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构建全球开放式创新研究的框架。

Framing the structure of global open innovation research.

作者信息

Su Hsin-Ning, Lee Pei-Chun

机构信息

Institute of Technology Management, National Chung Hsing University, 250 KuoKuang Road, Taichung 402, Taiwan.

Science and Technology Policy Research and Information Center, National Applied Research laboratories, 14 F., No. 106, Sec. 2, He-Ping E. Rd., Taipei 106, Taiwan.

出版信息

J Informetr. 2012 Apr;6(2):202-216. doi: 10.1016/j.joi.2011.12.001. Epub 2012 Feb 22.

DOI:10.1016/j.joi.2011.12.001
PMID:32362933
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7185881/
Abstract

This study proposes a way of mapping open innovation research structure by quantitatively analyzing open innovation research papers retrieved from Web of Science database. A total of 130 papers are retrieved in this study and 62 papers which contain keywords are chosen for research structure visualization. Open innovation research networks are quantitatively investigated by combining network theory and keyword co-occurrence. Contour maps of open innovation are also created on the basis of networks for visualization. The networks and contour maps can be expressed differently by choosing different information as the main actors, such as the paper author, the institute, the country or the author-keywords, to reflect open innovation research structures in micro, meso, and macro-levels, respectively. The quantitative ways of exploring open innovation research structure are investigated to unveil important or emerging open innovation components as well as to demonstrate visualization of the structure of global open innovation research. The quantitative method provided in this project shows a possible way of visualizing and evaluating research community structure and thus a computerized calculation is possible for potential quantitative applications on open innovation research management, e.g. R&D resource allocation, research performance evaluation, and science map.

摘要

本研究提出了一种通过定量分析从科学网数据库检索到的开放式创新研究论文来绘制开放式创新研究结构的方法。本研究共检索到130篇论文,并选择了62篇包含关键词的论文用于研究结构可视化。通过结合网络理论和关键词共现对开放式创新研究网络进行定量研究。还基于网络创建了开放式创新的等高线图以进行可视化。通过选择不同的信息作为主要元素,如论文作者、机构、国家或作者关键词,网络和等高线图可以有不同的表示方式,分别反映微观、中观和宏观层面的开放式创新研究结构。研究探索开放式创新研究结构的定量方法,以揭示重要或新兴的开放式创新组成部分,并展示全球开放式创新研究结构的可视化。本项目提供的定量方法展示了一种可视化和评估研究群体结构的可能方式,因此对于开放式创新研究管理中的潜在定量应用,如研发资源分配、研究绩效评估和科学图谱,进行计算机化计算是可能的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/aa3f8cd7428e/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/6339c75a351e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/638f88c85945/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/89355916ec70/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/df7fe2167d5c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/aab52e2c5fff/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/df636d9d74fa/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/80266b33cc34/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/1fdd3b092d14/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/aa3f8cd7428e/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/6339c75a351e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/638f88c85945/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/89355916ec70/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/df7fe2167d5c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/aab52e2c5fff/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/df636d9d74fa/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/80266b33cc34/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/1fdd3b092d14/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf4/7185881/aa3f8cd7428e/gr9.jpg

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