5 resultados para Innovation cooperation

em Aston University Research Archive


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Marked differences exist between the institutional and social context for innovation in the UK and Germany. The question addressed here is how these different contexts affect the objectives and organisation of innovation in UK and German manufacturing. In particular, the paper examines the extent to which UK and German plants engage in inter-plant collaboration and cooperation and multifunctional working as part of their innovative activity, and explores the reasons for differences in these patterns of involvement. The investigation is based on a large-scale, comparative survey of manufacturing plants in the two countries. In Germany, institutional and social norms are found to encourage collaborative inter-plant innovation, but aspects of the German skills training and industrial relations systems make the adoption of more flexible internal systems more difficult. In the UK, by contrast, the more adversarial nature of inter-firm relations makes it more difficult to establish external collaborations based on mutual trust, but less restrictive labour market structures make it easier for UK plants to adopt multifunctional working. This is linked to differences in attitudes to the property rights and transaction cost problems inherent in innovation.

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It is well known that innovation is the engine that drives the growth machine of modern capitalist economies. Therefore, not surprisingly, substantial attention has been devoted by economists to the process behind the production of innovations. Three areas have recently emerged as relevant in the field. These are: the impact of spillovers on productivity; the different forms of R&D cooperation and the role of patents in fostering innovations when these are cumulative. In this paper I summarise the relevant literature in these three areas by discussing where the current literature stands and what are its future developments.

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Biotechnology is one of a series of new `generic technologies' that have been identified by western governments as possessing stategic economic opportunities. In this thesis I examine the characteristics of the technology and the government policies that have been developed to both promote and exploit the underpinning scientific research for biotechnology. The approach I have taken involves an in-depth analysis of the role of university-industry research relations in the development of biotechnology. To this end I carried out a detailed survey of biotechnology companies in the UK on the nature of their interactions and objectives. Through individual case studies of the SERC and DTI club mechanisms in biotechnology, I provide a contemporary appraisal of the development of new mechanisms involving co-ordination and cooperation between industry, government and academia, established to couple state funded science and national economic development. The public policy implications of the club funding systems for science in the UK are examined.

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In the global economy, innovation is one of the most important competitive assets for companies willing to compete in international markets. As competition moves from standardised products to customised ones, depending on each specific market needs, economies of scale are not anymore the only winning strategy. Innovation requires firms to establish processes to acquire and absorb new knowledge, leading to the recent theory of Open Innovation. Knowledge sharing and acquisition happens when firms are embedded in networks with other firms, university, institutions and many other economic actors. Several typologies of innovation and firm networks have been identified, with various geographical spans. One of the first being modelled was the Industrial Cluster (or in Italian Distretto Industriale) which was for long considered the benchmark for innovation and economic development. Other kind of networks have been modelled since the late 1970s; Regional Innovation Systems represent one of the latest and more diffuse model of innovation networks, specifically introduced to combine local networks and the global economy. This model was qualitatively exploited since its introduction, but, together with National Innovation Systems, is among the most inspiring for policy makers and is often cited by them, not always properly. The aim of this research is to setup an econometric model describing Regional Innovation Systems, becoming one the first attempts to test and enhance this theory with a quantitative approach. A dataset of 104 secondary and primary data from European regions was built in order to run a multiple linear regression, testing if Regional Innovation Systems are really correlated to regional innovation and regional innovation in cooperation with foreign partners. Furthermore, an exploratory multiple linear regression was performed to verify which variables, among those describing a Regional Innovation Systems, are the most significant for innovating, alone or with foreign partners. Furthermore, the effectiveness of present innovation policies has been tested based on the findings of the econometric model. The developed model confirmed the role of Regional Innovation Systems for creating innovation even in cooperation with international partners: this represents one of the firsts quantitative confirmation of a theory previously based on qualitative models only. Furthermore the results of this model confirmed a minor influence of National Innovation Systems: comparing the analysis of existing innovation policies, both at regional and national level, to our findings, emerged the need for potential a pivotal change in the direction currently followed by policy makers. Last, while confirming the role of the presence a learning environment in a region and the catalyst role of regional administration, this research offers a potential new perspective for the whole private sector in creating a Regional Innovation System.