FACTORS THAT AFFECT THE INVESTORS’ INTENTION TO ADOPT ROBO-ADVISOR IN MALAYSIA

Our research intend to empirically test the following hypotheses :

H1: There is a relationship between transparency and the investor’s intention to adopt robo-advisory services.
H2: There is a relationship between relative advantage and the investor’s intention to adopt robo-advisory services.
H3: There is a relationship between social influence and the investor’s intention to adopt robo-advisory services.
H4: There is a relationship between perceived usefulness and the investor’s intention to adopt robo-advisory services.
H5: There is a relationship between effort expectancy and the investor’s intention to adopt robo-advisory services.

The data was collected via an online survey questionnaire. The likert scale data collected are based upon the above hypotheses are they are related to the constructs i.e. transparency, relative advantage, social influence, perceived usefulness and effort expectancy.
In this research, we have also identified several variables which predict Malaysian citizens’ intention to adopt this new technology. We found significant relationships between transparency, relative advantage, social influence, and perceived usefulness in the adoption of robo-advisory services in Malaysia. However, there is no significant relationship between effort expectancy and intention to adopt robo-advisory services in Malaysia.