Analyzing interdisciplinarity of technology fusion using knowledge flows of patents

被引:88
作者
Ko, Namuk [1 ]
Yoon, Janghyeok [1 ]
Seo, Wonchul [2 ]
机构
[1] Konkuk Univ, Dept Ind Engn, Seoul 143701, South Korea
[2] Pukyong Natl Univ, Div Syst Management & Engn, Pusan 608737, South Korea
基金
新加坡国家研究基金会;
关键词
Technology fusion; Interdisciplinary trend; Patent citation analysis; Technological knowledge flow; R&D planning; NETWORKS; POSITIONS; CITATIONS; EVOLUTION; SYSTEM; TRENDS; KOREA;
D O I
10.1016/j.eswa.2013.08.091
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Despite the importance of identifying industry-wide impact of technology fusion, there are few studies to analyze interdisciplinary trends of technology convergence from an industry-wide perspective. This paper, therefore, presents a procedural method to analyze trends of industry-wide technology fusion by measuring knowledge flows of patents. The method constructs a technological knowledge flow matrix that represents knowledge flows among technology classes, and then extends it to an industry-wide knowledge flow matrix by exploiting the concordance between technology classes and industrial sectors. By computing assessment indicators of technology fusion regarding industrial sectors of a specific technology area, the method outputs a visual map that shows trends of industrial technology fusion. The presented method is illustrated using patents related to the new and renewable energy-based railway technology. We expect that the method will be incorporated into the R&D planning processes to assist R&D planners to initiate new R&D projects with a proper direction. Under these directions, the R&D projects can create new inventions by converging prominent technologies beyond industrial boundaries. Further, the method has the potential to become a basis of systematic support systems for technology experts to conduct knowledge-intensive technology planning activities. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1955 / 1963
页数:9
相关论文
共 37 条
[1]  
[Anonymous], 1988, YALE CANADA PATENT F
[2]   Knowledge-relatedness in firm technological diversification [J].
Breschi, S ;
Lissoni, F ;
Malerba, F .
RESEARCH POLICY, 2003, 32 (01) :69-87
[3]   POSITIONS IN NETWORKS [J].
BURT, RS .
SOCIAL FORCES, 1976, 55 (01) :93-122
[4]   Monitoring the organic structure of technology based on the patent development paths [J].
Choi, Changwoo ;
Park, Yongtae .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2009, 76 (06) :754-768
[5]   An SAO-based text mining approach to building a technology tree for technology planning [J].
Choi, Sungchul ;
Park, Hyunseok ;
Kang, Dongwoo ;
Lee, Jae Yeol ;
Kim, Kwangsoo .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (13) :11443-11455
[6]   Grouping of TRIZ Inventive Principles to facilitate automatic patent classification [J].
Cong, He ;
Tong, Loh Han .
EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (01) :788-795
[7]  
Duysteers G., 1998, International Journal of the Economics of Business, V5, P355, DOI [10.1080/13571519884431, DOI 10.1080/13571519884431]
[8]   POSITIONS, ROLES, AND DEPENDENCIES IN A COMMUNITY INTERORGANIZATION SYSTEM [J].
GALASKIEWICZ, J ;
KROHN, KR .
SOCIOLOGICAL QUARTERLY, 1984, 25 (04) :527-550
[9]   PATENT STATISTICS AS ECONOMIC INDICATORS - A SURVEY [J].
GRILICHES, Z .
JOURNAL OF ECONOMIC LITERATURE, 1990, 28 (04) :1661-1707
[10]   Coevolutionary cycles of convergence: An extrapolation from the ICT industry [J].
Hacklin, Fredrik ;
Marxt, Christian ;
Fahrni, Fritz .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2009, 76 (06) :723-736