Firms’ knowledge search and local knowledge externalities in innovation performance
Stephen Roper; James H. Love; Karen Bonner · 2016 · Research Policy
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
We use an augmented version of the UK Innovation Surveys 4–7 to explore firm-level and local area openness externalities on firms’ innovation performance. We find strong evidence of the value of external knowledge acquisition both through interactive collaboration and non-interactive contacts such as demonstration effects, copying or reverse engineering. Levels of knowledge search activity remain well below the private optimum, however, due perhaps to informational market failures. We also find strong positive externalities of openness resulting from the intensity of local interactive knowledg
Abstract by Stephen Roper; James H. Love; Karen Bonner, Research Policy (2016) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/j.respol.2016.10.004