Who Are the Knowledge Brokers in Regional Systems of Innovation? A Multi-Actor Network Analysis

Kauffeld-Monz, Martina; Fritsch, Michael

doi:10.1080/00343401003713365

Cited by 115 publications

(85 citation statements)

References 70 publications

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“…A substantial variety of connections within the core as well as from the core to more peripheral actors (resulting in a broker/gatekeeper position of some of the central actors) have been shown to be ideal for the overall innovative capacity of a social network in a regional governance context (Ter Wal andBoschma 2009, Kauffeld-Monz andFritsch 2013). The role of core-periphery integration has therefore been discussed with respect to regional innovation systems (Asheim and Isakson 1997), innovation in creative industries (Cattani and Ferriani 2008), and innovation diffusion (Valente 1995, Abrahamson andRosenkopf 1997).…”

Section: Network Structure and Governancementioning

confidence: 99%

Resilience to climate change in a cross-scale tourism governance context: a combined quantitative-qualitative network analysis

Luthe¹,

Wyss²

2016

E&S

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Resilience to climate change in a cross-scale tourism governance context: a combined quantitativequalitative network analysis. Ecology and Society 21 (1) ABSTRACT. Social systems in mountain regions are exposed to a number of disturbances, such as climate change. Calls for conceptual and practical approaches on how to address climate change have been taken up in the literature. The resilience concept as a comprehensive theory-driven approach to address climate change has only recently increased in importance. Limited research has been undertaken concerning tourism and resilience from a network governance point of view. We analyze tourism supply chain networks with regard to resilience to climate change at the municipal governance scale of three Alpine villages. We compare these with a planned destination management organization (DMO) as a governance entity of the same three municipalities on the regional scale. Network measures are analyzed via a quantitative social network analysis (SNA) focusing on resilience from a tourism governance point of view. Results indicate higher resilience of the regional DMO because of a more flexible and diverse governance structure, more centralized steering of fast collective action, and improved innovative capacity, because of higher modularity and better core-periphery integration.Interpretations of quantitative results have been qualitatively validated by interviews and a workshop. We conclude that adaptation of tourism-dependent municipalities to gradual climate change should be dealt with at a regional governance scale and adaptation to sudden changes at a municipal scale. Overall, DMO building at a regional scale may enhance the resilience of tourism destinations, if the municipalities are well integrated.

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Section: Network Structure and Governancementioning

confidence: 99%

Resilience to climate change in a cross-scale tourism governance context: a combined quantitative-qualitative network analysis

Luthe¹,

Wyss²

2016

E&S

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“…The focus on these actors is motivated by the fact that both are regarded as important members of knowledge networks (Huggins & Johnston 2010;Huggins 2011;Corrocher & Cusmano 2014;Kauffeld-Monz & Fritsch 2013). KIBS cover a number of sectors where knowledge is regarded as a significant input in the process of creating the service, including computer consultancy, R&D consultancy, accountancy services, legal services and architecture (Doloreux & Muller, 2007;Chadwick et al, 2008;Shearmur & Doloreux, 2009;Doloreux & Shearmur, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…The university's role as a knowledge broker makes it an important component of a knowledge network (Huggins & Johnston 2009;Kauffeld-Monz & Fritsch 2013). University knowledge is regarded as an important input in the innovation process, underpinning the development of new ideas (Mansfield 1995;Rutten et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Drivers of University–Industry Links: The Case of Knowledge-Intensive Business Service Firms in Rural Locations

Johnston

Huggins

2015

Regional Studies

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The process of establishing collaborative links with university partners is potentially accompanied by uncertainties with respect to both the process and expected outputs. Partner selection is a difficult task influenced by a multitude of factors including location, geographic distance, compatibility of interests, shared understanding and prior experience of collaboration. Drawing on an analysis of Knowledge Intensive Business Service Firms (KIBS) firms located in predominantly rural districts of the UK, this paper examines the influences on partner selection when developing university links through knowledge transfer partnerships. The main focus of the paper is the extent to which geographic and organisational proximity influence the choice of university partner. The paper examines rural KIBS firms, which are generally less likely to be in close geographic proximity to a university. In the case of these firms, organisational proximity potentially has a strong role to play in partner selection. Indeed, the empirical analysis finds that both geographic and organisational proximity are significantly associated with partner choice, indicating that the formation of university-industry links are not only the result of locational factors, but also prior experience of collaboration. The findings indicate that partner choice is a complex process influenced by both geographic and organisational proximity, alongside university research prowess. The paper concludes by considering the policy implications of these findings and possible avenues for future research in this area

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“…Network analysis offers measures to detect positions within networks which possess very different characteristics. Using the following centrality measures: degree, closeness and betweenness (see Freeman 1979;Wassermann and Faust 1994;Jackson 2008;De Nooy et al 2011) the position of the different HEI types within the network can be measured and compared. 7…”

Section: Using Network Analysis As An Exploratory Methodsmentioning

confidence: 99%

Running with the pack? The role of Universities of applied science in a German research network

Strotebeck

2014

Rev Reg Res

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A major role within regional innovation systems is played by the higher education institutions. These institutions create, gather, store and transfer knowledge, which is needed for innovative activities. Regarding the transfer of knowledge the mechanism of cooperative research is one of particular importance for exchanging knowledge between companies and higher education institutions. The cooperative activity of different companies and institutions in Germany leads to a growing research network with intra-and interregional patterns. The purpose of this paper is to unveil the evolution of the German research network over more than a decade and depict changes in the position

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Who Are the Knowledge Brokers in Regional Systems of Innovation? A Multi-Actor Network Analysis

Cited by 115 publications

References 70 publications

Resilience to climate change in a cross-scale tourism governance context: a combined quantitative-qualitative network analysis

Resilience to climate change in a cross-scale tourism governance context: a combined quantitative-qualitative network analysis

Drivers of University–Industry Links: The Case of Knowledge-Intensive Business Service Firms in Rural Locations

Running with the pack? The role of Universities of applied science in a German research network

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