Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data

Stephen Roper, Nola Hewitt-Dundas

Research output: Contribution to journalArticlepeer-review

78 Citations (Scopus)
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Abstract

Successful innovation depends on knowledge – technological, strategic and market related. In this paper we explore the role and interaction of firms’ existing knowledge stocks and current knowledge flows in shaping innovation success. The paper contributes to our understanding of the determinants of firms’ innovation outputs and provides new information on the relationship between knowledge stocks, as measured by patents, and innovation output indicators. Our analysis uses innovation panel data relating to plants’ internal knowledge creation, external knowledge search and innovation outputs. Firm-level patent data is matched with this plant-level innovation panel data to provide a measure of firms’ knowledge stock. Two substantive conclusions follow. First, existing knowledge stocks have weak negative rather than positive impacts on firms’ innovation outputs, reflecting potential core-rigidities or negative path dependencies rather than the accumulation of competitive advantages. Second, knowledge flows derived from internal investment and external search dominate the effect of existing knowledge stocks on innovation performance. Both results emphasize the importance of firms’ knowledge search strategies. Our results also re-emphasize the potential issues which arise when using patents as a measure of innovation.
Original languageEnglish
Pages (from-to)1327-1340
Number of pages14
JournalResearch Policy
Volume44
Issue number7
Early online date16 May 2015
DOIs
Publication statusPublished - Sep 2015

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