In this fifth episode, we sit down with Dr. Xing Fang, who is a Lecturer in Marketing at Royal Holloway-University of London and recently published a research article in the Journal of Marketing. His research explores how information cues within recommender systems influence consumer search and purchase behavior on e-commerce platforms. We discuss key insights from his study and how businesses can optimize their recommender systems by strategically managing the information they present to consumers. Whether you’re an e-commerce professional, a researcher, or simply curious about how recommendations shape online shopping, this episode is packed with valuable takeaways.
Related article: Fang, X., Kim, S., & Chintagunta, P. K. (2025). Too Many or Too Few? Information Cues in Recommender Systems and Consequences for Search and Purchase Behavior. Journal of Marketing. https://doi.org/10.1177/00222429251326941
