Yonghee Kim
Assistant Professor, Department of Business Administration, Sunmoon University
I study how digital platforms reshape media markets and what that means for public policy. My work sits at the intersection of media economics, platform regulation, and data science—using econometric methods and input-output analysis to evaluate broadcasting industry structure, OTT market dynamics, and ICT efficiency in Korea.
I teach at Sunmoon University and direct the Daeyeon Industrial Policy Institute. I also write policy commentary for The Electronic Times and cofounded OpenRoute, a consultancy bridging academic research and industry practice.
Recent Research
- Why subscribers cut the cord: A study of the migration from pay-TV to OTT services through the push-pull-mooring framework
- From broadcast to mobile: Cross-channel effects in home shopping platforms
- Platform Power Under Asymmetric Market Evolution: Evidence from Korean Home Shopping
Recent Blog Posts
- AI Regulation Across Three Legislatures: A Cross-Country Comparative Analysis of Korea, the EU, and the United States
- Discussion on "Industrializing K-Media Content as a National Strategic Industry: Direction and Policy Tasks"
- Received Appreciation Award from KOBACO Media & Advertising Research Institute
Current Projects
- Statistical Evidence for Asymmetric Fund Burden on Cable SO Operators
- Sports Broadcasting Rights in the Platform Era
- Korean Film Holdback Analysis: Maximizing Revenue Across Distribution Windows
Media Intelligence
AI-curated briefing on global media & entertainment industry — 297 articles aggregated from 3+ multi-source stories.
넷플릭스 공동창업자 리드 헤이스팅스가 4월 16일(현지) Q1 2026 실적 발표와 동시에 이사회를 떠난다고 공지했다. 효력은 6월 4일 연차주주총회일이며, 헤이스팅스는 재임명을 신청하지 않고 자선사업과 Anthropic·Bloomberg 이사 활동에 집중하기로 했다. 1997년 공동창업 이후 CEO(~2023), 이그제큐티브 체어맨(~2026.6)을 거친 29년 궤적의 마무리다. 공동 CEO 테드 사란도스와 그레그 피터스는 '사심 없고 규율 ...
Journal Intelligence
Weekly briefing on 95 tracked academic journals — CFPs, editor changes, trending research, and notable papers.
Nature published a landmark large-scale analysis of 41.3 million research papers showing that scientists who adopt AI tools publish 3.02× more papers and receive 4.84× more citations, but the collective scientific agenda is contracting as topics converge. Paired with a second Nature paper introducing 'The AI Scientist'—a system that drafts hypotheses, runs experiments, writes manuscripts, and performs its own peer review, which passed first-round review at a top-tier ML workshop—the April 2026 issue signals that AI-mediated research is now both individually rational and collectively narrowing.
Nature (A등급, IF 64.8) · 47 citations