Molan Kim (김모란)
Associate Professor of Marketing
School of Business Administration
Ulsan National Institute of Science and Technology (UNIST)
Email: mkim@unist.ac.kr
Office: Business Building 114, Room 706-11
Phone: +82-52-217-3163
Associate Professor of Marketing
School of Business Administration
Ulsan National Institute of Science and Technology (UNIST)
Email: mkim@unist.ac.kr
Office: Business Building 114, Room 706-11
Phone: +82-52-217-3163
Hello! I am an Associate Professor of Marketing in the School of Business Administration at Ulsan National Institute of Science and Technology (UNIST), South Korea.
My research examines how emerging digital technologies—including artificial intelligence, social media, online platforms, and data-driven systems—reshape consumer behavior, customer relationships, and marketing strategy. In particular, I am interested in how consumers perceive, trust, and interact with AI-enabled services and digital interfaces, and how organizations can design more effective, engaging, and responsible technology-mediated customer experiences.
My broader research interests include AI marketing and human–AI interaction, digital marketing, quantum management, agentic commerce, synthetic biology and consumer acceptance, and marketing analytics. I employ a range of research methods, including experiments, econometric analysis, text and web analytics, and large-scale behavioral data analysis.
I received my Ph.D. in Marketing from the Terry College of Business at the University of Georgia and my M.S. and B.B.A. in Business Administration from Korea University. Before joining UNIST, I was a faculty member at the State University of New York at New Paltz.
Beyond academic research, I am interested in translating marketing and consumer insights into meaningful managerial and societal impact. I welcome opportunities for industry–academic collaboration, corporate research projects, executive education and invited lectures, advisory engagements, and collaborative publications. I am particularly interested in working with organizations seeking to better understand AI-enabled customer experiences, digital transformation, consumer trust, and data-driven marketing strategy.