Identifying technology opportunity using dual-attention model and technology-market concordance matrix*

被引：7

作者：

Motohashi, Kazuyuki ^{[1
,2
,3
]}

Zhu, Chen ^{[1
]}

机构：

[1] Univ Tokyo, Dept Technol Management Innovat, Hongo 7-3-1 Bunkyo Ku, Tokyo, Japan

[2] Univ Tokyo, Res Ctr Adv Sci & Technol, Tokyo, Japan

[3] Res Inst Econ Trade & Ind RIETI, Tokyo, Japan

来源：

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 2023年 / 197卷

关键词：

Technology opportunity discovery; Dual attention model; Technology market concordance; RESEARCH-AND-DEVELOPMENT; EMERGING TECHNOLOGIES; PRODUCTS; STRATEGIES; DISCOVERY;

D O I：

10.1016/j.techfore.2023.122916

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

To understand the role of new technologies in innovation, it is crucial to develop a methodology that links technology and market information. Conventionally, the relationship between technology and the market has been analyzed using a technology-industry concordance matrix, but the granularity of market information is confined by industrial classification systems. In this study, we propose a new methodology for extracting keyword-level market information related to firms' technology. Specifically, we developed a dual-attention model to identify technical keywords from firms' websites. We then vectorized the market information (extracted keywords) and technology information (patents) using word embedding to construct technologymarket concordance matrices. Matrices were generated based on a group of high-growth companies to suggest new technologies and market opportunities in the automotive, electronics, and pharmaceutical industries. Finally, two novel indicators are introduced to demonstrate the model's capability in identifying opportunities at the company level.

引用

页数：13

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