Publication to Patent Analysis for Detecting Science & Technology Frontiers: The Case of Biofuels, Biochemicals and Biomaterials or Academic Lock-In is Not Necessarily Affecting Business Behavior
(English)Manuscript (preprint) (Other academic)
In this paper we apply large-scale review methodologies and introduce the PPA model - Publication to Patent Analysis ‑ in order to map recent developments in science and technology frontiers of biorefinery activities. Using a bibliometrical approach in the PPA model, we aim to detect and analyze scientific and technological trends in a potentially huge sector. This study takes on the challenge of closing the gap between two strands of analysis - publication analysis and a parallel patent analysis. Bibliometrics is used in order to provide the basis for identification of Science & Technology frontiers, i.e. clusters. Moreover, the data analysis can be used for probabilistic topic modelling of clusters created from publication and patent data. In the studies of knowledge transfer between science and technology this kind of approach has previously been applied only at the micro level. We provide a novel approach proposed for analyses of broader technology sectors which may support policymakers, R&D funding agencies as well as industrial management in the production of scientific and technological intelligence. In our case study results indicate that old forest industry nations in Europe (Austria, Germany, and Sweden) seem at best reactive and pragmatic leaning on their industrial specialization. In general, the EU countries are lagging behind when it comes to new and fast-growing science fields based on non-woody biomass materials and product fields and instead concentrated to more mature or slow-growing wood-based activities.
Bibliometrics, large-scale review, science and technology frontiers, science and technology indicators, technological paradigms and lock-in, publication to patent analysis
Social Sciences Interdisciplinary Other Social Sciences not elsewhere specified
Research subject Industrial Engineering and Management
IdentifiersURN: urn:nbn:se:kth:diva-191251OAI: oai:DiVA.org:kth-191251DiVA: diva2:955727
This research was funded by the grant ERN45/09 from the Torsten and Ragnar Soderberg Foundation and by the grant 12/09 from the Lars Erik Lundberg Foundation for Research and Education.
QC 201608292016-08-262016-08-262016-08-29Bibliographically approved