How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: The semantic triz tool and case study
| Title: | How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: The semantic triz tool and case study |
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| Format: | Conference |
| Publication Date: | December 2013 |
| Description: | Competitive Technical Intelligence (CTI) addresses the landscape of both opportunities and competition for emerging technologies as the boom of Newly Emerging Science & Technology (NEST) - characterized by a challenging combination of great uncertainty and great potential - has become a significant feature of the globalized world. We have been focusing on the construction of a "NEST Competitive Intelligence" methodology, which blends bibliometric and text mining methods to explore key technological system components, current R&D emphases, and key players for a particular NEST. As an important part of these studies, this paper emphasizes the semantic TRIZ approach as a useful tool to represent "Term Clumping" results and apply them to Technology Roadmapping (TRM), with the help of semantic Problem & Solution (P&S) patterns. A greater challenge lies in the attempt to extend our approach into NEST Competitive Intelligence studies by using both inductive and purposive bibliometric approaches. Finally, an empirical study for Dye-Sensitized Solar Cells (DSSCs) is used to demonstrate these analyses. © AIT Austrian Institute of Technology GmbH Vienna 2013. |
| Ivan Allen College Contributors: | |
| Citation: | 1. 861 - 875. |
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