Shu He's research seeks to understand the economics of information systems, with an emphasis on the impact of emerging technologies on firms and society using econometric analysis, machine learning techniques and randomized field experiment tools. Shu's current research interests focus on social media, digital platforms and the societal implication of IT.
Areas of Expertise (4)
Social Media Analytics
Media Appearances (1)
Meet Warrington’s new faculty for 2022
UF Warrington College of Business online
The Warrington College of Business is proud to welcome 11 new faculty members to campus in the 2022-2023 academic year. Learn more about these outstanding new members of the Warrington team who will continue to strengthen the college’s reputation and prepare our students for success.
Ride-to-health: the impact of ridesharing on patients’ emergency care accessUniversity of Connecticut School of Business Research Paper
Ayush Sengupta, et. al
Transportation has been one of the obstacles preventing people from timely and appropriate access to healthcare. Emergency Department (ED), which provides around-the-clock care for illnesses and injuries, including life-threatening ones, is known as the “safety net” of the healthcare system.
Mobile app adoption and its differential impact on consumer shopping behaviorProduction and Operations Management
Sulin Ba, et. al
The mobile application (app) market is one of the fastest growing markets in recent years. In this study, we investigate how app adoption changes customers' hotel booking behaviors using a dataset of around 16,000 randomly selected customers' hotel booking and stay information from one of the largest hotel chains in China. Our analyses find that customer purchase frequency and total sales increased after app adoption.
Surge pricing and short-term wage elasticity of labor supply in real-time ridesharing marketsForthcoming in MIS Quarterly
Shu He, et. al
The prominence of real-time ridesharing services, such as Uber and Lyft, has dramatically changed the landscape of traditional industries. This study provides a comprehensive analysis of the short-term wage elasticity of labor supply in real-time ridesharing markets using data from a major ridesharing platform in China.