Kim, Y., Yoo, S. · 대한경영학회지 (Korean Academy of Management Journal) · 2026 39(2) , 401-420
This study empirically analyzes the impact of discussions on expanding the Broadcasting Development Fund levy on platform companies' stock prices using an event study methodology. Analyzing stock price reactions of 11 platform and 6 IT service companies across four major policy events from March 2024 to January 2025, we find that platform companies show significantly larger negative reactions than IT service companies. Notably, heterogeneous reactions are observed by firm size: large platforms show limited reactions, while mid-sized platforms are most negatively affected. We term this the Regulatory Sandwich Effect — mid-sized platforms lack the market power, bargaining leverage, capital access, and strategic flexibility of large platforms to absorb or pass on regulatory costs, yet remain subject to regulation unlike smaller firms. ANOVA results confirm significant tier differences at the 5-10% level across all regulatory events, suggesting nonlinear market impacts by firm size.
Kim, Y., Park, Y., Choi, J. · Journal of Information Technology Services (Journal of Information Technology Services) · 2019 18(1) , 89-102
This study analyzed the factors for the successful adoption of IoT services, focusing on iBeacon and Nearby technologies.
Kim, Y., Choi, J. · Journal of Korea Game Society (Journal of Korea Game Society) · 2015 15(6) , 103-114
This study analyzed the factors influencing switching intentions of social network game users.
Kim, Y., Park, Y., Choi, J. · Journal of Information Technology Services (Journal of Information Technology Services) · 2015 14(4) , 205-222
This study empirically analyzed the impact of dissatisfaction factors in smartphone application services on customer behavior.
Kim, Y., Choi, J., Kim, Y. S. · Journal of the Korean Operations Research and Management Science Society (Journal of the Korean Operations Research and Management Science Society) · 2014 39(4) , 19-33
This study evaluated the operational efficiency of Korean universities using Bootstrap DEA and Tobit Regression.