1. Hai Che, K. Sudhir and P.B. Seetharaman “Bounded Rationality in Pricing Under State Dependent Demand: Do Firms Look Ahead? How Far Ahead?”, August 2007, Journal of Marketing Research, Vol. 44, No.3, pp. 434-449. https://doi.org/10.1509/jmkr.44.3.434
2. Tülin Erdem, Kannan Srinivasan, Wilfred Amaldoss, Patrick Bajari, Hai Che, Teck Ho, Wes Hutchinson, Michael Katz, Michael Keane, Robert Meyer and Peter Reiss, “Theory-driven Choice Models”, December 2005, Marketing Letters, Volume 16, Numbers 3-4, pp225-237; https://doi.org/10.1007/s11002-005-5887-z
3. P.B. Seetharaman and Hai Che “Price Competition in Markets with Consumer Variety-seeking”, July 2009, Marketing Science, 28(3), 516-525. https://doi.org/10.1287/mksc.1080.0434
4. Hai Che and P.B. Seetharaman, “Speed of Replacement: Modeling Brand Loyalty Using Last-Move Data”, August 2009, Journal of Marketing Research, 46 (4), 494-505. https://doi.org/10.1509/jmkr.46.4.494
5. Hai Che, Chakravarthi Narasimhan and V. Padmanabhan “Leveraging Uncertainty through Backorder”, 2010, Quantitative Marketing and Economics, 8, pp365–392. https://doi.org/10.1007/s11129-010-9086-8
6. Hai Che, Xinlei Chen, and Yuxin Chen “Investigating Effects of Out-of-Stock on Consumer Stockkeeping Unit Choice”, August 2012, Journal of Marketing Research, 49(4), pp. 502-513. https://doi.org/10.1509/jmr.09.0528
7. Hernan Bruno, Hai Che, and Shantanu Dutta “Role of Reference Price on Price and Quantity: Insights from Business-to-Business Markets”, October 2012, at Journal of Marketing Research, Vol XLIX (October 2012), 640-654. https://doi.org/10.1509/jmr.09.0334
8. Hai Che, Tülin Erdem and T. Sabri Oncü “Consumer Learning and Evolution of Consumer Brand Preferences”, September 2015, Quantitative Marketing and Economics, Volume 13, Issue 3, Page 173-202. (Lead Article) https://doi.org/10.1007/s11129-015-9158-x
9. Chunhua Wu, Hai Che, Tat Chan and Xianghua Lu “The Economic Values of Online Reviews”, August 2015, Marketing Science 34(5):739-754. https://doi.org/10.1287/mksc.2015.0926
10. Yoonju Han & Sandeep R. Chandukala & Hai Che, 2017. "Exchange and refund of complementary products," Marketing Letters, Springer, vol. 28(1), pages 113-125, March. https://doi.org/10.1007/s11002-015-9393-7
11. Zhenling Jiang, Tat Chan, Hai Che and Youwei Wang “Consumer Search and Purchase: An Empirical Investigation of Search-Based Retargeting”, 2021, Marketing Science, Volume 40, Issue 2, Pages 219-240
12. Savannah Wei Shi, Hai Che, and Lang Jin. "Strategic Product Displays Across Different Assortment Levels." Customer Needs and Solutions 8, no. 3 (2021): 84-101.
13. Shengsheng Xiao, Chad Ho and Hai Che (contributed equally and listed in reverse alphabetic order) "Building the Momentum: Information Disclosure and Herding in Reward-based Crowdfunding", 2020, Production and Operations Management 30.9 (2021): 3213-3230.
14. Zheng, D., Chen, Y., Zhang, Z., & Che, H. (2022). Retail price discount depth and perceived quality uncertainty. Journal of Retailing, 98(3), 542–557. https://doi.org/10.1016/j.jretai.2021.12.001
15. Karmakar, B., Liu, P., Mukherjee, G., Che, H., & Dutta, S. (2021). Improved retention analysis in freemium role‐playing games by jointly modelling players’ motivation, progression and churn. Journal of the Royal Statistical Society: Series A (Statistics in Society), 185(1), 102–133. https://doi.org/10.1111/rssa.12730
16. Trambak Banerjee, Peng Liu, Gourab Mukherjee, Shantanu Dutta, and Hai Che "Joint modeling of playing time and purchase propensity in massively multiplayer online role playing games using crossed random effects" 2023 Annals of Applied Statistics, 17(3): 2533-2554 (September 2023). https://doi.org/10.1214/23-AOAS1731
17. Kim, Chul, Dong Soo Kim, Max Joo, and Hai Che (2024) Theory-Regularized Deep Learning for Demand-Curve Estimation and Prediction. Proceedings of the IEEE International Conference on AI for Business.
18. Puranam, D., Kim, S., Hong, J., & Che, H. (2021), “Are We Worse Off After Policy Repeals? Evidence from Two Green Policies.” Forthcoming at the Journal of Marketing Research
Associate Editor:
Journal of the Academy of Marketing Science
Editorial Board:
Information System Research (2023-2025)
Customer Needs and Solutions
Ad Hoc reviewer for:
Marketing Science
Management Science
Journal of Marketing Research
Journal of Marketing
Quantitative Marketing and Economics
Journal of Retailing
Manufacturing and Service Operations Management
Production and Operations Management
Decision Science
Journal of Business Research
Information System Review
International Journal of Industrial Organization
Others:
Reviewer for MSI’s Alden G. Clayton Doctoral Dissertation Proposal Competition (2008-2012)
Reviewer for the Hong Kong Research Grants Council (2010-present)
2025 Outstanding Area Editor, Journal of the Academy of Marketing Science
2023 Outstanding Reviewer, Journal of the Academy of Marketing Science
2019-2020 University of California Innovative Learning Technology Award ($110,000)
2015 Best Paper Award at 2015 International Conference of Asian Marketing Association
2015-2018 China’s National Science Foundation Grant for Collaboration with Overseas Researcher (Principal Investigator)