Figure 3-1: Components of an innovation systemSource: OECD (2003: 9)Modern innovation models describe the network of relationships among academia, industry, andgovernment as an overlay of reflexive communications that increasingly reshape the institutionalarrangements. (Etzkowitz and Leydesdorff, 2000: 109). The linear innovation model eitherexpressed in terms of ‘‘market pull’’ or ‘‘technology push’’ was insufficient to induce transfer ofknowledge and technology. Publication and patenting assume different systems of reference bothfrom each other and with reference to the transformation of knowledge and technology intomarketable products (ibid: 110). Modern, non-linear, models of innovation extend upon linearmodels by taking interactive and recursive terms into account. These non-linear terms can beexpected to change the causal relations between input and output (ibid: 114). There are severalmodern non-linear innovation models that can be used to conceptualize the interaction betweenHEIs and industry in relation to research and innovation.Gibbons et al. (1994) argue that a new form of knowledge production started emerging from themid 20 th century which is context-driven, problem-focused and interdisciplinary. It involvesmultidisciplinary teams brought together for short periods of time to work on specific problems inthe real world. Gibbons et al. label this ‘mode 2’ knowledge production. This is to bedistinguished from traditional academic, investigator-initiated and discipline-based knowledgeproduction, which they label ‘mode 1’. Other innovation models that are indicative of flux,reorganization, and the enhanced role of knowledge in the economy and society are ‘nationalsystems of innovation’ (Edquist, 1997), ‘research systems in transition’ (Cozzens et al., 1990;Ziman, 1994) or ‘the post modern research system’ (Rip and Van der Meulen, 1996).The Triple Helix configuration of university-industry-government relations assumes that anetwork of overlay communications, networks and organizations continuously reshapes theinstitutional arrangements in the innovation system. Most countries and regions have presentlyattained what Etzkowitz and Leydesdorff (2000: 111) call Triple Helix III type of innovationmodel; a knowledge infrastructure in which the three institutional spheres are overlapping, witheach taking the role of the other and hybrid organizations emerging at the interfaces. Thecommon objective is to realize an innovative environment consisting of university spin-off firms,tri-lateral initiatives for knowledge-based economic development, and strategic alliances amongfirms (large and small, operating in different areas, and with different levels of technology),government laboratories, and academic research groups (ibid:112).54
Bodas Freitas and Verspagen (2009) have developed a theoretical framework to conceptualize theinteraction between HEIs and industry in relation to research and innovation in the <strong>Netherlands</strong>.This theoretical framework asserts that knowledge transfer between HEIs and industry isinherently problematic. First of all, the process by which knowledge among HEIs gets intopractice is complex, interactive and risky. Technological and market problems seem to be thebiggest risks in the process of bringing knowledge into industrial innovations, independent ofwhether this process can be characterized as supply-push or demand-pull. Secondly, researchersat HEIs and industry collaborate for very different reasons: somewhat oversimplified, universityresearchers have incentives to concentrate on fundamental and theoretical research, publishingtheir research results, being recognized by their peers and assuring their tenure; while industrialresearchers are driven to focus on applicability and appropriation of the generated knowledge, oncommercially viable technologies, and on solving technological problems. Thirdly, collectiveHEI-industry knowledge production and especially the attribution of its research results may beproblematic because it requires finding a common agreement on a balanced level of appropriationby the participating firm and of public diffusion of results.Given the difficulties inherent to the process of bringing inventions into practice as well as inbridging university and industrial motivations towards collaboration, policy measures are nowwidely present in developed countries. In particular, to encourage knowledge transfer betweenuniversity and industry, policy-makers introduced public sponsoring to collaborative researchprojects, stimulated the establishment of university’s Technology Transfer Offices (TTOs) andpart-time professorships, and pushed for more active use of university property rights (ibid: 6).Public research sponsoring may help bridging HEI and industry motivations for collaboration inR&D as well as for engaging in efficient translation of new scientific advances into commerciallyviable technologies and products (Lee and Gaertner, 1994).3.2.2 National legal frameworkThe Dutch legislation on the ownership of Intellectual Property Rights (IPRs) is embodied in theIntellectual Property Act (Rijksoctrooiwet) of 1995. The Dutch Intellectual Property Act (IPA)stipulates that when someone conducts research at a university, UAS or research institution, thepatent entitlement belongs to the university, UAS or research institution.As a result, only the HEI can enter into arrangements to exploit the IPRs generated in theinstitutions. Further, HEIs themselves are allowed to set framework conditions regarding theownership of IPRs. In general terms, there are three different modes:• IPRs generated via HEI-financed research: in this case the HEI owns all rights to the IPR;• IPRs generated in the framework of a (research) contract for a particular (large or small)company: HEI can enter into a contract specifying who owns what and which party ownsthe right to exploit the IP generated from this contract;• IPRs generated in a research consortium: a research consortium formed to carry out aproject under a European Framework Programme – the terms for exploitation are writtendown in a Consortium Agreement among the partners and at the end of the project thepartners have to submit an exploitation plan. Most often, the results are co-owned by allpartners, although exceptions are possible.The University of <strong>Amsterdam</strong> (UvA), for instance, has the following division rule for revenuesobtained from inventions made by its employees: one-third goes to the inventor, one-third to thefaculty where the inventor is employed, and one-third to the Octrooifonds (a fund established bythe university to pay for the costs associated with patent requests).55
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Please cite this paper as:SEO Econo
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2.3 Higher education and the labor
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6.3 Mechanisms to promote regional
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Table 4-4: Completion rates of diff
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Amsterdam is matched by a relative
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The challenge for future social pol
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The VU likewise develops research p
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directing, documentary directing, s
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the university to improve its energ
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6.1 Introduction6 CAPACITY BUILDING
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Figure 6-1: Organization chart Vrij
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There are also examples of more spe
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Box 6-2: Obstacles for collaboratio
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eyond labor market studies, there a
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7 CONCLUSIONS: MOVING BEYOND THE SE
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…requires different forms of coop
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at higher levels in order to mainta
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to increase the interaction between
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mobility in the world is slackening
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ecause they are better informed abo
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REFERENCESAalders, R., A. Bakkeren,
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EZ Amsterdam (2006), “Research Bu
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MinOCW (2007a), “The Education Sy
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SER (2008), “Duurzame Globaliseri
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Versleijen, A., van der Meulen, B.,
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Institution City Type ofHEIANNEX B:
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Groningenculture)Hogeschool Amsterd
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ANNEX C: KEY ECONOMIC INDICATORSTab
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ANNEX E: REGIONAL PARTNERSHIPS OF A
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AmsterdamUniversity CollegeOther re
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ANNEX F: BUSINESSES REPRESENTED IN
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GLOSSARYBologna DeclarationForeign