박현석
2019-08-27T02:07:57Z
2019-08-27T02:07:57Z
2019-03
SUSTAINABILITY, v. 11, NO 5, no. 1484
2071-1050
https://www.mdpi.com/2071-1050/11/5/1484
https://repository.hanyang.ac.kr/handle/20.500.11754/109958
Identification of prevalent problems is an important process of strategic innovation for stakeholders of trending technologies. This paper proposes a systematic and replicable method of patent analysis to identify problems to be solved requisite for sustainable technology planning and development, by implementing the concept of 'context' to facilitate problem identification. The main concept of the method entails the importance of the connections between contextual information and problems to provide more focused, relevant, and constructive insights essential for instating goals for research and development activities. These context-problem entities and their entwined connections are discovered using keyword pattern matching, grammar-based text mining, and co-word analysis techniques. The intermediary outputs are then utilized to generate the proposed context-problem network (CP net) for social network, grammar, and quantitative data analysis. For verification, our method was applied to 737 patents in the wireless energy transmission technology domain, successfully yielding CP net data. The detailed analysis of the resulting CP net data delivered meaningful information in the wireless charging technology field: The main contexts, "batteries", "power transmission coils", and "cores", are found to be most relevant to the main problems, "maximizing coupling efficiency", "minimizing DC signal components", and "charging batteries". The results provide a wide range of informative perspectives for individuals, the scientific community, corporate, and market-level stakeholders. Furthermore, the method of this study can be applicable to various technologies since it is independent of specific subject domains. Future research directions aim to improve this method for better quality and modeling of contexts and problems.
This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (Grant No.: NRF-2016R1A2B4008381) and the Business for University Entrepreneurship Center funded by the Ministry of SMEs and Startups in 2014 (Grant No. 10016911).
en
MDPI
systematic and replicable patent analysis method
problem-solved concept
context-problem network
network data analysis
sustainable wireless energy transmission technology
Context–Problem Network and Quantitative Method of Patent Analysis: A Case Study of Wireless Energy Transmission Technology
Article
1484
11
10.3390/su11051484
1-18
SUSTAINABILITY
Ree, Jason Jihoon
Jeong, Cheolhyun
Park, Hyunseok
Kim, Kwangsoo
2019006965
S
COLLEGE OF ENGINEERING[S]
DEPARTMENT OF INFORMATION SYSTEMS
hp