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Monitoring the change of technological impacts of technology sectors using patent information: the case of Koreaopen access

Authors
Yoon, JanghyeokKim, MujinKim, DoyeonKim, JonghwaPark, Hyunseok
Issue Date
Mar-2015
Publisher
The Asian Pacific Industrial Engineering and Management Society
Keywords
Decision-making trial and evaluation laboratory(DEMATEL); Patent analysis; Patent Co-classification; R& D planning; Technological impact
Citation
Industrial Engineering and Management Systems: An Offcial Journal of APIEMS, v.14, no.01, pp.1 - 15
Indexed
SCOPUS
KCI
Journal Title
Industrial Engineering and Management Systems: An Offcial Journal of APIEMS
Volume
14
Number
01
Start Page
1
End Page
15
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157642
DOI
10.7232/iems.2015.14.1.058
ISSN
1598-7248
Abstract
A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during 2003-2012. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.
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