ISSN : 1229-6783(Print)
ISSN : 2288-1484(Online)
ISSN : 2288-1484(Online)
Journal of the Korea Safety Management & Science Vol.16 No.1 pp.213-220
DOI : https://doi.org/10.12812/ksms.2014.16.1.213
DOI : https://doi.org/10.12812/ksms.2014.16.1.213
핵심 기술 파악을 위한 특허 분석 방법: 데이터 마이닝 및
다기준 의사결정 접근법
A patent analysis method for identifying core technologies: Data mining and multi-criteria decision making approach
Received January 20, 2014; Revision Received March 11, 2014; Accepted March 19, 2014.
Abstract
This study suggests new approach to identify core technologies through patent analysis. Specially, theapproach applied data mining technique and multi-criteria decision making method to the co-classificationinformation of registered patents. First, technological interrelationship matrices of intensity, relatedness, andcross-impact perspectives are constructed with support, lift and confidence values calculated by conducting anassociation rule mining on the co-classification information of patent data. Second, the analytic network processis applied to the constructed technological interrelationship matrices in order to produce the importance valuesof technologies from each perspective. Finally, data envelopment analysis is employed to the derived importancevalues in order to identify priorities of technologies, putting three perspectives together. It is expected thatsuggested approach could help technology planners to formulate strategy and policy for technological innovation.
Core Technology,Patent Co-classification,Association Rule Mining,Analytic Network Process,Data Envelopment Anal
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2. Banker, R.D., Charnes, A., and Cooper, W.W. (1984), "Some models for estimating technical and scale inefficiencies in data envelopment analysis", Management Science, 30(9), 1078-1092.
3. Breschi, S., Lissoni, F., and Maleraba, F. (2003), "Knowledge-relatedness in firm technological diversification", Research Policy, 32(1), 69-87.
4. Charnes, A., Cooper, W.W., and Rhodes, E. (1978), "Measuring efficiency of decision making units", European Journal of Operational Research, 2(6), 429-444.
5. Choi, C., Kim, S., and Park, Y. (2007), "A patent-based cross impact analysis for quan titative estimation of technology impact: The case of information and communication technology", Technological Forecasting & Social Change, 74(8), 1296-1314.
6. EIRMA (2000), "Technology monitoring for business success", European Industrial Research Management Association, Working Group 55 Report.
7. Englesman, E.E. and van Rann, A.F.J. (1992), "A paten-based cartography of technology", Research Policy, 23(1), 1-26.
8. Geum, Y., Lee, S., Yoon, B., and Park, Y. (2013), "Identifying and evaluating strategic partners for collaborative R&D: Index-based approach using patents and publications", Technovation, 33(6-7), 211-224.
9. Han, J. and Kamber, M. (2001), "Datamining: Concepts and techniques", Academic Press, SanDiego.
10. Jaffe, A.B. (1989), "Characterising the technological position of firms, with application to quantifying technological opportunity and research spillovers", Research Policy, 18(2), 87-97.
11. Lee, H., Seol, H., Sung N., Hong, Y.S., and Park, Y. (2010), "An analytic network process approach to measuring design change impacts in modular products", Journal of Engineering Design, 21(1), 75-91.
12. Lee, L.T.S. (2010), "On efficiency of integrative strategies among companies in US high-tech industry", International Journal of Management and Enterprise, 9(3), 311-323.
13. Saaty, T. (1996), "Decision making with dependence and feedback: The analytic network process", RWS Publications, Pittsburgh.
14. Seol, H., Lee, S., and Kim, C. (2011), "Identifying new business areas using patent information: A DEA and text mining approach", Expert Systems with Applications, 38(4), 2933-2941.
15. Shen, Y.C., Lin, G.T.R., and Tzeng, G.H. (2011), "Combined DEMATEL techniques with novel MCDM for the organic light emitting diode technology selection", Expert Systems with Applications, 38(3), 1468-1481.
16. Shih, M.J., Liu, D.R., and Hsu, M.L. (2010), "Discovering competitive intelligence by mining changes in patent trends", Expert Systems with Applications, 37(4), 2882-2890.
17. Trajtenberg, M. (1990), "A penny for your quotes: Patent citations and the value of inventions", The RAND Journal of Economics, 21(1), 172-187.
18. Wang, M.Y. (2012), "Exploring potential R&D collaborators with complementary technologies: The case of biosensors", Technological Forecasting & Social Change, 79(5), 862-874.
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