Cumulative and Combinatorial Micro-dynamics of Knowledge: The Role of Space and Place in Knowledge Integration

Strambach, Simone; Klement, Benjamin

doi:10.1080/09654313.2012.723424

Cited by 138 publications

(93 citation statements)

References 37 publications

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“…However, these studies also demonstrated more complex patterns of innovation bringing forward evidence for the combinaton of knowledge bases in many of those sectors (Halkier et al 2010). Similar arguments and findings were presented by Crevoisier and Jeannerat (2009), , Grillitsch and Trippl (2013), Manniche (2012), Strambach and Klement (2012). In particular the report on the EURODITE project (Halkier et al 2010, p. 52 ff) is of interest here.…”

Section: Combining Knowledge Basessupporting

confidence: 64%

“…from which types of organizations did firms acquire new qualifications and skills in the innovation process? Organisation types analysed include universities, technical institutes and related firms representing different knowledge domains and -bases (Aslesen and Freel 2012;Strambach and Klement 2012). We were particularly interested in the combination of acquiring knowledge from respective organization types and spatial levels that are shown descriptively in tables 1-4.…”

Section: Empirical Study: the Ict Sector In Three Austrian Regionsmentioning

confidence: 99%

“…However, it also has been demonstrated that more complex knowledge processes are in fact underlying these overly schematic expectations (Jensen et al 2007;Halkier et al 2010;Cooke et al 2010). In addition, there have been arguments more recently by and Strambach and Klement (2012), among others that combinations of different but related knowledge bases and -assets might be of high relevance for understanding innovation processes of firms in particular sectors and regions. This implies that innovation of firms e.g.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Does Combinatorial Knowledge Lead to a Better Innovation Performance of Firms?

Tödtling

Grillitsch

2015

European Planning Studies

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The knowledge base concept in the past has often been applied in its "pure" form, i.e. it was assumed that there are dominant knowledge bases in particular sectors and firms, that shape the knowledge-and innovation process and related networks. For example, it has been argued that in the case of "analytical sectors" such as biotech codified knowledge generated by universities and R&D organisations are key for radical innovation, and that such knowledge is often transmitted by formal R&D cooperations and university-firm links. "Synthetic sectors" such as machinery on the other hand were assumed to innovate more incrementally by recombining existing knowledge that was often drawn from suppliers or service firms. Empirical literature partly has confirmed these basic patters, but also has demonstrated that more complex knowledge processes are underlying these overly schematic expectations. In addition, there have been arguments by Asheim, Boschma and Strambach, among others, more recently that combinations of different but related knowledge bases and -assets might be of high relevance for understanding innovation processes of firms in particular sectors and regions. This implies that innovation of firms e.g. in "analytical sectors"might benefit not just from new and basic knowledge generated by research, but also from recombining existing and applied knowledge or by drawing on symbolic knowledge assets. The same argument for the relevance of combinatorial knowledge bases applies for "synthetic" and "symbolic sectors", but in different forms. The paper investigages if the reliance on combinatorial knowledge bases leads to a better innovation performance and more radical forms of innovation than the use of more narrow knowledge assets. The paper investigates the relevance of combinatorial knowledge bases for innovation at first conceptually and based on respective literature. In the second part we analyse this question empirically by drawing on findings for the ICT sector in three regions

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Section: Combining Knowledge Basessupporting

confidence: 64%

Section: Empirical Study: the Ict Sector In Three Austrian Regionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Does Combinatorial Knowledge Lead to a Better Innovation Performance of Firms?

Tödtling

Grillitsch

2015

European Planning Studies

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“…(8) Finally, related-variety studies hitherto focus on how related variety affects economic development, while research on the geography of knowledge recombination processes at the micro-level remains rather unconnected to the related-variety literature. A challenge for future research will be to combine the macro-level work reviewed here with the emerging micro-level work on related variety, both theoretical (Davids & Frenken, 2015;Strambach & Klement, 2012) and empirical (Aarstad, Kvitastein, & Jakobsen, 2016;Antonietti & Cainelli, 2011), as to come to a better multi-scalar understanding on how regional conditions and constraints as well as various forms of proximity affect recombination processes of knowledge among related and unrelated domains.…”

Section: Future Researchmentioning

confidence: 99%

Related variety and economic development: a literature review

Frenken

2016

European Planning Studies

188

124

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Since the introduction of the related variety concept in 2007, a number of studies have been undertaken to analyse its effect on economic development. Our review of 21 studies makes clear that most studies find support for the initial hypothesis that related variety supports employment growth, though some studies suggest that the growth effects of related variety may be specific to knowledge-intensive sectors only. From the review, we list a number of further research questions regarding methodology, the role of unrelated variety, different forms of relatedness and the effect of related variety on knowledge production and entrepreneurship.ARTICLE HISTORY

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“…Regional diversification refers to the process whereby new industries emerge from technologically related or unrelated industries in regions, where existing competences are recombined as new economic activities [65]. In tourism, cumulative and combinatorial knowledge dynamics occur predominantly in proximal knowledge interactions [66]. Regional diversification develops new growth paths " .…”

Section: Regional Diversificationmentioning

confidence: 99%

Tourism Diversification and Its Implications for Smart Specialisation

Weidenfeld

2018

Sustainability

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Abstract:The complex nature of tourism, its strong inter-sectoral relationships and regional dimension challenge innovation. The advent of smart specialisation, which focuses on regional diversification across sectors, offers considerable and hitherto largely unrealized potential for developing innovative tourism policies within this new agenda. This paper addresses the understudied concept of tourism diversification and its unrealized relevance to smart specialisation, which has emerged as a mainstream logic underpinning EU Cohesion Policy reforms and has diffused into other OECD countries. It provides a theoretical framework for studying product, market, sectoral and regional diversification as well as related variety in tourism. Some policy implications for realizing tourism diversification and for the potential role of tourism in smart specialisation strategies in particular are suggested.

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Cumulative and Combinatorial Micro-dynamics of Knowledge: The Role of Space and Place in Knowledge Integration

Cited by 138 publications

References 37 publications

Does Combinatorial Knowledge Lead to a Better Innovation Performance of Firms?

Does Combinatorial Knowledge Lead to a Better Innovation Performance of Firms?

Related variety and economic development: a literature review

Tourism Diversification and Its Implications for Smart Specialisation

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