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Discovering technological opportunities by identifying dynamic structure-coupling patterns and lead-lag distance between science and technology

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  • Ba, Zhichao
  • Meng, Kai
  • Ma, Yaxue
  • Xia, Yikun

Abstract

Technological opportunities are bred in intricate and interactive connections between science and technology (S&T). To identify these potential opportunities, lexical- or topic-based similarity approaches have been extensively applied to quantify S&T linkages; however, these lack consideration of different interaction patterns and lead-lag relationships between S&T. To this end, this study proposes a novel approach to detect technological opportunities within specific S&T topics by incorporating their structure-coupling patterns and temporal lead-lag distance. By transforming S&T knowledge systems into knowledge networks, a network coupling approach is employed to elaborate dynamic interaction patterns of S&T, and a time-lagged cross-correlation analysis is conducted to calculate their lead-lag distance under different time shifts. An evidence analysis from the energy conservation field demonstrates the feasibility and reliability of the proposed methodology in identifying technological opportunities implicit in S&T shared (exists in both S&T) and private topics (exists only in science or technology) from a topical dimension.

Suggested Citation

  • Ba, Zhichao & Meng, Kai & Ma, Yaxue & Xia, Yikun, 2024. "Discovering technological opportunities by identifying dynamic structure-coupling patterns and lead-lag distance between science and technology," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    • Handle: RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523008326
    DOI: 10.1016/j.techfore.2023.123147
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