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TRIMs, TNCs, technology policy and the Brazilian automobile industry
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Innovation capabilities in the Brazilian automobile industry: a study of car assemblers’ technological strategies and policy recommendations
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Quadros, R. and Consoni, F. (2009) ‘Innovation capabilities in the Brazilian automobile industry: a study of car assemblers’ technological strategies and policy recommendations’, International Journal of Technological Learning, Innovation and Development, Vol. 2, Nos. 1–2, pp.53–75.
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E. Schamp and J. Esser (Eds.) Frankfurt: Campus Forschung
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Rentmeister, B. (2001) ‘Vernetzung wissensintensiver Dienstleister in der Produktentwicklung der Automobilindustrie’, in E. Schamp and J. Esser (Eds.) Metropolitane Region in der Vernetzung. Der Fall Frankfurt/Rhein Main, Frankfurt: Campus Forschung, pp.154–180.
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Learning and earning in global garment and footwear chains
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Schmitz, H. (2006) ‘Learning and earning in global garment and footwear chains’, European Journal of Development Research, Vol. 18, No. 4, pp.546–571.
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The contribution of Knowledge-Intensive Business Services (KIBS) to innovation in cities: an evolutionary and institutional perspective
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Simmie, J. and Strambach, S. (2006) ‘The contribution of Knowledge-Intensive Business Services (KIBS) to innovation in cities: an evolutionary and institutional perspective’, Journal of Knowledge Management, Vol. 10, No. 5, pp.26–40.
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Strambach, S. (2001) ‘Innovation processes and the role of Knowledge-Intensive Business Services (KIBS)’, in K. Koschatzky, M. Kulicke and A. Zenker (Eds.) Innovation Networks - Concepts and Challenges in the European Perspective, Heidelberg/New York: Physica Verlag, pp.53–68.
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Wissensökonomie, organisatorischer Wandel und wissensbasierte Regionalentwicklung. Herausforderungen für die Wirtschaftsgeographie
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Knowledge-Intensive Business Services (KIBS) as drivers of multi-level knowledge dynamics
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The formation of international innovation networks in the multinational corporation: an evolutionary perspective
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Transnational firms and the changing organisation of innovative activities
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The distinction between vertical and horizontal knowledge domains is explained more fully in Strambach (2008). Integrative KIBS draw on vertical and horizontal knowledge domains, combining and reconfiguring knowledge units flexibly, and producing high-level customised ‘knowledge products’
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The distinction between vertical and horizontal knowledge domains is explained more fully in Strambach (2008). Integrative KIBS draw on vertical and horizontal knowledge domains, combining and reconfiguring knowledge units flexibly, and producing high-level customised ‘knowledge products’.
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The above examples were provided by Ruy Quadros and Rasmus Lema, based on their research in Brazil and India respectively
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The above examples were provided by Ruy Quadros and Rasmus Lema, based on their research in Brazil and India respectively.
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Coombs et al. (2003), in their review of ‘distributed processes of provision and innovation’, stress the importance of asymmetric power relationships between contributors to the innovation process
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Coombs et al. (2003), in their review of ‘distributed processes of provision and innovation’, stress the importance of asymmetric power relationships between contributors to the innovation process.
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Arora et al. (1997) suggest that the modularisation of technology leads to the dispersal of innovation to where the users of this technology are located. This and related work on modularity (Arora and Gambardella, 1994) has attracted a lot of criticism (Brusoni et al., 2001; Ernst, 2005) stressing that modular technology per se does not translate into modular organisation - and by implication - geographical dispersal
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Arora et al. (1997) suggest that the modularisation of technology leads to the dispersal of innovation to where the users of this technology are located. This and related work on modularity (Arora and Gambardella, 1994) has attracted a lot of criticism (Brusoni et al., 2001; Ernst, 2005) stressing that modular technology per se does not translate into modular organisation - and by implication - geographical dispersal.
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If ‘system’ (or ‘systemic’) means anything it is presumably about mutual reinforcement
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If ‘system’ (or ‘systemic’) means anything it is presumably about mutual reinforcement.
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The same conclusion can be drawn from the literature on ‘localised learning’ (Malmberg and Maskell, 2006) which avoids the term innovation system but is in substance very close to the regional innovation systems literature
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The same conclusion can be drawn from the literature on ‘localised learning’ (Malmberg and Maskell, 2006) which avoids the term innovation system but is in substance very close to the regional innovation systems literature.
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The key regional capability seems to be the capability of aligning different networks (von Tunzelmann, 2005)
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The key regional capability seems to be the capability of aligning different networks (von Tunzelmann, 2005).
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A dynamic approach would in particular look to the role of a new generation of managers in existing enterprises. And, especially relevant in clusters, to the spin-offs. Often they feel less constrained by the bonds with existing powerful customers and are more able to take new initiatives
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A dynamic approach would in particular look to the role of a new generation of managers in existing enterprises. And, especially relevant in clusters, to the spin-offs. Often they feel less constrained by the bonds with existing powerful customers and are more able to take new initiatives.
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The term ‘global production network’ is also used by Henderson et al. (2002). They criticise the global value chain approach for being too linear and vertical. We agree with them that there are important relationships with other actors outside the chain which are important for competitiveness and innovation and which are not adequately captured by the GVC approach. The strength of their analysis lies in bringing to the fore the full range of institutional and actor constellations which influence economic development. We doubt however the analytical value of packing all these relationships and constellations into the concept of ‘GPNs’. We believe it is more useful to draw out the strengths of the GVC approach and then deal with the weaknesses by complementing it with other approaches. This seems to offer a better chance of exposing analytical connections or gaps
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The term ‘global production network’ is also used by Henderson et al. (2002). They criticise the global value chain approach for being too linear and vertical. We agree with them that there are important relationships with other actors outside the chain which are important for competitiveness and innovation and which are not adequately captured by the GVC approach. The strength of their analysis lies in bringing to the fore the full range of institutional and actor constellations which influence economic development. We doubt however the analytical value of packing all these relationships and constellations into the concept of ‘GPNs’. We believe it is more useful to draw out the strengths of the GVC approach and then deal with the weaknesses by complementing it with other approaches. This seems to offer a better chance of exposing analytical connections or gaps.
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For example, in the case of the Sinos Valley footwear cluster (Brazil), an ‘underground revolution’ happened after two decades of domination by global lead firms (Bazan and Navas-Aleman, 2004). In the biotechnology industry some multinational companies have changed their innovation strategies due to failed internal big pharma research; some have started to work with or in distant regions with high KIBS density, in order to overcome uneven knowledge capabilities in their home region (Cooke, 2005)
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For example, in the case of the Sinos Valley footwear cluster (Brazil), an ‘underground revolution’ happened after two decades of domination by global lead firms (Bazan and Navas-Aleman, 2004). In the biotechnology industry some multinational companies have changed their innovation strategies due to failed internal big pharma research; some have started to work with or in distant regions with high KIBS density, in order to overcome uneven knowledge capabilities in their home region (Cooke, 2005).
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For exceptions, see Figueiredo (2007)
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For exceptions, see Figueiredo (2007).
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