Analysis on Convergence in Green Technology Field Using Patent Information

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.

[1]  Jens Leker,et al.  Industry Convergence and its Implications for the Front End of Innovation: A Problem of Absorptive Capacity , 2007 .

[2]  David G. Schwartz,et al.  Social network analysis of web links to eliminate false positives in collaborative anti-spam systems , 2011, J. Netw. Comput. Appl..

[3]  J. Leker,et al.  Patent indicators for monitoring convergence - examples from NFF and ICT , 2011 .

[4]  JungSook Kim Development of Intelligent Machinery and IT Convergence Using Case-Based Reasoning , 2011 .

[5]  Euiho Suh,et al.  Building a Knowledge Brokering System using social network analysis: A case study of the Korean financial industry , 2011, Expert Syst. Appl..

[6]  Paolo Landoni,et al.  Exploring indicators of Open Innovation: the role of co-patents. , 2010 .

[7]  P. Gadhoke,et al.  Using social network analysis to examine the decision-making process on new vaccine introduction in Nigeria. , 2012, Health policy and planning.

[8]  Jens Leker,et al.  EMPLOYING STN ANAVIST TO FORECAST CONVERGING INDUSTRIES , 2009 .

[9]  Jean-soo Chung,et al.  Analysis of People Networks in Goguryeo, Baekje, and Silla Dynasty Silloks , 2011 .

[10]  SuhEuiho,et al.  Building a Knowledge Brokering System using social network analysis , 2011 .

[11]  Nina Bijedic,et al.  Analysis of a social network , 2014, 2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI).

[12]  Navneet K Dhand,et al.  Adding the spatial dimension to the social network analysis of an epidemic: Investigation of the 2007 outbreak of equine influenza in Australia , 2012, Preventive Veterinary Medicine.