Analysis on Convergence in Green Technology Field Using Patent Information

Abstract:

Convergence means that independently existing entities create a new entity with a larger value through chemical bonding. Such convergence requires consilience of knowledge or discipline. Green technology shows a strong nature of convergence, having strong links between technologies rather than being an independent technology. Green technology can help the energy convergence society by producing energy through renewable energy, abandoning the way of growth of inputting large amount of fossil fuel like petroleum and gas, managing energy through a smart grid, storing energy in energy storage facility, and using LED or environment-friendly vehicle. In this study, we will measure the degree of convergence in green technology field to consider which field of technology actually converges in green technology. In the result, it was found that convergence was continuously increasing in green technology field, and the link between solar energy and LED lighting technology was especially strong. This means that convergence is happening between a technology of energy production and a technology that uses energy, and that the society is going forward to energy convergence society through green technology.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 1981-1993
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.1981
• Online since: April 2014
• Authors: Dae Hyun Jeong, Young Il Kwon*
• Keywords: Betweenness Centrality, Convergence, Green Technology, IPC Code

References

[1] Hee-jong Kang, Mi-jung Um, Dong-myung Kim, Prediction of prospective converging technology through patent analysis, Journal of the Korean Society for Technology Management & Economics, vol. 14, no. 3(2006), p.93~116.

[2] Andrea Azzola, Paolo Landoni, Bart Van Looy, Exploring indicators of Open Innovation: The role of co- patents, Eleventh International Conference on Science and Technology Indicators, Leiden (2010), pp.25-27.

[3] Jeong-dong Lee, Economical and political interpretation of PLC-based industrial technology convergence, The proceedings of KIEE , seoul (2004), pp.27-34.

[4] Jung-Sook Kim, Development of Intelligent Machinery and IT Convergence Using Case-Based Reasoning, JCIT: Journal of Convergence Information Technology, vol. 6, no. 5 (2011), p.61 ~ 68.

DOI: 10.4156/jcit.vol6.issue5.7

[5] Hwang-soo Jeon, Pil-sun Heo, Industrial promotion strategy according to technology convergence of IT-BT-NT, Electronics and Telecommunications trends, vol21, no. 2 (2006), pp.15-25.

[6] Clive-Steven Curran, Jens Leker, Patent indicators for monitoring convergence-examples from NFF and ICT, Technological Forecasting and Social Change, vol. 78, no. 2 (2010), pp.256-273.

DOI: 10.1016/j.techfore.2010.06.021

[7] Chesbrough, H., Open Innovation: How Companies Actually Do It., Harvard Business Review, vol. 81, no. 7 (2008), pp.12-14.

[8] Stefanie Bröring, Jens Leker, Industry Convergence and Its Implications for the Front End of Innovation: A Problem of Absorptive Capacity, Creativity and innovation management , vol 16 (2007), pp.165-175.

DOI: 10.1111/j.1467-8691.2007.00425.x

[9] Sungjin Kim, Euiho Suh, Youngjoon Jun, Building a Knowledge Brokering System using social network analysis: A case study of the Korea financial industry, Expert systems with applications, vol. 38. issue. 12 (2011), pp.14633-14649.

DOI: 10.1016/j.eswa.2011.05.019

[10] Dong-Won Son, Analysis of Social Network, Kyungmunsa (2010), 1st press.

[11] Zac Sadan, David G. Schwartz, Social network analysis of web links to eliminate false positives in collaborative anti-spam systems, Journal of Network and Computer Applications, vol. 34. issue5 (2011). pp.1717-1723.

DOI: 10.1016/j.jnca.2011.06.004

[12] Jin Soo Jung, Hak Yong Kim, Personal Network Analysis on Koguryo, Baekjae, and Shilla Dynasty Chronicles, Korea Contents Association Journal, vol. 11, no. 5 (2011), pp.474-480.

[13] Chi Sung Park, Study of Organization Diagnosis Analysis Using Social Network Analysis, Korean Society of Organizational Studies Journal, vol. 6, no. 2 (2009), pp.1-32.

[14] Seung Kuk Song, Eun Nyung Huh, Yu Ah Lee, Evaluation of Technology Improvement of Gas Hydrate Development Project, Appling Network Analysis Process, Korea Technology Innovation Society Journal, vol. 14, no. 1 (2009), pp.60-84.

[15] Firestone, SM, Christley, RM, Ward, MP, Dhand, NK, Adding the spatial dimension to the social network analysis of an epidemic: Investigation of the 2007 outbreak of equine influenza in Australia, Preventive Veterinary Medicine, vol. 106, no. 2 (2012).

DOI: 10.1016/j.prevetmed.2012.01.020

[16] Wonodi, CB, Privor-Dumm, L, Aina, M, Pate A. M, Reis, R, Gadhoke, P, Levine, OS, Using social network analysis to examine the decision-making process on new vaccine introduction in Nigeria, Health Policy and Planning, vol. 27, no. 2 (2012).

DOI: 10.1093/heapol/czs037

[17] C.S. Curran, J. Leker, Employing STN Ana Vist to forecast converging industries, International Journal of Innovation Management , vol. 13, no. 4 (2010), p.637–664.

DOI: 10.1142/s1363919609002455

[18] Gyu-hee Hwang, Wee Shim, Byung-ryeol Ko, Analysis of changes in units of knowledge and future skill needs using patent information, Korea Research Institute for Vocation Education & Training (2011), pp.1209-1231.