Professor
Gunwoong Lee
Information Systems
Korea University Business School
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Professor
Information Systems
Korea University Business School
I am an Associate Professor of Information Systems at Korea University Business School. My research focuses on Artificial Intelligence, IT and Societal Outcomes, and Business Analytics, investigating how AI applications and digital technologies impact local economies, consumer behaviors, and business ecosystems.
Prior to joining Korea University in 2020, I served as a faculty member at Sungkyunkwan University (2017–2020) and Nanyang Technological University in Singapore (2015–2017). I received my Ph.D. in Information Systems from Arizona State University in 2015.
My work has been published in leading journals including MIS Quarterly, Information Systems Research, Journal of the Association for Information Systems, Journal of Management Information Systems, and Expert Systems with Applications. I also serve as a Director Board member at the KU ESG Research Institution and have consulted for companies including NAVER, Kakao Mobility, LG Electronics, Samsung Electronics, NAVER WebToon, Hospitals, Banks, Law Firms, Concsulting Frims and Goverment Agencies.
Impact of AI applications on local economies, AI-based recommendations on consumer behaviors, role of generative AI in business, and AI ethics.
Impact of digital technologies on local economies, digital piracy, digital divide, data privacy regulations (GDPR), and network neutrality.
Big data analytics on mobile platforms, digital innovation, sharing economy, and data-driven business strategies.
Journal of Association Information Systems (JAIS)
MIS Quarterly, Forthcoming.
Information Systems Research, 36(2), 669–689.
Information Systems Review, 27(1), 1–33.
Information Systems Review, 24(3), 43–68.
Information Systems Review, 24(3), 1–21.
Journal of Korea Advertising Society, 33(1), 29–42.
Information Systems Review, 23(3), 77–96.
Expert Systems with Applications, 184, 115480.
Korean Journal of Business Administration, 33(8), 1459–1473.
Information Systems Review, 21(2), 69–89.
Journal of the Association for Information Systems (JAIS), 19(3), 308–327.
Journal of Management Information Systems (JMIS), 31(2), 133–170.
Decision Support Systems (DSS), 46(4), 755–762.
R&R at Information Systems Research (ISR)
R&R at Production and Operations Management (POMS)
Journal of Management Information Systems (JMIS)
Information Systems Research (ISR)
Information Systems Research (ISR)
Information Systems and E-Business Management
ICIS 2025.
PACIS 2025.
HICSS 2024, 1806–1816.
ICIS 2024.
ICIS 2024.
PACIS 2024.
WITS 2023, Hyderabad, India.
HICSS 2023, 3942–3951.
HICSS 2023, 4338–4347.
ICIS 2023.
ICIS 2023, Hyderabad, India.
WITS 2022, Denmark.
SCECR 2022, Madrid, Spain.
WISE 2021, Austin, TX.
PACIS 2020, p. 214.
Post-ICIS KrAIS Workshop 2019, Munich, Germany.
AMCIS 2019.
AMCIS 2019, Cancun, Mexico.
ICIS 2018, San Francisco.
PACIS 2018, Japan.
ICIS 2017, Seoul, Korea.
WISE 2017, Seoul, Korea.
AMCIS 2017, Boston, MA.
ICIS 2016, Dublin, Ireland.
Post-ICIS LG CNS/KrAIS Workshop 2016, Dublin, Ireland.
Post-ICIS LG CNS/KrAIS Workshop 2015, Fort Worth, TX.
INFORMS 2014, San Francisco, CA.
Post-ICIS LG CNS/KrAIS Workshop 2013, Milan, Italy.
Pre-ICIS Workshop for MISQ Special Issue, Milan, Italy.
AMCIS 2012, Seattle, WA.
AMCIS 2011, Detroit, MI.
PACIS 2007, Auckland, New Zealand.
WEB 2007, Montreal, Canada.
Introduction to data analytics methods, tools, and applications for solving real-world business problems.
Foundations of artificial intelligence and its practical applications in business strategy, operations, and decision-making.
Fundamentals of information systems and their strategic role in modern business organizations.
Advanced AI methodologies including deep learning, NLP, and generative AI applied to business research and practice.
Advanced topics in machine learning, statistical modeling, and data-driven decision-making for business applications.
Research methodologies, current topics, and emerging trends in information systems research.
Our lab studies the intersection of data analytics, digital innovation, and online platforms. We investigate how digital technologies transform business ecosystems, from mobile app markets and e-commerce platforms to live streaming commerce and sharing economy services. We welcome motivated students who are passionate about data-driven research in information systems.
Online Platforms & Digital Commerce
Financial APIs & Digital Customer Experience
Virtual Queues & Local Economies
AI Advertising & Business Innovation
AI Advertising Product Portfolio
AI Skills
If you are interested in joining our lab, please send your CV and a brief statement of research interests to leegw@korea.ac.kr.
"Consumer Evaluation of Digital Product Innovations" accepted at MIS Quarterly, a premier IS journal.
"Impact of the General Data Protection Regulation on the Global Mobile App Market" published in ISR, 36(2).
Co-developed the DCXI model with the Korean Standards Association (KSA) and Korea University CDTB, evaluating digital customer experience across industries. [KSA]
Published an opinion piece on the Fair Trade Commission's Platform Competition Promotion Act, arguing it could create reverse discrimination against domestic platforms and accelerate threats from foreign e-commerce to local small businesses. [Article]
Presented research at the Korean Media Management Association showing Naver Webtoon's AI-based 'Toon Raider' delays illegal distribution by approximately 25 days. [Economist]
Interviewed by the Anti-Corruption & Civil Rights Commission (ACRC) on AI regulation trends, corporate compliance, fairness, transparency, and data privacy. [ACRC]
Arizona State University
Purdue University
Korea University
Korea University
Korea University Business School
Korea University Business School
Sungkyunkwan University
Nanyang Technological University, Singapore
Arizona State University
Business School Main Building 405
Korea University, Seoul
Mon & Wed
1:00 PM — 2:00 PM