University of Illinois Urbana-Champaign

A methodological study on science and technology interaction patterns based on knowledge substitutability and complementarity

Yuan, Tonglu; Wang, Jiajie

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https://hdl.handle.net/2142/126238

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Title
A methodological study on science and technology interaction patterns based on knowledge substitutability and complementarity
Author(s)
  • Yuan, Tonglu
  • Wang, Jiajie
Issue Date
2025-03-11
Keyword(s)
  • Scientific and Technological Interaction Patterns
  • Knowledge Complementarity
  •  Knowledge Substitutability
  •  Complex Network Analysis
Abstract
Understanding the interaction patterns between science and technology (S&T) is crucial for innovation, yet research observing relationships between different knowledge types within S&T interactions from a knowledge substitutability and complementarity perspective is lacking. This study addresses this gap by analyzing S&T interactions through two indicators: knowledge complementarity and knowledge substitutability. By integrating citations and semantic information from scientific and technological publications, a network is constructed to delineate clusters of tightly interconnected knowledge entities and examine intra-cluster and inter-cluster interactions. In the field of genetic engineering vaccines, the study reveals key insights. Within clusters, scientific and technological knowledge coexist, indicating a close interplay between foundational research and practical applications within the same thematic areas. Technological knowledge exhibits higher substitutability than scientific knowledge. The intensity of intra-cluster interactions correlates with the field's development stage, where active knowledge exchange signifies rapid advancement. Between clusters, initially a central cluster shows high knowledge complementarity with others, implying widespread integration of core concepts across subfields. As the field matures, inter-cluster interactions balance out, reflecting diversification and specialization. Knowledge substitutability and complementarity indices peak in the early stages, then decline and slightly rise thereafter, indicating a shift towards incremental innovation and consolidation of existing knowledge. This study provides a novel methodological framework for measuring S&T linkages, contributing to a deeper theoretical understanding of their dynamic relationship. Practically, it offers insights for promoting technological innovation, thereby informing strategic planning and resource allocation in R&D.
Publisher
iSchools
Series/Report Name or Number
iConference 2025 Proceedings
Type of Resource
Other
Genre of Resource
Conference Poster
Language
eng
Handle URL
https://hdl.handle.net/2142/126238
Copyright and License Information
Copyright 2025 is held by Tonglu Yuan and Jiajie Wang. Copyright permissions, when appropriate, must be obtained directly from the authors.

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