{"title":"A Methodology to Analyze Technology Convergence: Patent-Citation Based Technology Input-Output Analysis","authors":"Jeeeun Kim, Sungjoo Lee","volume":74,"journal":"International Journal of Computer and Information Engineering","pagesStart":212,"pagesEnd":216,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/2764","abstract":"
This research proposes a methodology for patent-citation-based technology input-output analysis by applying the patent information to input-output analysis developed for the dependencies among different industries. For this analysis, a technology relationship matrix and its components, as well as input and technology inducement coefficients, are constructed using patent information. Then, a technology inducement coefficient is calculated by normalizing the degree of citation from certain IPCs to the different IPCs (International patent classification) or to the same IPCs. Finally, we construct a Dependency Structure Matrix (DSM) based on the technology inducement coefficient to suggest a useful application for this methodology.<\/p>\r\n","references":"[1] Hacklin, F., Marxt, C. and Fahrni, F. (2009), Coevolutionary cycles of\r\nconvergence: an extrapolation from the ICT industry, Technological\r\nForecasting & Social Change, Vol. 76, pp. 723-736.\r\n[2] Xing, W, Ye, X. and Kui, L. (2011), Measuring convergence of China's\r\nICT industry: an input-output analysis, Telecommunications Policy, Vol.\r\n35, pp.301-313.\r\n[3] Lee, M. Lee, J. and Cho, Y. (2009), How a convergence product affects\r\nrelated markets: The case of the mobile phone, ETRI Journal, Vol. 31, No.\r\n2, pp. 215-224.\r\n[4] Bores, C., Saurina, C. and Torres, R. (2003), Technological convergence:\r\na strategic perspective, Technovation, Vol 23, No.1, pp.1-13.\r\n[5] Ernst H, Patenting strategies in the German mechanical engineering\r\nindustry and their relationship to company performance, Technovation,\r\n15 (4) (1995) 225-240.\r\n[6] Geum, Y., Kim, C., Lee, S. and Kim, M. (2012), Technological\r\nconvergence of IT and BT: evidence from patent analysis, ETRI Journal,\r\nVol. 34, No. 3, pp. 439-449.\r\n[7] No, H.J. and Park, Y. (2010), Trajectory patterns of technology fusion:\r\ntrend analysis and taxonomical grouping in nanobiotechnology,\r\nTechnological Forecasting & Social Change, Vol. 77, pp. 63-75.\r\n[8] Curran, C.S. and Leker, J. (2011), Patent indicators for monitoring\r\nconvergence - examples from NFF and ICT, Technological Forecasting\r\nand Social Change, vol. 78, pp. 256-273.\r\n[9] Tijssen, R.J.W. (1992), A quantitative assessment of interdisciplinary\r\nstructures in science and technology: co-classification analysis of energy\r\nresearch, Research Policy, Vol. 21, No. 1, pp. 27-44.\r\n[10] Engelsman, E.C. and van Raan, A.F.J. (1994), A patent-based\r\ncartography of technology, Research Policy, Vol. 23, pp. 1-26.\r\n[11] Leontief, W.W. (1986), Input-Output Economics. 2nd ed., New York:\r\nOxford University Press.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 74, 2013"}