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Identifying R&D partners using SAO analysis: A case study of dye-sensitised solar cells

  • Xuefeng Wang
  • , Yun Fu*
  • , Ying Huang
  • , Yuqin Liu
  • , Donghua Zhu
  • *此作品的通讯作者
    • CAS - National Science Library
    • Hunan University
    • Beijing Institute of Graphic Communication
    • Beijing Institute of Technology

    科研成果: 期刊稿件文章同行评审

    摘要

    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.

    源语言英语
    页(从-至)70-93
    页数24
    期刊International Journal of Technology Management
    81
    1-2
    DOI
    出版状态已出版 - 2019

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