Identifying R&D partners using SAO analysis: a case study of dye-sensitised solar cells
by Xuefeng Wang; Yun Fu; Ying Huang; Yuqin Liu; Donghua Zhu
International Journal of Technology Management (IJTM), Vol. 81, No. 1/2, 2019

Abstract: This paper proposes a systematic process to identify potential research and development (R&D) partners from a technological perspective based on subject-action-object (SAO) semantic analysis. Improvements to traditional methods are made by combining the SAO structure map and the collaboration network analysis. The SAO structure map reveals the technological development trends, organisations' research contributions and their research experiences in the field, which are the factors that indicate an organisation's R&D capabilities. Furthermore, we explore the organisation's collaboration statuses through collaborative network analysis and their collaborative publications, which make it easier to identify the organisation's sense of cooperation. Potential R&D partners are identified by examining the organisation's R&D capabilities and sense of cooperation. An exploratory study is conducted on dye-sensitised solar cells (DSSCs). The proposed method provides useful information for organisations (firms, institutions, universities, etc.) to identify potential R&D partners or make cooperation related policies.

Online publication date: Tue, 30-Jul-2019

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