Journal
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT
Volume 29, Issue 10, Pages 1167-1180Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/09537325.2016.1277202
Keywords
Partner identification; Subject-Action-Object semantic analysis; term clumping; correlation mapping; problem & solution pattern; dye-sensitized solar cells (DSSCs)
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Funding
- General Programme of the National Natural Science Foundation of China [71373019, 71673024]
- National High Technology Research and Development Program of China [2014AA015105]
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Today's companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the basis of solution similarities that assist technology managers in understanding the relationships between research targets. First, we choose a thematic dataset that contains problems and quantitative data with relative topic terms. Then, we extract Subject-Action-Object semantic structures in a P&S pattern from the dataset, and identify various solutions to a technical problem, with each as a subject. In addition, we provide correlation mapping to visualise the text characters and identify R&D partners. Finally, we validate the proposed method through a case study of the dye-sensitized solar cells sector.
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