Jialie Chen Source Confirmed

OverviewAI-generated summary

Jialie Chen conducts research focused on understanding and modeling consumer behavior within online retail environments. Their work investigates strategies for enhancing mobile commerce, including the impact of pricing tactics and marketing solicitations on purchase decisions and return behaviors. Chen has developed structural models to analyze the relationships between purchases, returns, and targeted marketing strategies, aiming to optimize retail operations.

Further research by Chen explores the dynamics of learning and skill development in the context of software version upgrades and the integration of artificial intelligence. This includes examining how user visibility and AI strategies influence skill set formation. Chen's scholarly output includes 10 publications with 153 citations and an h-index of 5.

Chen has received federal funding from the National Science Foundation (NSF) for two awards totaling $256,771. One grant supports the organization of the 10th SIAM Central States Section Annual Meeting, and the other focuses on multiscale differential geometry approaches to protein interaction mechanisms. Chen also leads a research group at the University of Arkansas.

Metrics

• h-index: 5
• Publications: 10
• Citations: 153