Data-driven Service Innovation Lab
“At the Data-driven Service Innovation Lab, we conduct multifaceted research on the identification of promising technologies using data, the convergence and evolution of technology and services, the development of new business ideas and models, and strategic technology roadmapping.“
(Currently recruiting new members)
Data-driven technology and service innovation, business model innovation Service operations management and data-driven service analytics Data-based roadmapping and R&D managementor Projects
Research: Identifying promising technologies considering technology convergence: A patent-based machine learning approach, IEEE Transactions on Engineering Management (2024)
Research: Link prediction revisited: New approach for anticipating new innovation chances using technology convergence, IEEE Transactions on Engineering Management (2024)
Research: Kim, J., Kim, H., & Geum, Y. (2023). How to succeed in the market? Predicting startup success using a machine learning approach, Technological Forecasting and Social Change (2023)
Project: Development of a STAR-based methodology for predicting promising businesses under high uncertainty, National Research Foundation of Korea
Project: Development of a data-based product competitiveness evaluation framework for national strategic technologies, Korea Institute of Science and Technology Information (KISTI)
Project: Development of a technology evaluation framework, Hyundai NGV
Project: Development of next-generation technology planning methodology for discovering radical new technologies (RNT), National Research Foundation of Korea
Major corporations and industries
Contact to professor (yjgeum@snu.ac.kr)