• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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


Abstract

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.


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Cite this article

[IEEE Style]
J. Kim, J. Lee, E. Yang, S. Kang, "Technology forecasting from the perspective of integration of technologies: Drone technology," KSII Transactions on Internet and Information Systems, vol. 17, no. 1, pp. 31-50, 2023. DOI: 10.3837/tiis.2023.01.003.

[ACM Style]
Jinho Kim, Jaiill Lee, Eunyoung Yang, and Seokjoong Kang. 2023. Technology forecasting from the perspective of integration of technologies: Drone technology. KSII Transactions on Internet and Information Systems, 17, 1, (2023), 31-50. DOI: 10.3837/tiis.2023.01.003.

[BibTeX Style]
@article{tiis:38312, title="Technology forecasting from the perspective of integration of technologies: Drone technology", author="Jinho Kim and Jaiill Lee and Eunyoung Yang and Seokjoong Kang and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2023.01.003}, volume={17}, number={1}, year="2023", month={January}, pages={31-50}}