Evaluating drivers of artificial intelligence adoption on investment decision-making in Malaysia’s financial market

Wong, Agnes Onn Yee and Saw, Ker Xuen and Yee, Jia Hui (2026) Evaluating drivers of artificial intelligence adoption on investment decision-making in Malaysia’s financial market. Final Year Project, UTAR.

PDF Download (2195Kb)

Abstract

This study investigates the drivers of Artificial Intelligence (AI) adoption and their impact on investment decision-making in Malaysia’s financial market. The study examines the relationship between enhanced market efficiency and accuracy, reduction in human bias, personalized investment strategies, ethical and regulatory challenges, market adaptation and technological barriers, investor perception and trust, and the intention to adopt AI in the financial market decision-making. A quantitative research design was employed, and primary data were collected through structured questionnaires distributed to Malaysian investors aged 18 and above who have experience with AI-enabled financial tools such as robo-advisors and algorithmic trading platforms. The collected data were analyzed using descriptive analysis, reliability testing, Pearson correlation, and multiple linear regression analysis. The findings show enhanced market efficiency and accuracy, reduction in human bias, and personalized investment strategies have a positive significant relationship with the intention to adopt AI in the financial market decision-making. In contrast, ethical and regulatory challenges, market adaptation and technological barriers, investor perception and trust have a negative significant relationship with the intention to adopt AI in the financial market decision-making. These findings provide useful insights for policymakers, financial institutions, and future researchers in promoting effective AI adoption in Malaysia’s financial market.

Actions (login required)