演讲主题：Artificial Intelligence Analyst and Individual Investor Activities: Empirical Evidence from Mutual Fund Investment
主讲人简介：Dr. Siliang （Jack） Tong joined the Division of Information Technology and Operation Management at NBS on 01/02/2021. He earned his Doctoral degree in Marketing from the Fox School of Business, Temple University in 2020. Siliang is an empirical modeler who is interested in the substantive areas of artificial intelligence, mobile app marketing, and sharing economy. He is very active in research as his works were awarded as the best paper and finalist in multiple occasions such as AMA conference and ISMS Marketing Science conference. His research is published in Strategic Management Journal, Marketing Science, Journal of Marketing and the Journal of the Academy of Marketing Science. Before joining the academia, he had 6-year management experience in digital marketing and web analytics, and he obtained his MBA degree from the University of Wisconsin-Madison in 2016
内容简介：Many retail investment platforms have introduced artificial intelligence （AI） analysts to help individual investors gather insights and evaluate investment products. Yet, there is scant empirical effort examining the business impact of such an AI tool on individual investors' financial market investments. To fill this gap, we collaborate with Ant Fortune （an affiliate of Alibaba）, the largest retail investment platform in China, and explore a unique dataset wherein an AI analyst was introduced to facilitate individual investors’ investment activity. Our analyses provide the first empirical evidence showing that individual investors who use the AI analyst perform more manual investment sessions and invest more than those who do not use the AI tool. Interestingly, our further analyses document both positive and negative effects across heterogeneous investor groups.