Research

(*corresponding author,  † equal contribution) 

[Under Review]

• Cho, J. & Maeng, K.* (Minor Revision). Analysis of Economic Impact of Urban Air Mobility Ecosystem using Input-Output Approach. Korean Society of Transportation.

• Park, C., Kim, S., Shin, J., & Maeng, K.* (Major Revision). Integrating Environmental Value into Mobility-as-a-Service: Behavioral Insights for Sustainable Mobility Strategy. Business Strategy and the Environment.

• Kim, H., Kim, J., Shin, J., & Maeng, K.* (Major Revision). When Public Wi-Fi Becomes Junk: Estimating the Inconvenience Costs of Wi-Fi Interference in Urban Digital Infrastructure. Applied Economics.

• Joo, S., Jung, Y., Yeon, J., Shin, J., Lee, D., Maeng, K., & Lee, H.,*  (Under Review).  Designing Effective Financial Information Delivery in the Era of Information Overload: Consumer Preferences for Messaging-Based Service Attributes. Information Processing & Management.

• Kim, W., Jin, H., & Maeng, K.* (Under Review). Facilitating sustainable urban air mobility: The role of social influence and human oversight in consumer adoption. Transportation Research Part D: Transport and Environment.

• Kim, M., Cho, Y., & Maeng, K.* (Under Review). Why smarter robots do not always diffuse: Consumer preferences, autonomy paradox , and market scenarios for Companion robots. Technological Forecasting and Social Change.

• Park, Y., Kim, S., Hwang, Y., Shin, J., & Maeng, K.* (Under Review). Pay to Stay or Leave? A Contingent Valuation Approach to Understanding Subscription Renewal and Churn Behavior. Journal of Retailing and Consumer Services.

[Working & Ongoing]

• Jin, H., Kim, M.*, Maeng, K.* (Working). Mapping the Knowledge Structure of Physical AI: A Data-Driven Systematic Review.

• Jung, M., & Maeng, K.* (Working). Technology Gap and Operational Efficiency: A Meta-Frontier Analysis of AI Adopters vs. Non-Adopters in Korean SMEs.

• Lee, J., Lee, J., & Maeng, K.* (Working). Estimating the Social Inconvenience Costs of Fake and Low-Quality Information Generated by Generative AI.

• Kim, W., Cho, H., Lee, J., & Maeng, K.* (Working). Predicting Market Share for Medical Subscription Services: A Discrete Choice Experiment and Simulation Study 

• Choi, I., & Maeng, K.* (Ongoing). Identifying Key Quality Factors in Music Streaming Recommendation Systems: A Text Mining and Sentiment Analysis Approach on User Reviews.

• Kim, S., & Maeng, K.* (Ongoing). Consumer Preferences and Willingness-to-Pay for Subscription-Based AI Clone Services: A Conjoint Analysis Approach.