Globalisation of Innovation The Role of Multinational Enterprises

This paper undertakes a brief evaluation of the trends in the internationalization of innovative activities. We provide a taxonomy of R&D internationalization strategies, and discuss the main relevant theoretical and empirical issues, before discussing the centripetal and centrifugal forces underlying the nature and evolution of cross border innovation. We address the issue of international technology partnering as a key strategy that is complementary to the internationalisation of innovative activities through internal means, before raising important policy dimensions and directions for future research that derive from these debates.R&D internationalization, globalisation, multinationals, alliances, technology policy

R&D Productivity and the Organization of Cluster Policy: An Empirical Evaluation of the Industrial Cluster Project in Japan

Industrial clusters have attracted increasing attention as important locations of innovation. Therefore, several countries have started promotion policies for industrial clusters. However, there are few empirical studies on cluster policies. This paper examines the effects of the “Industrial Cluster Project” (ICP) in Japan on the R&D productivity of participants, using a unique dataset of 229 small firms, and discusses the conditions necessary for the effective organization of cluster policies. Different from former policy approaches, the ICP aims at building collaborative networks between universities and industries and supports the autonomous development of existing regional industries without direct intervention in the clustering process. Thus far, the ICP is similar to indirect support systems adopted by successful European clusters. Our estimation results suggest that participation in the cluster project alone does not affect R&D productivity. Moreover, research collaboration with a partner in the same cluster region decreases R&D productivity both in terms of the quantity and quality of patents. Therefore, in order to improve the R&D efficiency of local firms, it is also important to construct wide-range collaborative networks within and beyond the clusters, although most clusters focus on the network at a narrowly defined local level. However, cluster participants apply for more patents than others without reducing patent quality when they collaborate with national universities in the same cluster region.Industrial cluster; University-industry partnership; Small and medium enterprise; R&D; Patent

What Determines the Innovative Success of Subsidized Collaborative R&D Projects? – Project-Level Evidence from Germany –

Systemic innovation theory emphasizes that innovations are the result of an interdependent exchange process between different organizations. This is reflected in the current paradigm in European innovation policy, which aims at the support of collaborative R&D and innovation projects bringing together science and industry. Building on a large data set using project-level evidence on 406 subsidized R&D cooperation projects, the present paper provides detailed insights on the relationship between the innovative success of R&D cooperation projects and project characteristics. Patent applications and publications are used as measures for direct outcomes of R&D projects. We also differentiate between academic-industry projects and pure inter-firm projects. Main results of negative binomial regressions are that large-firm involvement is positively related to pa-tent applications, but not to publications. Conversely, university involvement has positive effects on project outcomes in terms of publications but not in terms of patent applications. In general, projects’ funding is an important predictor of innovative success of R&D cooperation projects. No significant results are found for spatial proximity among cooperation partners and for the engagement of an applied research institute. Results are discussed with respect to the design of R&D cooperation support schemes.R&D Cooperation, Innovation, Academic-Industry-Linkages, Innovation Policy

Technological convergence in the IT industry : the role of strategic technology alliances and technological competencies

Abstract not availableeconomics of technology ;

Strategic Knowledge Measurement and Management

Knowledge and intellectual capital are now recognized as vital resources for organizational survival and competitive advantage. A vast array of knowledge measures has evolved, spanning many disciplines. This chapter reviews knowledge measures focusing on groups of individuals (such as teams, business and organizations), as they reflect the stock or flow of knowledge, as well as enabling processes that enhance knowledge stocks and flows. The chapter emphasizes the importance of organizational value chains, pivotal talent pools and the link between knowledge and competitive success, in understanding the significance of today’s knowledge measures, and opportunities for future research and practice to enhance them

The emergence of care robotics: A publication and patent analysis

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From knowledge dependence to knowledge creation: Industrial growth and the technological advance of the Japanese electronics industry

The thrust of the argument put forward in this paper is that the postwar technological advance of the Japanese electronics industry was in essence a product not a primary cause of industrial growth. We demonstrate that the industry's surge forward resulted from the interaction of a unique combination of political, economic and cultural forces. Business leaders took full advantage by investing on a massive scale in physical, organizational, human and technological resources. It was success in the marketplace and strong cash flows that allowed Japanese firms to import technology on a large scale, invest in scientists and engineers, and progressively develop world class technological capabilities. In establishing themselves as global players, Japanese electronics firms moved over the years from a position of knowledge dependence to one of knowledge creation. We explore how this transformation was achieved and how they learned to control and exploit knowledge creating systems and processes. In particular, we establish the multi-faceted context and complex set of relationships that have conditioned strategic decision making and the creation of technological capabilities