How science-technology interactions affect technological innovation
The moderating role of topic divergence
Bibliographic Data
| ID | 22232105 |
|---|---|
| Authors | Zhichao Ba (0000-0001-5626-5604, Nanjing University of Information Science and Technology), Kai Meng (0000-0002-3939-273X, Suzhou Research Institute, corresponding author), Leilei Liu (0000-0001-5584-5746), L Z Liu (0000-0002-7269-5855, Suzhou Research Institute), Yujie Zhang (0000-0001-6480-4268, Suzhou Research Institute) |
| Year | 2025 |
| Volume | 12 |
| Issue | 1 |
| Publication date | 2025-11-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Humanities and Social Sciences Communications (JOURNAL) |
| Journal identifiers | ISSN: 2662-9992 • E-ISSN: 2662-9992 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1057/s41599-025-06002-4 |
| OpenAlex | W4416759238 |
| Language | EN |
| Citations received | 1 |
| References cited | 75 |
Science and technology (S&T) constitute significant forces in shaping innovation, yet empirical investigations of their interaction and convergence fostering technological advancement remain limited. This study aims to delineate the multidimensional dynamics of S&T interactions guided by synergetics principles, including strength, time-lag, depth, and synchronization, and explore their influence on technological innovation. It also examines the moderating impact of technological topic divergence. Utilizing a knowledge network representation framework, we conducted an examination of papers and patents within the artificial intelligence domain, spanning the period from 2000 to 2022. Our findings indicate that the strength, time-lag, and synchronization of S&T interactions positively correlate with technological innovation. Strong interaction between technology with deep-level scientific knowledge facilitates technological innovation and vice versa inhibits it. Moreover, the impact of S&T interactions on innovation tends to be greater in domains with higher technological topic popularity and centrality. By elucidating these associations, this study contributes to the methodological understanding of S&T intrinsic interactions and furnishes valuable insights for R&D organizations in formulating strategic S&T decisions
Empirical evidence · Popularity · Technological change · Technological convergence · Innovation and Knowledge Management · Intellectual Property and Patents · scientometrics and bibliometrics research
Interfirm Collaboration Networks
Machine learning
Finding scientific topics
Open for innovation
Collinearity
Transformative innovation policy
The increasing linkage between U.S. technology and public science
Identifying emerging topics in science and technology
Identifying interdisciplinary emergence in the science of science
Gatekeepers in knowledge transfer between science and technology
Inter-sectoral and inter-regional knowledge spillovers
Developing metrics for emerging technologies
Conceptual definition of technology emergence
Science, technology and innovation in a 21st century context
The Social Organization of Scientific Knowledge
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |