Identifying R&D partners through Subject-Action-Object semantic analysis in a problem & solution pattern

• Published in: Technology analysis & strategic management Vol. 29; no. 10; pp. 1167 - 1180
• Main Authors: Wang, Xuefeng, Wang, Zhinan, Huang, Ying, Liu, Yuqin, Zhang, Jiao, Heng, Xiaofan, Zhu, Donghua
• Format: Journal Article
• Language: English
• Published: Abingdon Routledge 26.11.2017; Taylor & Francis Ltd
• Subjects: correlation mapping; Data; Dye-sensitized solar cells; dye-sensitized solar cells (DSSCs); Mapping; Partner identification; Photovoltaic cells; problem & solution pattern; R&D; Research & development; Semantics; Subject-Action-Object semantic analysis; Technology; term clumping

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 (...