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作者:

Li, Xin (Li, Xin.) (学者:李欣) | Wu, Yundi (Wu, Yundi.) | Cheng, Haolun (Cheng, Haolun.) | Xie, Qianqian (Xie, Qianqian.) | Daim, Tugrul (Daim, Tugrul.)

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摘要:

With the high integration of science and technology development, how to early identify technology opportunity is crucial for the governments' and enterprises' research and development (R&D) strategic planning and inno-vation policy to gain a first-mover advantage in the market competition environment. Most researchers have applied Subject-Action-Object (SAO) semantic mining approach or outlier detection method to mine scientific papers or patent information for identifying technology opportunity. However, few researchers have combined information from both scientific papers and patents to identify technology opportunity by integrating SAO se-mantic mining and outlier detection method. Therefore, this paper proposes a research framework that uses scientific papers and patents as data resources, and integrates SAO semantic mining and outlier detection method to identify technology opportunity. In this framework, we first use the SAO semantic mining method to mine technical problems and solutions contained in scientific papers and patents respectively. Then we conduct comparative analysis to identify potential technology opportunity in the gaps between scientific papers and patents. Secondly, we use a outlier detection method to identify outlier points in scientific papers, and we incorporate the outlier points into the analysis scope of technology opportunity identification. Finally, we combine the results of SAO semantic mining method with outlier detection method, and use expert knowledge to identify technology opportunity. The triboelectric nanogenerator technology is selected as a case study to verify the feasibility of this framework. The results show that the framework can effectively and comprehensively identify technology opportunity from the two levels of technical problems and technical solutions. This paper contributes to technology opportunity study, and will be of interest to triboelectric nanogenerator technology R&D experts.

关键词:

Outlier detection Technology forecasting Triboelectric nanogenerator Text mining Subject -action -object semantic analysis Technology opportunity

作者机构:

  • [ 1 ] [Li, Xin]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Wu, Yundi]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Cheng, Haolun]Beijing Inst Graph Commun, Coll New Media, Beijing, Peoples R China
  • [ 4 ] [Xie, Qianqian]Leiden Univ, Ctr Sci & Technol Studies CWTS, Leiden, Netherlands
  • [ 5 ] [Daim, Tugrul]Portland State Univ, Portland, OR USA
  • [ 6 ] [Daim, Tugrul]Chaoyang Univ Technol, Taichung, Taiwan
  • [ 7 ] [Daim, Tugrul]Portland State Univ, Engn & Technol Management Dept, Portland, OR 97201 USA

通讯作者信息:

  • [Daim, Tugrul]Portland State Univ, Engn & Technol Management Dept, Portland, OR 97201 USA;;

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来源 :

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

ISSN: 0040-1625

年份: 2023

卷: 189

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:9

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SCOPUS被引频次: 26

ESI高被引论文在榜: 0 展开所有

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