THE ACCEPTANCE OF ROBO-ADVISORY FOR DIGITAL WEALTH ADVISOR: AN INDONESIAN UNIVERSITY STUDENT PERSPECTIVE

• Main Author: Akbar Sani, Ilham
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/64686
• Institution: Institut Teknologi Bandung

The financial services industry is rapidly experiencing significant changes in the way the services are delivered to investors. Considering the said trends, Robo-advisors, which is digital-based advisors, has been eyed by many and is considered to be the potential future of the financial advisor industry. Although there has been a lot of coverage on consumer acceptance of things, there is only few research providing a guideline to interpreting Robo-Advisory for digital wealth management acceptance. So this study purposes a research model to know the demography, usage conditions, the digital savviness of respondents based on demography and what factors that most influence the acceptance of Robo-Advisory for digital wealth management among University student. The author has conducted the study through an online questionnaire and using the Technology Acceptance Model (TAM). One thousand fifty-three usable responses were received, then tested with Partial Least Square (PLS) in order to answer the purposed research hypothesis and also the study provides the overall digital savviness by giving the rating for each indicator of digital savviness. The study confirms that Indonesian university student has low usage of Robo-advisory, it impacts the low digital-used with the following comparison to sex and monthly income. This study also examined the level of digital-savvy towards demography using an independent t-test and one-way ANOVA. The other side, the research found factors that most influence the intention to use of Robo-advisory with two the ways of the result, based on the direct result it shows that from fifteen hypotheses, four of it were rejected, and perceived usefulness and ease of use positively influence the intention to use. On the contrary, to know the indirect factors that affect the result of it, the outcome shows that Convenience becomes the most factors that influence the intention. The conclusion and implications provide the result for the suggestion to stakeholders of Robo-advisory in order to make a necessary service better.