Knowledge interactions between universities and industry in Austria: sectoral patterns and determinants

Schartinger, Doris; Rammer, Christian; Fischer, Manfréd M.; Fröhlich, Josef

doi:10.1016/s0048-7333(01)00111-1

Cited by 494 publications

(396 citation statements)

References 29 publications

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“…Having a star scientist leading the group may attract the attention of non-academic agents more interested in collaborating with scientists with good academic reputation or high research impact. Schartinger et al (2001Schartinger et al ( , 2002 measure department research quality using number of publications in foreign scholarly journals per researcher; they find that international publications are positively related to higher departmental engagement in joint research activities, but not to contract research or personnel mobility. Lowe and Gonzalez-Brambila (2007) conduct an individual-level study measuring researchers' productivity as number of journal articles published per year, and conclude that entrepreneurial faculty are more productive than their peers.…”

Section: Star Scientistsmentioning

confidence: 99%

Knowledge transfer activities in social sciences and humanities: Explaining the interactions of research groups with non-academic agents

2014

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The aim of this research is to achieve a better understanding of the processes underlying knowledge transfer (KT) in Social Sciences and Humanities (SSH). The paper addresses: first, the extent of SSH research groups' engagement in KT and the formal KT activities used to interact with non-academic communities; and second, how the characteristics of research groups may influence engagement in various types of KT. The empirical analysis is at research group level using data derived from a questionnaire of SSH research groups conducted by the Spanish Council for Scientific Research (CSIC). We find that KT activities are based on relational rather than commercial activities. The most frequent relational activities in which SSH research groups engage are consultancy and contract research, with personnel mobility a marginal activity. We find also that the characteristics of research groups (e.g. size and multidisciplinarity) and individuals (e.g. status and research impact) are associated with involvement in KT activities and that a deliberate focus on the societal impacts and relevance of the research conducted is strongly related to active engagement of research groups in all the modes of KT considered in this study. From a managerial perspective, our findings suggest that measures promoting a focus on the societal impact of research could enhance research groups' engagement in KT activities.

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Section: Star Scientistsmentioning

confidence: 99%

Knowledge transfer activities in social sciences and humanities: Explaining the interactions of research groups with non-academic agents

2014

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“…These articles describe the purpose of such channels, as information for new projects, information for project completion, relations between channels and knowledge areas and which are the main channels used by different industrial sectors (Schartinger et al,, 2002;Bekkers & Freitas, 2008;Østergaard, 2009;Zawislak & Dalmarco, 2010). In view of the dynamic of U-I relations, knowledge should flow continuously between institutions, developing technological capabilities.…”

Section: ! Figure 1 -Knowledge Flow Between the University And Industrymentioning

confidence: 99%

“…According to the country's environment, universities or companies establish different ways of knowledge transfer, according to the channels used. For example, Austrian companies find contract research and consulting as the most important channel of knowledge transfer, followed by collaborative research and joint PhD supervision (Schartinger, Rammer, Fischer and Fröhlich, 2002). On the other hand, in UK the most common way of knowledge transfer is trough meetings and conferences, followed by consultancy and contract research (D'este & Patel, 2007).…”

Section: Introductionmentioning

confidence: 99%

The Silent Run: New Issues and Outcomes for University-Industry Relations in Brazil

Zawislak

Dalmarco

2011

Journal of Technology Management & Innovation

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In order to develop innovations, companies are establishing University-Industry (U-I) relations which are explained in theories like the Triple Helix. Maybe this traditional view it is not enough to describe what happens in Brazil. Followed by a growth of articles published internationally, companies in technologically stable industries seem to be incorporating high-tech outcomes from universities, boosting sectors that once were apparently inert. This research will propose a different approach on U-I relations, focusing on the Knowledge Flow. Results show that agriculture companies are increasing their relations as much as engineering companies. Such relations are mainly based on raw technologies or applied solutions. Start-up firms' relations are mainly based on informal contacts and patents are not used to protect technologies. The Silent Run shows that companies which appear to be technologically stable are now upgrading trough U-I, and patents does not seem to be the first option when protecting new technologies.

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“…Knowledge spillovers between scientific organizations and companies in cooperative projects as well as during co-publications are most intense if they are based on dense and frequent face-to-face contact [40]. Firms, which cooperate with universities are more often involved in basic research, they have access совремеННый иНструмеНтарий...…”

Section: Public Funding Of Localised Randd Network and Regional Knowlementioning

confidence: 99%

R&D networks and regional knowledge production: an agent-based simulation of the Austrian competence centres programme

Korber¹,

Paier²

2014

EoR

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Knowledge interactions between universities and industry in Austria: sectoral patterns and determinants

Cited by 494 publications

References 29 publications

Knowledge transfer activities in social sciences and humanities: Explaining the interactions of research groups with non-academic agents

Knowledge transfer activities in social sciences and humanities: Explaining the interactions of research groups with non-academic agents

The Silent Run: New Issues and Outcomes for University-Industry Relations in Brazil

R&D networks and regional knowledge production: an agent-based simulation of the Austrian competence centres programme

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