Determinant factors of new investor intention for using online trading system

The support of government in the improvement of stock investment has been encourage security firms to develop online trading system. The system is implemented to support the remote stock trading and suppose to boost transaction number. This study aims to analyses the factors that determine the intention of new investors in using such system. Three popular theories are used such as Technology Acceptance Model, Theory of Reasoned Action, Theory of Planned Behavior. The data collected with five Likert scale questionnaires and analyze with structural equation modeling (SEM) technique using SmartPLS. The result shows that perceived ease of use and perceived usefulness has significant effect towards attitude that will affect the intention. Trust also found to has influence toward subjective norm that ultimately affect intention. However, perceived behavior control is not proven to influence investor intention to use the system.