Journal ArticleDOI
Academic Engagement and Commercialisation: A Review of the Literature on University-Industry Relations
Markus Perkmann,Valentina Tartari,Maureen McKelvey,Erkko Autio,Erkko Autio,Anders Broström,Pablo D'Este,Riccardo Fini,Riccardo Fini,Aldo Geuna,Rosa Grimaldi,Alan Hughes,Michael Kitson,Stefan Krabel,Patrick Llerena,Francesco Lissoni,Francesco Lissoni,Ammon Salter,Maurizio Sobrero +18 more
TLDR
In this paper, the authors present a systematic review of research on academic scientists' involvement in collaborative research, contract research, consulting and informal relationships for university-industry knowledge transfer, which they refer as academic engagement.Abstract:
A considerable body of work highlights the relevance of collaborative research, contract research, consulting and informal relationships for university-industry knowledge transfer. We present a systematic review of research on academic scientists’ involvement in these activities to which we refer as ‘academic engagement’. Apart from extracting findings that are generalisable across studies, we ask how academic engagement differs from commercialization, defined as intellectual property creation and academic entrepreneurship. We identify the individual, organizational and institutional antecedents and consequences of academic engagement, and then compare these findings with the antecedents and consequences of commercialization. Apart from being more widely practiced, academic engagement is distinct from commercialization in that it is closely aligned with traditional academic research activities, and pursued by academics to access resources supporting their research agendas. We conclude by identifying future research needs, opportunities for methodological improvement and policy interventions. (Published version available via open access)read more
Citations
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Knowledge transfer in university quadruple helix ecosystems: an absorptive capacity perspective
TL;DR: In this article, an absorptive capacity-based conceptual framework is proposed, using a priori constructs which portrays the multidimensional process of knowledge transfer between universities and its constituent stakeholders in pursuit of open innovation and commercialisation.
Journal ArticleDOI
In good company: : The influence of peers on industry engagement by academic scientists
TL;DR: In this article, the authors argue that academic scientists' industry engagement is influenced significantly by the behaviour of their peers, that is, the behavior of colleagues of similar seniority, and they hypothesize that these peer effects are produced by the mechanism of social comparison.
Journal ArticleDOI
Financial ties of principal investigators and randomized controlled trial outcomes: cross sectional study
Rosa Ahn,Alexandra Woodbridge,Ann Abraham,Susan Saba,Deborah Korenstein,Erin Madden,W. John Boscardin,W. John Boscardin,Salomeh Keyhani,Salomeh Keyhani +9 more
TL;DR: Financial ties of principal investigators were independently associated with positive clinical trial results and may be suggestive of bias in the evidence base.
Journal ArticleDOI
Mapping the field: a bibliometric analysis of the literature on university–industry collaborations
TL;DR: In this article, a bibliometric literature review is presented to examine the evolution of the field and identify the primary emerging patterns of university-industry collaborations and their role across levels of analysis, contexts and stages of the collaboration process.
Journal ArticleDOI
Governing Science: How Science Policy Shapes Research Content
Jochen Gläser,Grit Laudel +1 more
TL;DR: In this paper, a review explores contributions by science policy studies and the sociology of science to our understanding of the impact of governance on research content and concludes that little is known so far about the impact on knowledge content.
References
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Journal ArticleDOI
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TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
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Walter W. Powell,Paul DiMaggio +1 more
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Posted Content
Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review
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The Matthew effect in science. The reward and communication systems of science are considered.
TL;DR: The psychosocial conditions and mechanisms underlying the Matthew effect are examined and a correlation between the redundancy function of multiple discoveries and the focalizing function of eminent men of science is found—a function which is reinforced by the great value these men place upon finding basic problems and by their self-assurance.
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