Title:
The Impact of Technology Risk Perception and Artificial Intelligence (AI) on the Investment Decision-making Behavior of Generation Z in Hanoi

Authors:
Dinh The Hung, Trinh Tai Anh, Nguyen An Huy, Viet Nam

Abstract:

In the context of rapid digital transformation, artificial intelligence (AI) is increasingly being applied in the financial sector, particularly in investment activities. Technologies such as Robo-Advisors, big data analytics systems, and machine learning algorithms are supporting investors in enhancing their information analysis capabilities and optimizing investment decisions. However, alongside these benefits, the application of AI also raises concerns regarding technology-related risks, including information security risks, algorithmic errors, and the transparency of decisions generated by AI.

This study aims to evaluate the effects of technology risk perception and perceptions of AI on the investment decision-making behavior of Generation Z in Hanoi, while examining the mediating role of Robo-Advisors in the relationships among the research variables. The study employs a quantitative approach through a questionnaire survey using a five-point Likert scale among Generation Z individuals living, studying, or working in Hanoi. The collected data are expected to be analyzed using descriptive statistics, Cronbach's Alpha reliability testing, Exploratory Factor Analysis (EFA), correlation analysis, and linear regression analysis.

The expected findings will provide empirical evidence regarding the factors influencing the investment behavior of Generation Z in the context of the increasing prevalence of AI. The study will also propose managerial implications for FinTech enterprises, financial institutions, and regulatory authorities to promote the safe and effective application of AI in investment activities.

DOI: https://doi.org/10.51505/IJEBMR.2026.10913