Minjeong Ham

経営学部専任講師

Biography

Minjeong Ham received her Ph.D. in Information Systems from Yonsei University, Seoul, South Korea. She was a postdoctoral fellow at Korea University before joining NUCB in October 2024. Her research interests include Information Systems adoption and usage in digital business, especially in the E&M (Entertainment and Media) industry. She is currently interested in the transformative impact of emerging technologies, such as artificial intelligence and personalized algorithms, on the creative sector and content consumption behaviors. A significant aspect of her research centers on privacy concerns in personalized advertising, examining the delicate balance between user data protection and effective ad targeting.

Research Interests

Information Systems, Quantitative Analysis

Final Education

Ph.D., Yonsei University

Awards & Honours

(2023) Best Paper Award. Society of Interdisciplinary Business Research

Academic Papers

Minjeong Ham (2025) Personal data strategies in digital advertising: Can first-party data outshine third-party data?. International Journal of Information Management 80 :0268-4012
Minjeong Ham (2024) How does OTT social viewing relieve pandemic-related depressive symptoms? Investigating the moderated mediation model of social connectedness and network types. The Communication Review :10714421
Minjeong Ham (2023) Personalization, Privacy and Algorithms in Online Advertising. Yonsei University
Minjeong Ham (2021) The effects of internet proliferation on search engine and over-the-top service markets. Telecommunications Policy 45 (8) :03085961
Minjeong Ham (2021) Empirical study on video clip consumption: focusing on viewing habits and use motives. International Journal of Mobile Communications 19 (2) :1741-5217
Minjeong Ham (2020) Factors influencing viewing behavior in live streaming: an interview-based survey of music fans. Multimodal Technologies and Interaction 4 (3) :2414-4088

Grants

(2023) In the cookie-less future, will first-party data replace third-party data? a mixed-methods approach. National Research Foundation of Korea Primary Researcher