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Detecting the temporal gaps of technology fronts: A case study of smart grid field

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  • Chen, Ssu-Han
  • Huang, Mu-Hsuan
  • Chen, Dar-Zen
  • Lin, Siou-Zih

Abstract

This study aims to propose a methodology that describes the technology fronts evolution and compares the temporal gaps between two specialties. Using the patent documents of a local country, the United States (US), as well as the global context in the smart grid technology as the example, highly cited patents were collected from 2001 to 2010 and divided into a series of overlapping snapshots in which patent citation networks were constructed through bibliographic coupling (BC) analysis. A rolling clustering and features extraction procedure were applied for segmenting networks into clusters and then mapping these clusters into the technology trajectory maps. Next we describe the state of global and the US smart grid development, and then place the US trajectories in the global context to explore the temporal relationship between them. Technology fronts in this study can be categorized into four types – frontrunner, follower, uniquer, and behinder – according to the matching criteria and the temporal gap index. The results show that a high percentage of US technology fronts can be classified as frontrunners or uniquers; the nation occupies a leading position worldwide in developing each sub-domain of smart grid technology.

Suggested Citation

  • Chen, Ssu-Han & Huang, Mu-Hsuan & Chen, Dar-Zen & Lin, Siou-Zih, 2012. "Detecting the temporal gaps of technology fronts: A case study of smart grid field," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1705-1719.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:9:p:1705-1719
    DOI: 10.1016/j.techfore.2012.06.005
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    Citations

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    Cited by:

    1. Yasutomo Takano & Yuya Kajikawa & Makoto Ando, 2017. "Trends and Typology of Emerging Antenna Propagation Technologies: Citation Network Analysis," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-19, February.
    2. Chaker Jebari & Enrique Herrera-Viedma & Manuel Jesus Cobo, 2021. "The use of citation context to detect the evolution of research topics: a large-scale analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2971-2989, April.
    3. Adrián Kovács & Bart Looy & Bruno Cassiman, 2015. "Exploring the scope of open innovation: a bibliometric review of a decade of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 951-983, September.
    4. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2018. "Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments," Journal of Informetrics, Elsevier, vol. 12(1), pages 259-270.
    5. Weiwei Liu & Yuan Tao & Zhile Yang & Kexin Bi, 2019. "Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China," Sustainability, MDPI, vol. 11(2), pages 1-18, January.

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