Research

My research objective is to advance Business Analytics using Artificial Intelligence approaches (e.g., NLP, computer vision, machine learning, deep learning) thereby creating value from big data in data-intensive platforms (e.g., mobile, social media, advertising) and examining the impacts of AI in business and society.
Refereed Journal Publications (N=10) [Google Scholar] [SSRN] [DBLP] [ORCiD]

Han, Kookyoung, Jin Hyuk Choi, Yunsik Choi, Gene Moo Lee, Andrew B. Whinston (2023) Security Defense against Long-term and Stealthy Cyberattacks, Decision Support Systems, 166: 113912.

[NSF Award] [Best Paper Award at KrAIS 2017]

Kwark, Young, Gene Moo Lee, Paul A. Pavlou, Liangfei Qiu (2021) On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data, Information Systems Research, 32(3): 895-913.

[Data awarded by Wharton Customer Analytics Initiative]

Shin, Donghyuk, Shu He, Gene Moo Lee, Andrew B. Whinston, Suleyman Cetintas, Kuang-Chih Lee (2020) Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach, MIS Quarterly 44(4): 1459-1492. 

[Literature on visual data analytics] [MISQ curation]

Zhuang, Yunhui, Yunsik Choi, Shu He, Alvin C. M. Leung, Gene Moo Lee, Andrew B. Whinston (2020) Understanding Security Vulnerability Awareness, Firm Incentives, and ICT Development in Pan-Asia, Journal of Management Information Systems 37(3): 668-693.

[Literature on cybersecurity] [NSF Award]

Lee, Gene Moo, Shu He, Joowon Lee, Andrew B. Whinston (2020) Matching Mobile Applications for Cross-Promotion, Information Systems Research 31(3): 865-891.

[Data awarded by IGAWorks]

Song, Reo, Ho Kim, Gene Moo Lee, Sungha Jang (2019) Does Deceptive Marketing Pay? The Evolution of Consumer Sentiment Surrounding a Pseudo-Product-Harm Crisis, Journal of Business Ethics 158(3): 743-761.

[Featured in The Globe and Mail]

Park, Sunyeong, Gene Moo Lee, You-Il Kim, Jinny Seo (2018) Development of Topic Trend Analysis Model for Industrial Intelligence using Public Data, Journal of Technology Innovation 26(4): 199-232.

[Research demo site] 

Lee, Gene Moo, Liangfei Qiu, Andrew B. Whinston (2016) A Friend Like Me: Modeling Network Formation in a Location-Based Social Network, Journal of Management Information Systems 33(4): 1008-1033.

[Best Paper Nomination at HICSS 2016]

He, Shu, Gene Moo Lee, Sukjin Han, Andrew B. Whinston (2016) How Would Information Disclosure Influence Organizations’ Outbound Spam Volume? Evidence from a Field Experiment, Journal of Cybersecurity 2(1): 99-118.

[NSF Award]

Shi, Zhan, Gene Moo Lee, Andrew B. Whinston (2016) Toward a Better Measure of Business Proximity: Topic Modeling for Industry Intelligence, MIS Quarterly 40(4): 1035-1056.

[Research demo site] [MISQ curation]

  • I regularly present papers at IS conferences such as CIST, ICIS, WITS, DS, KrAIS, and HICSS. Before switching to the IS field, I published papers at Computer Science conferences.
  • Project reports, unpublished manuscripts, lecture notes
  • My work was covered in media outlets (e.g., The Globe and Mail, Huffington Post).
Selected Working Papers [All Working Papers]
  1. Park J, Aziz A, Lee GM (2024) Do Incentivized Reviews Poison the Well? Evidence from a Natural Experiment at Amazon.com, R&R, Information Systems Research.
  2. Lee M, Lee GM, Cavusoglu H, Seidel MDL (2024) Strategic Competitive Positioning: A Structural Hole-based Firm-level Opportunity Construct for Information Systems Research, R&R, Journal of Management Information Systems.
  3. Lee M, Sturm T, Lee GM (2024) Exploring the Influence of Machine Learning on Organizational Learning: An Empirical Analysis of Publicly Listed Organizations. Under Review.
  4. Park J, Lee M, Son Y, Lee GM (2024) The New Industrial Revolution: AI, Labor Unions, and the Future of Work. Under Review.
  5. Zhang X, Zhou M, Lee GM (2024) How Does AI-Generated Voice Affect Online Video Creation? Evidence from TikTok. Preparing for Journal Submission.
  6. Park J, Lee M, Lee GM (2024) The Effect of Mobile Device Management on Work-from-home Productivity: Insights from U.S. Public Firms. Preparing for Journal Submission.
  7. Park J, Lee M, Li JF, Lee GM (2024) Unpacking the AI Transformation: The Impact of AI Strategies on Firm Performance from the Dynamic Capabilities Perspective. Preparing for Journal Submission.
  8. Zhang X, Lee M, Zhou M, Lee GM (2024) News Speed vs. Quality: Investigating Large Language Models’ Impact on Modern Journalism. Preparing for Journal Submission.
  9. Kwon S, Park S, Lee GM, Lee D (2024) Digital Cupid: Empowering Generative AI for Fair and Efficient Matchmaking, Presented in ICIS 2022. [Last version: Jan 13, 2024]
Invited Academic Presentations [Full Information]
  • 2025: Delaware
  • 2024 (5): Sungkyunkwan, Temple, Santa Clara, Wisconsin Milwaukee, Seoul National.
  • 2023 (13): Yonsei, Dalhousie, Sungkyunkwan, POSTECH, Kyung Hee, Yonsei, Seoul National, POSTECH, Korea University of Science and Technology, Dalhousie, KAIST BTM.
  • 2022 (8): Arizona, George Mason, KAIST, Hanyang, Vancouver KDD, Kyung Hee Univ, McGill.
  • 2021 (11): HKUST, Saarland, Maryland, Korea Univ, American Univ, Kyung Hee, Chung-Ang, NUS, Tennesse Chattanooga, Rochester, KAIST, Yonsei
  • 2020 (5): Rutgers, Univ of Washington
  • 2019 (2): Simon Fraser
  • 2018 (4): UBC Information School, Rutgers, Arizona State, Korea Univ, Korea Insurance Research Institute (KIRI)
  • 2017 (3): Univ of North Texas, UT Arlington, Korea Institute of Science and Technology Information (KISTI)
  • 2016 (10): UT Arlington, SKKU, Korea Univ, Hanyang, Kyung Hee, Chung-Ang, Yonsei, Seoul National, Kyungpook National, UBC Sauder
  • 2015 (1): KAIST
  • 2014 (7): Notre Dame, Temple, UC Irvine, Indiana, UT Dallas, Minnesota, UT Arlington

Resources