基于SAO分析的R&D合作伙伴识别研究

汪雪锋, 付芸, 邱鹏君, 刘玉琴

科研管理 ›› 2015, Vol. 36 ›› Issue (10) : 19-27.

科研管理 ›› 2015, Vol. 36 ›› Issue (10) : 19-27.
论文

基于SAO分析的R&D合作伙伴识别研究

  • 汪雪锋1, 付芸1, 邱鹏君1, 刘玉琴2
作者信息 +

Identification of R&D partners based on SAO analysis

  • Wang Xuefeng1, Fu Yun1, Qiu Pengjun1, Liu Yuqin2
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文章历史 +

摘要

随着技术创新知识复杂性的不断增加和产品生命周期的不断缩短,企业需要拓宽知识基础来应对环境的快速变化,需要从外部寻求合作机会来改善企业内部创新过程或提升现有研发能力,因此,如何识别和选择合适的合作伙伴便成为企业的重点关注.本文提出了基于SAO分析的R&D合作伙伴识别方法,该方法通过提取文献标题及摘要中的SAO结构,绘制涵盖材料、技术与组件,以及目标等三个维度的SAO结构图,通过挖掘具有相似研发目标的机构,分析其互相合作的可能性及可能的合作方向,并以染敏太阳能电池技术(DSSCs)为案例开展研究,证实了该方法的可行性和有效性.

Abstract

With increasing complexity of technological innovation and decreasing of product lifecycle, enterprises should broaden their basic knowledge in order to deal with the quick changes of the environment. Also, the enterprises need to seek opportunities for cooperation from outside to improve the process of the enterprises' innovation or to promote existing R&D capability. Therefore, how to identify and select the right partners becomes the main point for enterprises. This paper aims at showing how to identify R&D cooperation partners for open innovation based on SAO analysis. This approach mainly consists in exacting SAO structures from the title and abstract of the literatures, building SAO structure map including these three dimensions: materials, technologies & components and goals, searching the organizations with similar goals and finally, analyzing the possibility of the cooperation among these organizations and also the potential cooperating directions. Dye-sensitized solar cells (DSSCs) research is used as the empirical study to verify the feasibility and effectiveness of the method.

关键词

SAO分析 / SAO结构图 / 合作伙伴识别 / 开放创新 / 染敏太阳能电池

Key words

SAO (Subject-Action-Object) analysis / SAO structure map / partner identification / open innovation / dye-sensitized solar cells (DSSCs)

引用本文

导出引用
汪雪锋, 付芸, 邱鹏君, 刘玉琴. 基于SAO分析的R&D合作伙伴识别研究[J]. 科研管理. 2015, 36(10): 19-27
Wang Xuefeng, Fu Yun, Qiu Pengjun, Liu Yuqin. Identification of R&D partners based on SAO analysis[J]. Science Research Management. 2015, 36(10): 19-27
中图分类号: C93.03   

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基金

国家自然科学基金面上项目(71373019);国防科技情报项目(JSJC201403).


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