The Dynamics of Technical and Business Knowledge Networks in Industrial Clusters: Embeddedness, Status, or Proximity?

By Pierre-Alexandre Balland, José Antonio Belso-Martínez, A. Morrison. 2016

200 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/96b35c9ca0bf43314c0341de093ee39b3ea6ace8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management of Technology and Innovation

1. Piers Thompson
2. Daniel Prokop
3. Robert Huggins
4. Andrew Johnston
5. Yee Kwan Tang
6. E. Malecki
7. L. Klerkx
8. Michael Dowling

In Sociology and Political Science

1. Piers Thompson
2. Robert Huggins

In Strategy and Management

1. Piers Thompson
2. Daniel Prokop
3. Robert Huggins
4. E. Malecki
5. Michael Dowling
6. C. Lechner

Citations in the corpus

• Universities and open innovation: the determinants of network centrality (2019, background): “There is also a growing school of thought that nonproximate actors are often equally, if not better, able to transfer strategically relevant and valuable knowledge across such spatial boundaries providing a high performing network structure is in place (McEvily and Zaheer 1999; Dunning 2000; Lissoni”