Computer-assisted roadmapping: A case study in energy research

Computer-assisted roadmapping: A case study in energy research
复制标题

DOI:
10.1108/14636681011035726
复制
发表时间:
2008-07
期刊:
PICMET '08 - 2008 Portland International Conference on Management of Engineering & Technology
影响因子:
--
通讯作者:
Y. Kajikawa;Y. Takeda;K. Matsushima
Y. Kajikawa;Y. Takeda;K. Matsushima
中科院分区:
其他
文献类型:
--
作者:
Y. Kajikawa;Y. Takeda;K. Matsushima

文献摘要

被引文献

相似文献

科技路线图在研发管理中是一种很有吸引力的工具,在过去的十年中得到了广泛的应用。科技路线图通常是通过收集和激发专家意见来构建的。当前,科技研究的规划者必须把握更广泛的科技研究覆盖范围,在资源有限的情况下,对有前景的新兴技术进行有效的投资决策。在这种情况下,道路绘制既耗时又主观,因此,基于计算机的方法有望补充基于专家的方法。本文提出并论证了基于计算机的引文网络分析方法可以用来描述技术趋势,并构建科技路线图初稿。我们在能源研究方面进行个案研究。我们通过引文网络分析来跟踪新兴的研究领域。我们的分析证实,燃料电池和太阳能电池是能源研究中快速发展的领域。我们通过聚类进一步研究了详细的研究结构。每个引文集群都有自己的特色研究课题,集群之间也存在着不同的增长趋势。通过引文网络分析,我们可以在一堆出版物中高效地跟踪新兴研究领域。
Science and technology (S&T) roadmaps are an attractive tool in R&D management, and have been widely used during the past decade. S&T roadmaps are typically constructed by gathering and stimulating expert's opinion. In these days, the planner of S&T research has to grasp the broader coverage of scientific and technological research, and make decisions on effective investment in promising and emerging technologies especially under circumstances of limited resources. In such a situation, roadmapping is time-consuming and subjective, and therefore computer-based approach is expected to supplement expert-based approach. In this paper, we proposed and demonstrated that the computer-based approach using citation network analysis can be used to depict technology trend, and build the first draft of S&T roadmaps. We perform a case study in energy research. We track emerging research domains in it by citation network analysis. Our analysis confirms that the fuel cell and solar cell are rapidly growing domains in energy research. We further investigate the detailed research structures by clustering. Each citation cluster has characteristic research topics, and there is a variety of growth trends among the clusters. By using citation network analysis, we can track emerging research domains among a pile of publications efficiently and effectively.