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Identifying R&D partners using SAO analysis: a case study of dye-sensitised solar cells
International Journal of Technology Management ( IF 2.8 ) Pub Date : 2019-01-01 , DOI: 10.1504/ijtm.2019.10022057
Donghua Zhu , Yuqin Liu , Xuefeng Wang , Yun Fu , Ying Huang

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.

中文翻译:

使用SAO分析确定研发合作伙伴:染料敏化太阳能电池的案例研究

本文提出了一种系统的过程,该过程可以基于主体-作用-对象(SAO)语义分析从技术角度识别潜在的研发(R&D)合作伙伴。通过结合SAO结构图和协作网络分析对传统方法进行了改进。SAO结构图揭示了技术发展趋势,组织的研究贡献及其在该领域的研究经验,这些都是表明组织研发能力的因素。此外,我们通过协作网络分析及其协作出版物来探索组织的协作状态,从而更容易确定组织的合作意识。通过检查组织的R&D来确定潜在的R&D合作伙伴 D的能力和合作意识。对染料敏化太阳能电池(DSSC)进行了探索性研究。所提出的方法为组织(公司,机构,大学等)确定潜在的研发合作伙伴或制定与合作相关的政策提供了有用的信息。
更新日期:2019-01-01
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