This paper investigates whether and which type of AI academic research in universities can create regional knowledge spillover effects that improve the quantity and quality of start-ups. This study counts 14 premium conference publications in AI subfields, including computer vision, natural language processing, and data mining. Using data of start-ups from Crunchbase.com and AI conference publications from CSRankings.com, we find that knowledge spillovers from university AI research indeed contribute to the creation and enhancement of venture capital financing performance of local start-ups at the MSA level in the United States. Moreover, our results suggest that high interdisciplinary AI knowledge spillovers are more likely to contribute to the creation of start-ups. We also find significant heterogeneous effects of knowledge spillovers in different AI subfields. In addition, the knowledge spillovers from theoretical AI research and impactful AI research have stronger effects on the creation of start-ups, compared to knowledge spillovers from applied AI research.
Ms. Qi Wang is a PhD candidate in Department of Information Systems & Analytics at National University of Singapore (NUS). Her research focuses on Economics of Information Systems, Artificial Intelligence, Labor Economics, IT Labor Mobility, and IT Entrepreneurship. Her papers have been published in Management World and Journal of Management Sciences in China while her ongoing research has under the 3rd round review from MIS Quarterly and IEEE Transactions on Engineering Management. She has also published several leading conference papers in ICIS. Qi Wang received her bachelor’s degree from South China University of Technology.