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Identifying Technology Opportunity Using a Dual-attention Model and a Technology-market Concordance Matrix

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  • MOTOHASHI Kazuyuki

Abstract

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 technology-market concordance matrices. Matrices were generated based on a group of high-growth companies that suggest new technologies and market opportunities in the automotive, electronics, and pharmaceutical industries.

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  • MOTOHASHI Kazuyuki, 2023. "Identifying Technology Opportunity Using a Dual-attention Model and a Technology-market Concordance Matrix," Discussion papers 23024, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:23024
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    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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