Directory

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RESEARCH INTERESTS

• Substantive: Online Search, Advertising, Loyalty Programs, Recommendation System, User Generated Content, Social Network, Pricing, Complaints & Recalls, Product Assortments, Behavioral Economics, Big Data Analytics, AI

  
  

   

• Methodological: Topic Modeling, Natural Language Processing, Machine Learning, Deep/Graph Neural Networks, Bayesian Methods, Causal Inference, Lab/Field Experiments, Optimization

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PUBLICATIONS

• "The Daily Me versus The Daily Others: How Do Recommendation Algorithms Change User Interests? Evidence from a Knwoledge-Sharing Platform," Journal of Marketing Research, 60 (4), 767-791.
  - Featured in “My Journal Read” by American Marketing Association
  
  
• Liu, Jia, Olivier Toubia, and Shawndra Hill (2021), “Content-based Model of Web Search Behavior: An Application to TV Show Search,” Management Science, 67(10), 6378-6398.
  - Best paper award at the 2018 China Marketing International Conference
  - Media: HK Economic Times
• Liu, Jia, and Shawndra Hill (2021), “Frontiers: Moment Marketing: Measuring Dynamics in Cross-channel Ad Effectiveness,” Marketing Science, 40(1), January–February, pp. 13–22.
  - One of the first few papers accepted by the Marketing Science Frontiers section
  - Media: HK Economic Times
• Liu, Jia and Asim Ansari (2020) “Understanding Consumer Dynamic Decision Making Under Competing Loyalty Programs,” Journal of Marketing Research, April, 57(3), 422-444.
• Liu, Jia, and Olivier Toubia (2020) “Search Query Formation by Strategic Consumers,” Quantitative Marketing and Economics, 18, 155-194.
• Liu, Jia and Olivier Toubia (2018) “A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries,” Marketing Science, 37 (6), 930-952.
  - Appears in INFORMS Analytics Collections Vol. 16: Advances in Integrating AI & O.R
  - Winner, 2018 John Little award for best marketing paper published in Marketing Science, Management Science, or other INFORMS journal
  - Finalist, 2018 Frank M. Bass outstanding dissertation award
  - Chosen for INFORMS press release by Editor-in-Chief of Marketing Science

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REVIEWING FOR

Editoral board: Journal of Marketing Research, Marketing Science.