TY - JOUR
T1 - A Hybrid method of analyzing patents for sustainable technology management in humanoid robot industry
AU - Kim, Jongchan
AU - Lee, Joonhyuck
AU - Kim, Gabjo
AU - Park, Sangsung
AU - Jang, Dongsik
N1 - Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF 2015R1D1A1A01059742) and by the BK 21 Plus (Big Data in Manufacturing and Logistics Systems, Korea University).
Publisher Copyright:
© 2016 by the authors; licensee MDPI, Basel, Switzerland.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Cross-impact analysis
KW - Humanoid
KW - Network analysis
KW - Patents
KW - Sustainable technology management
KW - Topic model
UR - http://www.scopus.com/inward/record.url?scp=84970950210&partnerID=8YFLogxK
U2 - 10.3390/su8050474
DO - 10.3390/su8050474
M3 - Article
AN - SCOPUS:84970950210
VL - 8
SP - 1
EP - 14
JO - Sustainability
JF - Sustainability
SN - 2071-1050
IS - 5
ER -
