Lee, D., Anandasivam, G., Lee, D., Dongwook, S. (In Press). “Nudging Private Ryan: Mobile Micro-giving under Economic Incentives and Audience Effects”, MIS Quarterly

Manzoor, E., Chen, G., Lee, D., Smith, M. (In Press). “Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online”, Management Science

Zhang, S., Lee, D., Singh, P., Srinivasan, K. (In Press). “How Much Is an Image Worth? Airbnb Property Demand Estimation Leveraging Large Scale Image Analytics”, SSRN Electronic Journal

Hsu, P., Lee, D., Tambe, P., Hsu, D. (In Press). “Deep Learning, Text, and Patent Valuation”, SSRN Electronic Journal

Ahn, D., Lee, D., Hosanagar, K. (In Press). “Interpretable Deep Learning Approach to Churn Management”, SSRN Electronic Journal

Burtch, G., He, Q., Hong, Y., Lee, D. (In Press). “Peer Awards Retain New Users and Encourage Exploitation in Users’ Production of Creative UGC”, SSRN Electronic Journal

Lee, D., Hosanagar, K. (In Press). “How Do Product Attributes Moderate the Impact of Recommender Systems?”, SSRN Electronic Journal

Lee, D., Cheng, Z., Mao, C., Manzoor, E. (2024). “Guided Diverse Concept Miner (GDCM): Uncovering Relevant Constructs for Managerial Insights from Text”, Information Systems Research

Zhou, E., Lee, D. (2024). “Generative artificial intelligence, human creativity, and art.”, PNAS Nexus, 3 (3), pgae052-

Shi, Z., Liu, X., Lee, D., Srinivasan, K. (2023). “How Do Fast-Fashion Copycats Affect the Popularity of Premium Brands? Evidence from Social Media”, Journal of Marketing Research, 60 (6), 1027-1051

Hosanagar, K., Lee, D. (2023). “AI in Personalized Product Recommendations”, Management and Business Review

Burtch, G., He, Q., Hong, Y., Lee, D. (2022). “How Do Peer Awards Motivate Creative Content? Experimental Evidence from Reddit”, Management Science, 68 (5), 3488-3506

Zhang, S., Lee, D., Singh, P., Srinivasan, K. (2021). “What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features”, Management Science

Zhang, S., Lee, D., Singh, P., Mukhopadhyay, T. (2021). “EXPRESS: Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft”, Journal of Marketing Research 002224372110621-002224372110621

Wang, W., Zhao, H., Lee, D., Chen, G. (2021). “Machine Learning for Consumers and Markets”, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Lee, D., Hosanagar, K. (2021). “How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages?”, Management Science, 67 (1), 524-546

Proserpio, D., Hauser, J., Liu, X., Amano, T., Burnap, A., Guo, T., Lee, D., Lewis, R., Misra, K., Schwarz, E., Timoshenko, A., Xu, L., Yoganarasimhan, H. (2020). “Soul and machine (learning)”, Marketing Letters, 31 (4), 393-404

Liu, X., Lee, D., Srinivasan, K. (2019). “Large-Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning”, Journal of Marketing Research, 56 (6), 918-943

Lee, D., Hosanagar, K. (2019). “How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment”, Information Systems Research, 30 (1), 239-259

Burtch, D. (2019). “Peer Symbolic Awards Increase User Content Generation but Reduce Content Novelty”,

Lee, D., Hosanagar, K., Nair, H. (2018). “Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook”, Management Science, 64 (11), 5105-5131

Lee, D., Gopal, A., Lee, D. (2018). “Micro-Giving: On the Use of Mobile Devices and Monetary Subsidies in Charitable Giving”, Academy of Management Proceedings, 2018 (1), 15011-15011

Lee, D., Hosanagar, K. (2016). “When do Recommender Systems Work the Best?”, Proceedings of the 25th International Conference on World Wide Web

Hosanagar, K., Fleder, D., Lee, D., Buja, A. (2014). “Will the Global Village Fracture Into Tribes? Recommender Systems and Their Effects on Consumer Fragmentation”, Management Science, 60 (4), 805-823