Defining and Measuring High Technology in Georgia

This report defines and measures the high technology sector in Georgia

Innovative Tokyo

This paper compares and contrasts Tokyo's innovation structure with the industrial districts model and the international hub model in the literature on urban and regional development. The Tokyo model embraces and yet transcends both industrial districts and international hub models. The paper details key elements making up the Tokyo model-organizational knowledge creation, integral and co-location systems of corporate R&D and new product development, test markets, industrial districts and clusters, participative consumer culture, continuous learning from abroad, local government policies, the national system of innovation, and the historical genesis of Tokyo in Japan's political economy. The paper finds that the Tokyo model of innovation will continue to evolve with the changing external environment, but fundamentally retains its main characteristics. The lessons from the Tokyo model is that openness, a diversified industrial base, the continuing development of new industries, and an emphasis on innovation, all contribute to the dynamism of a major metropolitan region.Labor Policies,Environmental Economics&Policies,Public Health Promotion,ICT Policy and Strategies,Agricultural Knowledge&Information Systems,ICT Policy and Strategies,Environmental Economics&Policies,Health Monitoring&Evaluation,Agricultural Knowledge&Information Systems,Innovation

Challenges of open innovation: the paradox of firm investment in open-source software

Open innovation is a powerful framework encompassing the generation, capture, and employment of intellectual property at the firm level. We identify three fundamental challenges for firms in applying the concept of open innovation: finding creative ways to exploit internal innovation, incorporating external innovation into internal development, and motivating outsiders to supply an ongoing stream of external innovations. This latter challenge involves a paradox, why would firms spend money on R&D efforts if the results of these efforts are available to rival firms? To explore these challenges, we examine the activity of firms in opensource software to support their innovation strategies. Firms involved in open-source software often make investments that will be shared with real and potential rivals. We identify four strategies firms employ – pooled R&D/product development, spinouts, selling complements and attracting donated complements – and discuss how they address the three key challenges of open innovation. We conclude with suggestions for how similar strategies may apply in other industries and offer some possible avenues for future research on open innovation

R&D activities and technical information flow in Japanese electronic corporations

The paper analyzes R&D-activities of Japanese electronic corporations in the context of the firm’s performance for the period 1986 to 1996. Compared to the R&Dexpenditures- to-sales ratio the profit-on-sales ratio is remarkably low for the whole industry. This stresses the problems which the electrical machinery is facing in a time of growing diversification, extremely high costs for new developments and stiff competition with non-patent-protected products. -- Die Studie untersucht die FuE-Aktivitäten von japanischen Elektrounternehmen in Zusammenhang mit dem Erfolg der Unternehmen im Zeitraum von 1986 bis 1996. Auffällig ist, daß die Umsatzrendite verglichen mit den FuE-Ausgaben in Prozent vom Umsatz bei allen Unternehmen erstaunlich niedrig ist. Das verdeutlicht die Probleme, mit denen diese Branche in einer Zeit zunehmender Diversifikation, extrem hoher Kosten für neue Produktentwicklungen und hartem Wettbewerb im Bereich von nicht patentierten Produkten zu kämpfen hat.

Management and Service-aware Networking Architectures (MANA) for Future Internet Position Paper: System Functions, Capabilities and Requirements

Future Internet (FI) research and development threads have recently been gaining momentum all over the world and as such the international race to create a new generation Internet is in full swing: GENI, Asia Future Internet, Future Internet Forum Korea, European Union Future Internet Assembly (FIA). This is a position paper identifying the research orientation with a time horizon of 10 years, together with the key challenges for the capabilities in the Management and Service-aware Networking Architectures (MANA) part of the Future Internet (FI) allowing for parallel and federated Internet(s)

What Type Of Enterprise Forges Close Links With Universities And Government Labs? Evidence From CIS 2

This paper tries to uncover some of the economic factors that encourage firms to seek information from universities and government labs or to collaborate with these institutions. We exploit the information contained in the second Community Innovation Surveys (CIS2) for France, Germany, Ireland and Spain. We estimate an ordered probit model on the importance of knowledge sourcing from universities and government labs controlling for selection bias, and a trivariate probit model explaining the innovation, collaboration in innovation, and collaboration with universities and government labs decisions with twice censored data. R&D-intensive firms and radical innovators tend to source knowledge from universities and government labs but not to cooperate with them directly. Outright collaborations in innovation with universities and government labs is characteristic of large firms, firms that patent or those that receive government support for innovation. Members of an enterprise group tend to cooperate in innovation but not directly with universities or government labs. Cette étude essaye de découvrir quels sont les facteurs économiques qui poussent les entreprises à chercher de l'information pour innover auprès des universités et des laboratoires publics de recherche ou à coopérer avec ces deux institutions. Nous nous servons des données de la seconde vague d'enquêtes communautaires d'innovation européennes (CIS2) pour l'Allemagne, la France, l'Espagne et l'Irlande. Nous estimons, d'une part, un modèle probit ordonné pour les universités et les laboratoires publics de recherche comme sources d'information, en contrôlant pour un biais de sélection et, d'autre part, un modèle probit trivarié pour les décisions successives d'innover, de collaborer et en particulier de collaborer avec les universités et les laboratoires publics de recherche, avec deux censures des données. Nous trouvons que les entreprises intensives en recherche et les innovateurs radicaux vont chercher de l'information auprès des universités et les laboratoires publics mais ne collaborent pas eux. Ces collaborations sont le fait de grandes firmes, d'entreprises breveteuses, et de celles qui reçoivent du support gouvermental pour innover. Des entreprises qui font partie d'un groupe ont tendance à collaborer mais pas nécessairement avec les universités et les laboratoires publics re recherche.Innovation, industry-university collaborations, knowledge sourcing, government labs, CIS2, Innovation, collaborations universités-entreprises, laboratoires publics de recherche, sources d'information pour innover, CIS2