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University students' intention to adopt artificial intelligence (ai) tools in investment strategies: evidence from university tunku abdul rahman

Tee, Helen Xin Ye (2025) University students' intention to adopt artificial intelligence (ai) tools in investment strategies: evidence from university tunku abdul rahman. Final Year Project, UTAR.

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    Abstract

    This study examines the factors influencing the behavioral intention of University Students to adopt Artificial Intelligence (AI) in investment strategies, which is focused on Universiti Tunku Abdul Rahman. This study aims to find out what the main factors are that influence behavioral intention to adopt the AI investment tool. Under this current study, the theory used is the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT2) to investigate the important determinants involved in these two theories, excluding the performance expectancy and effort expectancy. Demographic variables (Gender) also serve as independent variables of this study. A quantitative method was utilised to evaluate the hypothesis. According to this, data were collected from UTAR students using the closed-ended questionnaire. The gathered data were analysed using Statistical Package for the Social Sciences (SPSS). This study offers valuable insights to the Fintech service providers, financial institutions and government.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: H Social Sciences > HG Finance
    T Technology > T Technology (General)
    Divisions: Faculty of Accountancy and Management > Bachelor of Finance (Financial Technology) with Honours
    Depositing User: Sg Long Library
    Date Deposited: 28 Apr 2026 15:23
    Last Modified: 28 Apr 2026 15:23
    URI: http://eprints.utar.edu.my/id/eprint/7635

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