Journal
SUSTAINABILITY
Volume 12, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/su12010136
Keywords
technology opportunity discovery; morphology analysis; unified structured inventive thinking; patent analysis
Funding
- Innovation Method Fund of China [2018IM020300]
- Humanities and Social Sciences Foundation of Ministry of Education in China [17YJC630091]
- Key Program of National Natural Science Foundation of China [U1904210-4]
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As innovative technology is being developed at an accelerated rate, the identification of technology opportunities is especially critical for both companies and governments. Among various approaches to search for opportunities, one of the most frequently used is to discover technology opportunity from patent data. In line with it, this paper aims to propose a hybrid approach based on morphological analysis (MA) and unified structured inventive thinking (USIT) for technology opportunity discovery (TOD) through patent analysis using text mining and Word2Vec clustering analysis to explore the intrinsic links of innovation elements. A basic morphology matrix is constructed according to patent information and then is extended using the innovation algorithms that are reorganized from USIT. Technology opportunities are analyzed at two layers to generate new technical ideas. To illustrate the research process and validate its utility, this paper selects the technology of coalbed methane (CBM) extraction as a use case. This hybrid approach contributes by suggesting a semi-autonomous and systematic procedure to perform MA for TOD. By integrating the innovation algorithms, this approach improves the procedure of value extension in MA.
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