Interactions among organizations from science, technology, and industry on the basis of percolation theory
Case study of pharmaceutical industry
Datos Bibliográficos
| ID | 21443225 |
|---|---|
| Autores | Shuo Xu (0000-0002-8602-1819, Beijing University of Technology), Zhen Liu (0000-0002-8440-2554, Beijing University of Technology), Liyuan Hao (0000-0002-0291-2711, Beijing Forestry University, autor de correspondencia) |
| Año | 2026 |
| Volumen | 131 |
| Número | 5 |
| Páginas | 3145-3168 |
| Fecha de publicación | 2026-05-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Scientometrics (JOURNAL) |
| Identificadores de la revista | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-026-05624-y |
| OpenAlex | W7154830851 |
| Idioma | EN |
| Referencias citadas | 39 |
Bottleneck · Empirical research · Layer (electronics) · Mechanism (biology) · Percolation (cognitive psychology) · Perspective (graphical) · Pharmaceutical industry · Business Strategy and Innovation · Innovation and Knowledge Management · University-Industry-Government Innovation Models
Innovation ecosystems
Random graphs with arbitrary degree distributions and their applications
The increasing linkage between U.S. technology and public science
Sectoral patterns of technical change
Network structure, self-organization, and the growth of international collaboration in science
How science-technology interactions affect technological innovation
Gatekeepers in knowledge transfer between science and technology
Do academic inventors have diverse interests
Science, technology and innovation in a 21st century context
Conceptualizing Knowledge Used in Innovation
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |