Journal

Journal
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

Park, G., Kim, S., & Geum, Y. (2025) Developing data-driven QFD: A systemic approach to employing product manuals and customer reviews, IEEE Access, 13, 22380 – 22394

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 13, 8297 – 8309

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

2025

IEEE Access.

Kim, J., & Geum, Y. (2024) Identifying promising technologies considering technology convergence: A patent-based machine learning approach. IEEE Transactions on Engineering Management, 71, 15096 – 15109

Kim, J., & Geum, Y.

2024

IEEE Transactions on Engineering Management.

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

Lee, Y. & Geum, Y. (2023). Identifying patterns of mergers and acquisitions in startup: An empirical analysis using Crunchbase data, IEEE Access, 14, 42463 – 42472

Lee, Y. & Geum, Y.

2023

IEEE Access

Geum, Y., Farrukh, C., & Lee, S. (2023). An integrated framework for assessing the technology roadmapping process from multiple perspectives: The case at the sector level. Journal of Engineering and Technology Management, 67, 101732.

Geum, Y., Farrukh, C., & Lee, S.

2023

Journal of Engineering and Technology Management