Journal

Journal
Park, G., Kim, S., & Geum, Y. (2025). Developing data-driven QFD: A systemic approach to employing product manuals and customer reviews. IEEE Access.

Park, G., Kim, S., & Geum, Y.

2025

IEEE Access.

Kim, J., Park, G., Woo, M., & Geum, Y. (2025). How big data has changed technology roadmapping: a review on data-driven roadmapping. IEEE Access.

Kim, J., Park, G., Woo, M., & Geum, Y.

2025

IEEE Access.

Park, Y., Kim, N., & Geum, Y. (2025). Finding innovation patterns of mobile services using update histories: a data-driven taxonomy approach. Technology Analysis & Strategic Management, 1-19.

Park, Y., Kim, N., & Geum, Y.

2025

Technology Analysis & Strategic Management,

Kim, J., & Geum, Y. (2024). Identifying promising technologies considering technology convergence: A patent-based machine learning approach. IEEE Transactions on Engineering Management.

Kim, J., & Geum, Y.

2024

IEEE Transactions on Engineering Management.

Lee, Y., & Geum, Y. (2023). Identifying patterns of mergers and acquisitions in startup: an empirical analysis using crunchbase data. IEEE Access, 11, 42463-42472.

Lee, Y. & Geum, Y.

2023

IEEE Access

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, 193, 122614

Kim, J., Kim, H., & Geum, Y.

2023

Technological Forecasting and Social Change

Han, J., Jeon, B. & Geum, Y. (2022) Link Prediction Revisited: New Approach for Anticipating New Innovation Chances Using Technology Convergence, IEEE Transactions on Engineering Management

Han, J., Jeon, B. & Geum, Y.

2022

IEEE Transactions on Engineering Management