Exploring how people adopt and interact with emerging technologies through behavioral analysis.
Assessing the value and adoption potential of emerging technologies by analyzing markets, user needs, and innovation dynamics.
Forecasting demand and supporting policy design for future mobility technologies such as autonomous vehicles, electric vehicles, shared mobility, and urban air mobility.
Industrial Policy Research
Evaluating economic feasibility and policy impact across diverse industries and technologies.
Enhancing service experience by analyzing customer feedback and unstructured text data.
Defense & Security Policy
Supporting defense acquisition and policy-making through rigorous cost-effectiveness and feasibility analysis.
(*corresponding author, † equal contribution)
[Under Review]
Kim, W., Park, T., Cho, Y., & Maeng, K.* (Major Revision). Hands off the wheel, hand off the choice? A discrete choice experiment on Trolley dilemma in autonomous vehicles. Travel Behaviour and Society.
Cho, J. & Maeng, K.* (Minor Revision). Analysis of Economic Impact of Urban Air Mobility Ecosystem using Input-Output Approach. Korean Society of Transportation.
Kim, H., Kim, J., Shin, J., & Maeng, K.* (Under Review). When Public Wi-Fi Becomes Junk: Estimating the Inconvenience Costs of Wi-Fi Interference in Urban Digital Infrastructure. Applied Economics.
Maeng, K., Jin, H., & Kim, W.* (Under Review). Technological and Non-Technological Determinants of Urban Air Mobility Adoption: Evidence from a choice experiment. Cities.
Park, C., Kim, S., Shin, J., & Maeng, K.* (Under Review). Consumer Preference for Mobility-as-a-Service(MaaS): Focusing on Service Components and Route Provision Methods. Business Strategy and the Environment.
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. International Journal of Human-Computer Studies.
[Working & Ongoing]
Kim, M., Cho, Y., & Maeng, K.* (Working). Understanding Consumer Preferences for Companion Robots: A Discrete Choice Experiment Approach.
Park, Y., Kim, S., Hwang, Y., Shin, J., & Maeng, K.* (Working). Pay to Stay or Leave? A Contingent Valuation Approach to Understanding Subscription Renewal and Churn Behavior.
Jin, H., Maeng, K.* (Working). A Topic Modeling Approach to Defining and Understanding Physical AI.
Lee, J., & Maeng, K.* (Working). Estimating the Social Inconvenience Costs of Fake and Low-Quality Information Generated by Generative AI.
Kim, S., & Maeng, K.* (Ongoing). Investigating consumer preference of AI clone.