• Abstract

    This study examines the behavioral intentions of investors to use trading robots and the moderating effect of perceived risk. A survey questionnaire is used as the primary data gathering method, with a sample size of 215 retail investors. A Likert scale is used by participants to rate their answers, enabling more accurate assessments of their views and perceptions. This study examines the relationships between variables and evaluates the moderating impact of perceived risk on investor behavioral intentions using partial least squares structural equation modeling (PLS-SEM) as the statistical method. The results show that the constructs generally have acceptable levels of convergent validity and reliability. However, for constructs such as perceived ease of use and perceived risk, which show somewhat lower levels of reliability and convergent validity, more research may be necessary. This could mean that these constructs require improved assessment items or more studies.

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Begam, M. R., Babu, M., & Shah, M. A. (2024). The effect of investor behavior intention on the usage of trading robots: The moderating effect of perceived risk. Multidisciplinary Reviews, (| Accepted Articles). Retrieved from https://malque.pub/ojs/index.php/mr/article/view/2983
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