English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

This study aims at analyzing the differences in the factors that influence the probability of knowledge transfer within industry and from industry to science in the biotechnology sector. In order to model these knowledge flows a citation analysis on the basis of patent data was conducted and a weighted bivariate probit model was estimated on the citation probability of industry and science on the basis of a combined sample of citing and cited patent pairs and an equal number of control patent pairs. The empirical results suggest that there are considerable differences in the citation probability. Cultural closeness for instance has a positive effect on the citation probability from industry to industry while the citation probability of scientific institutions is not affected by cultural distance.

Against the One-Way-Street: Analyzing Knowledge Transfer from Industry to Science