Publication and patent behaviour of academic researchers: conflicting, reinforcing or merely co-existing?.

Increasing entrepreneurial activity within academia has raised concerns that the amount of publications added to the scientific commons might become reduced or that academic research would become directed exclusively towards the application-oriented needs of industry. In the case of academic inventions, the potential conflict between public and private oriented considerations seems most salient. With this contribution, we examine whether the publication behaviour of academic inventors (at K.U.Leuven) differs from their colleagues (non-inventors) working within similar fields of research. Our analysis reveals that inventors publish significantly more. Moreover, no empirical evidence was found for the 'skewing problem'. These findings not only suggest the co-existence of both activities; they may actually reinforce one another.Academic investors; Field; Industry; Knowledge; Knowlegde interactions; Research; University-industry relations; Working;

Patent related indicators for assessing knowledge-generating institutions: towards a contextualised approach.

This contribution aims at examining the extent to which patent related indicators are relevant for shedding light on the notion of excellence within knowledge generating institutions. Traditionally, excellence has been looked upon as the ability to create interesting and valuable new scientific concepts, theories and data. From such a perspective, scientific excellence can be assessed through scientometric measures of publication output and impact. The recent interest in the 'entrepreneurial' phenomenon within knowledge generating institutes justifies efforts to examine the relevancy of broadening the set of indicators used to assess such institutions into the direction of entrepreneurial excellence. In this paper we will examine the relevancy of using patent data in order to delineate such additional, more entrepreneurial oriented, indicators. The arguments and findings presented in this respect will lead us to a plea for the use of these indicators in a contextualized manner.Science; Effectiveness; Patents; Country; Performance; Variance analysis;

Combining entrepreneurial and scientific performance in academia: towards a compounded and reciprocal Matthew effect.

The increase of entrepreneurial activity within academia has raised concerns that the research orientation of universities might become 'contaminated' by the application-oriented needs of industry. Empirical evidence on this concern is scarce and ambiguous. We examine whether entrepreneurial and scientific performance in academia can be reconciled. Our empirical findings (K.U.Leuven, Belgium) suggest that both activities do not hamper each other; engagement in entrepreneurial activities coincides with increased publication outputs, without affecting the nature of the publications involved. As resources increase, this interaction becomes more significant, pointing towards a Matthew-effect. We finally suggest that balancing both activities further depends on the institutional policies deployed.Belgium; Industry; Innovation systems; Knowledge interactions; Performance; Policy; University;

Combining the production and the valorization of academic research: A qualitative investigation of enacted mechanisms.

The emergence of knowledge-based societies over the past decades has spurred research on the specific role of universities in innovation systems. The notion of academic entrepreneurship has gained acceptance among communities of researchers, practitioners and policy makers (Etzkowitz et al., 1998). At the same time, this acceptance seems impregnated by a constant alertness for the tensions that may arise. Concerns are uttered about shifts of the academic research agenda towards industry needs, resulting in fewer investments in basic research. Furthermore, the conflicting nature of the normative principles that guide academia and business has been warned for: competitive considerations and secrecy practices would stand in direct opposition to the principle of free dissemination of scientific knowledge (Dasgupta and David, 1987; Florida and Cohen, 1999; Geuna, 1999; Noble, 1977).Agency; Applicant; Assignee; Assignment; Business; Companies; Country; Data; EPO; Indicators; Information; Innovation; Institutional; Inventors; Methods; Order; Patent; Patent statistics; Patentee; Performance; Policy; Regions; Research; Researchers; Sector; Sector assignment; Technology; Time; University; USPTO; Innovation systems; Systems; Academic entrepreneurship; Community; Research agenda; Industry; Industries; Investments; Investment; Basic research; Principles; Dissemination; Knowledge;

Traces of prior art. An analysis of non-patent references found in patent documents.

