4.8 Article

Technology opportunity discovery (TOD) from existing technologies and products: A function-based TOD framework

期刊

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
卷 100, 期 -, 页码 153-167

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2015.04.012

关键词

Technology opportunity discovery (TOD); TOD framework; Existing technology; Existing product; Function; Technology intelligence

资金

  1. Ministry of Science, ICT and Future Planning
  2. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT and Future Planning [2012R1A1A1039303]
  3. National Research Foundation of Korea [2012R1A1A1039303] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Research into deriving technology opportunities from existing technologies or products (ETPs) is useful to technology-based firms, which have to expand their technology portfolios with limited resources. Therefore, this study proposes a function-based framework for technology opportunity discovery (TOD) from a firm's ETPs. This framework consists of: (1) a TOD knowledge base that structures information on products, technologies, and their functions, which has been extracted from 223,603 patents in various technical fields, and (2) a TOD logic that derives potential technology opportunities from an ETP using semantic functional similarities between technologies or products. This framework returns technology opportunities in terms of the four types of TOD paths: existing technology (eT) to technologies that can be developed by modifying eT, eT to products that can be produced by using eT, existing product (eP) to products that can be developed by modifying eP, and eP to technologies that can be adopted to improve eP. We implement the proposed framework in a prototype system, and demonstrate TOD cases, using several ETPs. This framework will contribute to creating systematic TOD based on current technological capability over a wide range of technologies, and become a basis for developing future automated technology intelligence systems. (c) 2015 Elsevier Inc. All rights reserved.

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