A Hybrid method of analyzing patents for sustainable technology management in humanoid robot industry

Jongchan Kim, Joonhyuck Lee, Gabjo Kim, Sangsung Park, Dong Sik Jang

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalSustainability (Switzerland)
Volume8
Issue number5
DOIs
Publication statusPublished - 2016

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Keywords

  • Cross-impact analysis
  • Humanoid
  • Network analysis
  • Patents
  • Sustainable technology management
  • Topic model

ASJC Scopus subject areas

  • Management, Monitoring, Policy and Law
  • Renewable Energy, Sustainability and the Environment
  • Geography, Planning and Development

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