Biography at a Glance
Karen Xie is an Associate Professor of Service Analytics at the Daniels College of Business, University of Denver. Her research focuses on the use of technology-driven innovations to empower services marketing.
Karen emerges as an interdisciplinary researcher, fusing research frameworks in marketing and information systems (IS) with analytical and machine learning models that adapt to the various service contexts, including sharing economy services, FinTech services and hospitality services. Her work is published or under revision with marketing, IS, and hospitality journals such as Management Science, Journal of Marketing, Cornell Hospitality Review, and Journal of Management Information Systems.
Her work has garnered praise both within the profession and beyond. Her article on “Monetizing managerial response on TripAdvisor: Performance implications across hotel classes” received the W. Bradford Wiley Memorial Research Award 2017, she was named a University of Denver Public Impact Fellow and received Daniels College of Business’s 2018 Scholarship of Discipline Award for Outstanding Research. Especially notable is her work on Airbnb, along with David Corsun and Cheri Young, which has helped Denver City Council to pass legislation on short-term rental services, earning national and regional media attention.
Prior to pursuing her academic career, Karen worked as an analyst at the strategy consulting group of Accenture, a technology management consulting company. During her tenure at DU, she has continued close collaborations with tech-savvy service industry leaders such as Expedia, Mars Incorporated, Unilever, UBS and Sage Hospitality.
Outside of work, Karen is an enthusiast for skiing. In winter she is often found on double-diamond ski runs in Colorado’s epic mountains. Karen holds a PhD from Temple University Fox School of Business, an MPhil from the Hong Kong Polytechnic University and a bachelor’s degree from Fudan University in Shanghai.
Areas of Interest
- Services analytics
- Peer-to-peer markets
- Digital marketing
- Quantitative Marketing
- Machine Learning
- Field Experiment