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http://dx.doi.org/10.5391/JKIIS.2016.26.4.327

A Study on Analysis of R&D Intensity based on Patent Citation Information: Case Study on Self-driving Car of Google  

Lee, Junseok (School of Industrial Management Engineering, Korea University)
Kim, Jongchan (School of Industrial Management Engineering, Korea University)
Lee, Joonhyuck (School of Industrial Management Engineering, Korea University)
Park, Sangsung (Graduate School of Management of Technology, Korea University)
Jang, Dongsik (School of Industrial Management Engineering, Korea University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.26, no.4, 2016 , pp. 327-333 More about this Journal
Abstract
An autonomous vehicle is a convergence of artificial intelligence and a vehicle which can drive itself while analyzing the real-time situation on a road without a driver. A lot of research achievements have been revealed through the media and Google is considered to be the best leading company in this field. The use of patent information which contains various information such as bibliographic data and information about technologies is a good way to find out the R&D direction of a company and develop a reasonable strategy. This study is aimed at investigating the direction to which Google focuses its R&D capabilities and establishing strategies for technology development. Google's patents about autonomous vehicles were collected and the degree of research bias was analyzed using Social Network Analysis based on citations indicating the quality of a patent. Based on the results, the strategies for technology development was eventually proposed. As a result, it was revealed that Google focused its R&D capabilities on the part of hardware control to make up for its lack of hardware-oriented technologies. As of now, Google obtained remarkable achievements, so it seems reasonable that last-movers consider cooperative research with Google.
Keywords
Self-Driving Car; Patent; Social Network Analysis; R&D Intensity;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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