of the variance in investment decision-making, highlighting the importance of intention-to-adapt-driven adoption pathways. These findings suggest that policymakers, FinTech providers, and financial educators prioritize digital literacy initiatives, strengthen data transparency, and embed ethical AI frameworks to improve investor confidence. Furthermore, the work confirms that enhancing Intention to adapt can mitigate perceived risks and raise the long-term adoption rate of AI-enabled financial services.
Authors
- K. Shriya
- T. Velmurugan
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Journal
- International Journal of Accounting and Economics Studies
- Published
- 2025-12-17
- DOI
- https://doi.org/10.14419/05tcqc37
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 0.00