Research in the area of innovation has pointed out the relevance of conceiving innovation as processes in which a multitude of actors and a variety of interactions play a role. Integrative notions like (national) innovations systems, (techno-scientific) networks, or the triple helix metaphor, have been widely accepted as relevant to grasp the complexities entailed. This development highlights the need for indicators that mirror the dynamics involved. This contribution presents an in-depth examination of the role of 'Non-Patent references', found in patents. After examining the occurrence of these references in the USPTO and EPO patent systems, the precise nature of these references is delineated by means of a systematic content analysis of two samples of non-patent references (n=10.000). Our observations reveal the relevance of 'non-patent references' for developing indicators to depict the proximity of technological and scientific developments. Application areas, limitations and directions for future research are discussed.Academic investors; Field; Industry; Knowledge; Knowlegde interactions; Research; University-industry relations; Working; Area; Innovation; Processes; Innovations; Systems; Networks; Triple-helix; Complexity; Indicators; Dynamics; Patents;

National scientific capabilities and technological performance: An exploration of emerging industrial relevant research domains.

Today's theories and models on innovation stress the importance of scientific capabilities and science-technology proximity, especially in new emerging fields of economic activity. In this contribution we examine the relationship between national scientific capabilities, the science intensity of technology and technological performance within six promising industrial fields. Our findings reveal that national technological performance is positively associated with scientific capabilities. Countries performing better on a technological level are characterized both by larger numbers of publications and by numbers of involved institutions that exceed average expected values. The latter observation holds for both companies and knowledge generating institutes actively involved in scientific activities. As such, our findings seem to suggest beneficial effects of scientific capabilities shouldered by a multitude of organizations. In addition, higher numbers of patent activity coincide with higher levels of science intensity pointing out the relevance of science 'proximity' when developing technology in newer, emerging fields. Limitations and directions for further research are discussed.Performance; Research; Theory; Models; Model; Innovation; Field; Science; Intensity; Technology; Country; Expected; Value; Companies; Knowledge; Effects;

Patent citation analysis with Google

This is an accepted manuscript of an article published by Wiley-Blackwell in Journal of the Association for Information Science and Technology on 23/09/2015, available online: https://doi.org/10.1002/asi.23608 The accepted version of the publication may differ from the final published version.Citations from patents to scientific publications provide useful evidence about the commercial impact of academic research, but automatically searchable databases are needed to exploit this connection for large-scale patent citation evaluations. Google covers multiple different international patent office databases but does not index patent citations or allow automatic searches. In response, this article introduces a semiautomatic indirect method via Bing to extract and filter patent citations from Google to academic papers with an overall precision of 98%. The method was evaluated with 322,192 science and engineering Scopus articles from every second year for the period 1996–2012. Although manual Google Patent searches give more results, especially for articles with many patent citations, the difference is not large enough to be a major problem. Within Biomedical Engineering, Biotechnology, and Pharmacology & Pharmaceutics, 7% to 10% of Scopus articles had at least one patent citation but other fields had far fewer, so patent citation analysis is only relevant for a minority of publications. Low but positive correlations between Google Patent citations and Scopus citations across all fields suggest that traditional citation counts cannot substitute for patent citations when evaluating research

Incidence and Growth of Patent Thickets - The Impact of Technological Opportunities and Complexity

We investigate incidence and evolution of patent thickets. Our empirical analysis is based on a theoretical model of patenting in complex and discrete technologies. The model cap- tures how competition for patent portfolios and complementarity of patents affect patent- ing incentives. We show that lower technological opportunities increase patenting in- centives in complex technologies while they decrease incentives in discrete technologies. Also, more competitors increase patenting incentives in complex technologies and reduce them in discrete technologies. To test these predictions a new measure of the density of patent thickets is introduced. European patent citations are used to construct measures of fragmentation and technological opportunity. Our empirical analysis is based on a panel capturing patenting behavior of 2074 firms in 30 technology areas over 15 years. GMM estimation results confirm the predictions of our theoretical model. The results show that patent thickets exist in 9 out of 30 technology areas. We find that decreased technological opportunities are a surprisingly strong driver of patent thicket growth