Exploring Promising Technology in ICT Sector Using Patent Network and Promising Index Based on Patent Information

© 2016 Inchae Park et al. 405 http://dx.doi.org/10.4218/etrij.16.0115.0613 This research proposes the use of a patent analysis methodology that can suggest promising technology in the ICT sector at the micro-level. This approach identifies core patents from the technology field, groups them as research frontiers (RFs), and develops a visualized network based on the citing relationships to monitor the relationship among RFs. In addition, it calculates a “promising index” based on the growth potential, impact, and marketability of patents to ultimately derive promising RFs. To illustrate the proposed approach, this research presents analysis results for a chosen area, which is the user interface and user experience (UI/UX) technology field. By proposing promising technological fields at the micro-level, the proposed methodology will serve as a useful decisionmaking support tool in selecting R&D projects, technology planning, and determining technology policy direction.

[1]  Thomas L. Saaty.  What is the analytic hierarchy process , 1988 .

[2]  D. Harhoff,et al.  Citation Frequency and the Value of Patented Inventions , 1999, Review of Economics and Statistics.

[3]  F. Malerba,et al.  The emergence of new technologies in the ICT field: main actors, geographical distribution and knowledge sources , 2003 .

[4]  Tugrul U. Daim,et al.  Forecasting emerging technologies: Use of bibliometrics and patent analysis , 2006 .

[5]  R. S. Campbell,et al.  Patent trends as a technological forecasting tool , 1983 .

[6]  Eugene Garfield,et al.  Citation indexing - its theory and application in science, technology, and humanities , 1979 .

[7]  O. Persson.  The intellectual base and research fronts of JASIS 1986–1990 , 1994 .

[8]  H. P. F. Peters,et al.  Co-word-based science maps of chemical engineering. Part II: Representations by combined clustering and multidimensional scaling , 1993 .

[9]  F. Narin,et al.  Direct validation of citation counts as indicators of industrially important patents , 1991 .

[10]  Nils C. Newman,et al.  Measuring national ‘emerging technology’ capabilities , 2002 .

[11]  Yongtae Park,et al.  On the Measurement of Patent Stock as Knowledge Indicators , 2006 .

[12]  B. C. Griffith,et al.  The Structure of Scientific Literatures I: Identifying and Graphing Specialties , 1974 .

[13]  H. P. F. Peters,et al.  Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling , 1993 .

[14]  Yoshiyuki Takeda,et al.  Detecting emerging research fronts based on topological measures in citation networks of scientific publications , 2008 .

[15]  Lu Aiguo.  A Different Game , 2000 .

[16]  Sungjoo Lee,et al.  An approach to discovering new technology opportunities: Keyword-based patent map approach , 2009 .

[17]  Francis Narin,et al.  Citation rates to technologically important patents , 1981 .

[18]  Woo Hyoung Lee,et al.  How to identify emerging research fields using scientometrics: An example in the field of Information Security , 2008, Scientometrics.

[19]  S. Hung,et al.  Stimulating new industries from emerging technologies: challenges for the public sector , 2006 .

[20]  Péter Érdi,et al.  Prediction of emerging technologies based on analysis of the US patent citation network , 2012, Scientometrics.

[21]  Dongjun Lee,et al.  Predicting a promising fusion technology in geoscience and mineral resources engineering using Korean patent data , 2014 .

[22]  D J PRICE,et al.  NETWORKS OF SCIENTIFIC PAPERS. , 1965, Science.

[23]  Choongseok Lee,et al.  An Intelligent Decision Support System for Selecting Promising Technologies for R&D based on Time-series Patent Analysis , 2012 .

[24]  L. Freeman.  Centrality in social networks conceptual clarification , 1978 .

[25]  Alan L. Porter,et al.  Emerging technologies: quantitative identification and measurement , 2010, Technol. Anal. Strateg. Manag..

[26]  Henk F. Moed,et al.  Mapping of Science by Combined Co-Citation and Word Analysis. I. Structural Aspects , 1991 .