Details

Autor(en) / Beteiligte

• Jinho, Kim
• Jaiill, Lee
• Eunyoung, Yang
• Seokjoong, Kang

Titel

Technology forecasting from the perspective of integration of technologies: Drone technology

Ist Teil von

• KSII transactions on Internet and information systems, 2023, Vol.17 (1), p.31-50

Ort / Verlag

한국인터넷정보학회

Erscheinungsjahr

2023

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• In the midst of dynamic industrial changes, companies need data analysis considering the effects of integration of various technologies in order to establish innovative R & D strategies. However, the existing technology forecasting model evaluates individual technologies without considering relationship among them. To improve this problem, this study suggests a new methodology reflecting the integration of technologies. In the study, a technology forecasting indicator was developed using the technology integration index based on social network analysis. In order to verify the validity of the proposed methodology, ‘drone task performance technology’ based on patent data was applied to the research model. This study aimed to establish a theoretical basis to design a research model that reflects the degree of integration of technologies when conducting technology forecasting research. In addition, this study is meaningful in that it quantitatively verified the proposed methodology using actual patent data.