Kosuke Uetake studies digital markets, high-tech industries, and public policy in marketing. His research combines quantitative marketing, industrial organization, and applied microeconomics to understand how firms and consumers behave in platform and data-rich environments. His work examines online credit markets, product recommendations, customer engagement, pricing, salesforce incentives, market power, and merger dynamics.
Current projects study how AI, machine learning, and new data sources can improve marketing decisions while also raising policy questions about competition, information, and consumer welfare. His research has been recognized across government, management practice, and academia, including work cited in policy discussions and used to inform decisions in digital and high-tech markets.
