Good practices for the management of Multi Actors and Multi Measures Programmes (MAPs) in RTDI policy

Baumann, Birgit; Mayer, Sabine; Bührer, Susanne; Simmonds, Paul J.; Greer, Heather F.; Stampfer, Michael; Hochreiter, Harald; Sturn, Dorothea

doi:10.22163/fteval.2004.208

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Such programmes have, for example, been initiated in Australia in 1990 (Cooperative Research Centres), Sweden in 1995 (Competence Centres), Austria in 1998 (Kplus Competence Centres), Hungary in 2000 (KKK Competence Centres), and Estonia in 2003 (Competence Centres). For a more detailed discussion, see Baumann et al (2004). Today, most countries finance large programmes in order to create and support competitive research milieus, not least in the US and the UK as well as in the Nordic countries (Power and Malmberg 2008).…”

Section: Trends In the Us During The 1980smentioning

confidence: 99%

Regionalizing “mode 2”? the adoption of centres of excellence in swedish research policy

Lundequist

Waxell

2010

Geografiska Annaler: Series B, Human Geography

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This article contributes to the ongoing debate on the role of university research for innovation and economic growth, a debate highly influenced by concepts such as Mode 2 and regional innovation systems and clusters. A prominent trend in many EU and OECD countries is to direct research funding towards so-called Centres of Excellence (CoEs) in order to stimulate the industrial output of scientific research. The implementation of the CoE approach is viewed as an attempt to bridge research and innovation policy. By using Sweden as an example and providing an overview and critical discussion concerning Swedish research policy during the period 2001 to 2007 we show that the rhetoric within research policy has changed and become increasingly intertwined with innovation policy. In practice, however, this is not as evident. The study draws on (a) an analysis of policy literature pointing out regulatory and organizational changes concerning the increasing emphasis on linking research to competitive industrial milieus, and (b) a comprehensive database including 110 CoEs, presenting a detailed picture of university-industry collaboration, cross-disciplinarity, and prioritized sectors. We find that the CoEs account for a relatively small share of government funding, but may however have a strengthening impact on particular research milieus and industries, especially in the life sciences. Additionally, although contemporary policy rhetoric appears to highlight steering funding to geographically-concentrated milieus, thereby linking leading university research to regional industrial clusters, this has only been manifested in a few cases -notably in the Vinnväxt programme run by Vinnova, the national agency promoting innovation systems.

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Section: Trends In the Us During The 1980smentioning

confidence: 99%

Regionalizing “mode 2”? the adoption of centres of excellence in swedish research policy

Lundequist

Waxell

2010

Geografiska Annaler: Series B, Human Geography

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Trapped in a net: network analysis for network governance

Grasenick

Wagner²,

Zumbusch³

2008

Vine

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PurposeEspecially at the regional level co‐operation is seen as a prerequisite for innovation and competitiveness. Hence, political interest in fostering knowledge intensive networks is high. New forms of governance and additional strategic intelligence for decision makers are requested. Thus potential of the social network analysis (SNA) is discussed as methodology providing the information needed for strategic management of innovation networks. The aim of this paper is to assess the impact as a regional governance tool.Design/methodology/approachFirst, benefits and risks of innovation networks are discussed based on literature review. Second, the potentials of the SNA for their systematic monitoring are examined. Herewith specific attention was paid to the manageability and reduction of complexity to demonstrate SNA applicability for network governance. Analysis was based on automated data retrieval of electronic documents available, e.g. at governmental institutions, research databases, and the internet. Results are exemplified by studying knowledge intensive networks in Styria.FindingsThe applied set of IT based tools and visualisation of regional co‐operations based on SNA provides a comprehensive view of the interdependencies and the embeddedness of different institutions as well as actors of the region. Based on this visualisation conclusions are drawn concerning network management by analysing specific attributes of interest, concerning partners, cooperative behaviour, balance of power, openness and embeddedness of the network.Originality/valueNetwork benefits success may not be achieved automatically. Strategic management is crucial for success. The paper demonstrates how social network analysis may be applied on automatic retrieved data on involved organisations and key players to strengthening the strategic intelligence of (regional) decision makers and help them meet the governance challenges of the network economy.

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Good practices for the management of Multi Actors and Multi Measures Programmes (MAPs) in RTDI policy

Cited by 2 publications

References 4 publications

Regionalizing “mode 2”? the adoption of centres of excellence in swedish research policy

Regionalizing “mode 2”? the adoption of centres of excellence in swedish research policy

Trapped in a net: network analysis for network governance

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