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Open AccessArticle

A Hybrid Method of Analyzing Patents for Sustainable Technology Management in Humanoid Robot Industry

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Department of Industrial Management Engineering, Korea University, Seoul 02841, Korea
2
Korea Intellectual Property Strategy Agency, Seoul 02841, Korea
3
Graduate School of Management of Technology, Korea University, Seoul 02841, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Giuseppe Ioppolo
Sustainability 2016, 8(5), 474; https://doi.org/10.3390/su8050474
Received: 30 April 2016 / Revised: 9 May 2016 / Accepted: 9 May 2016 / Published: 12 May 2016
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
A humanoid, which refers to a robot that resembles a human body, imitates a human’s intelligence, behavior, sense, and interaction in order to provide various types of services to human beings. Humanoids have been studied and developed constantly in order to improve their performance. Humanoids were previously developed for simple repetitive or hard work that required significant human power. However, intelligent service robots have been developed actively these days to provide necessary information and enjoyment; these include robots manufactured for home, entertainment, and personal use. It has become generally known that artificial intelligence humanoid technology will significantly benefit civilization. On the other hand, Successful Research and Development (R & D) on humanoids is possible only if they are developed in a proper direction in accordance with changes in markets and society. Therefore, it is necessary to analyze changes in technology markets and society for developing sustainable Management of Technology (MOT) strategies. In this study, patent data related to humanoids are analyzed by various data mining techniques, including topic modeling, cross-impact analysis, association rule mining, and social network analysis, to suggest sustainable strategies and methodologies for MOT. View Full-Text
Keywords: sustainable technology management; humanoid; cross-impact analysis; topic model; patents; network analysis sustainable technology management; humanoid; cross-impact analysis; topic model; patents; network analysis
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Kim, J.; Lee, J.; Kim, G.; Park, S.; Jang, D. A Hybrid Method of Analyzing Patents for Sustainable Technology Management in Humanoid Robot Industry. Sustainability 2016, 8, 474.

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