Interactions in knowledge systems: Foundations, policy implications and empirical methods
Published 1 November 1994Open access
Keith Smith
Citations104
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Recent years have seen fundamental changes in the ways we conceptualise innovation processes. The purpose of this paper is to explore one such reassessment, namely 'systems' approaches to innovation: the objective is to discuss the basis and policy implications of the approach, and then the extent to which policy-relevant empirical descriptions of systems are possible. What kinds of indicators and empirical methods can we use to characterise the profile and interactions of an innovation system?
Keywords
Social Sciences
Research PolicyThe roles of science in technological innovation
231 Citations1993Michael Gibbons, Ron Johnston
Research PolicyCitations in patents to the basic research literature
102 Citations1988Peter Collins, Suzanne Wyatt
The history of patenting in genetics is described and the methodological and cognitive aspects of studying patent citations are discussed, before detailing the results of the analysis of 366 genetics patents in the US patent system granted during 1980–1985.
Anthem Press eBooksApproaching National Systems of Innovation from the Production and Linkage Structure
33 Citations2010Esben Sloth Andersen
