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http://dx.doi.org/10.9723/jksiis.2016.21.5.055

Technology Keyword Network and Cognitive Map Analysis: to prospect promising technology of UAV(Unmanned Aerial Vehicle) airframe industry  

Joo, Seong-Hyeon (경북대학교 경영학부, 한국생산기술연구원)
Ha, Sung-Ho (경북대학교 경영학부)
Park, Sang-Hyeon (경북대학교 경영학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.21, no.5, 2016 , pp. 55-72 More about this Journal
Abstract
This study aims at providing a methodology for retaining international technology competitiveness, marketable industry, and sustainable promising technology in a field of new growth engine industry such as national unmanned aerial vehicle industry. We draw a result by analysing with tools such as KrKwic, Excel, NetMiner, presenting methods of a Social Network Analysis, sub-group analysis, and cognitive map analysis based on patent data in a field of unmanned aerial vehicle industry. As a result, some future promising technologies are prospected as what worths concentrated investment, such as 'pilot control tech', 'identification of friend or foe tech'.
Keywords
UAV(Unmanned Aerial Vehicle) airframe; sustainable promising technology; patent data; Social Network Analysis; cognitive map analysis;
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Times Cited By KSCI : 9  (Citation Analysis)
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