Identifying Regional Emerging Technologies Using Patent Information: Focus on Incheon Bio Industry

This study proposes a scientific methodology for regional technology strategy development by identifying emerging technologies through the analysis of patent information. Given the resource constraints often encountered by regions, it is essential to establish evidence-based strategies for efficient R&D planning. To overcome the limitations of previous research, we applied a combined approach utilizing topic modeling and CPC network analysis techniques, while also enhancing the reliability of our findings through validation by relevant experts. The results of our analysis identified key emerging technologies in the bio industry of Incheon, specifically in fields such as anti-cancer therapies, food, and biosimilars. These technology areas are currently in high demand on a global scale and are closely aligned with the strategic industrial infrastructure of Incheon. The findings of this study are expected to support the development of regional technology strategies and science and technology policies based on scientific evidence. Furthermore, the proposed methodology provides a practical framework for identifying emerging regional technologies, which can be adapted for use in other regions facing similar challenges. This framework not only facilitates informed decision-making for policymakers but also provides a systematic approach for regions aiming to enhance their technological competitiveness and innovation capabilities in a rapidly evolving global landscape.

Authors

Publication Details

Journal
Korean Management Science Review
Published
2024-09-30
DOI
https://doi.org/10.7737/kmsr.2024.41.3.069
Primary Topic
Entrepreneurship Studies and Influences
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying Regional Emerging Technologies Using Patent Information: Focus on Incheon Bio Industry

Hochull Choe, Ho-Yeol Yoon, Dongkwan Kim, Kyung-Sup Kim
Korean Management Science Review
Entrepreneurship Studies and Influences
article

Identifying Regional Emerging Technologies Using Patent Information: Focus on Incheon Bio Industry

Hochull Choe, Ho-Yeol Yoon, Dongkwan Kim, Kyung-Sup Kim
article en

Abstract

This study proposes a scientific methodology for regional technology strategy development by identifying emerging technologies through the analysis of patent information. Given the resource constraints often encountered by regions, it is essential to establish evidence-based strategies for efficient R&D planning. To overcome the limitations of previous research, we applied a combined approach utilizing topic modeling and CPC network analysis techniques, while also enhancing the reliability of our findings through validation by relevant experts. The results of our analysis identified key emerging technologies in the bio industry of Incheon, specifically in fields such as anti-cancer therapies, food, and biosimilars. These technology areas are currently in high demand on a global scale and are closely aligned with the strategic industrial infrastructure of Incheon. The findings of this study are expected to support the development of regional technology strategies and science and technology policies based on scientific evidence. Furthermore, the proposed methodology provides a practical framework for identifying emerging regional technologies, which can be adapted for use in other regions facing similar challenges. This framework not only facilitates informed decision-making for policymakers but also provides a systematic approach for regions aiming to enhance their technological competitiveness and innovation capabilities in a rapidly evolving global landscape.

Korean Management Science ReviewVol. 41(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Entrepreneurship Studies and Influences
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.