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The purpose of this article is to describe the development of the NHS Clinical Governance Support Team's (CGST) information products, with a focus on good practice “eurekas” and an integrated management system for storing knowledge and learning; an intranet‐based “action points” system.

The process behind development of a set of products and a system to capture and share good practice in health care.

To ensure that good practice in clinical governance was being disseminated effectively, and to celebrate success, the CGST developed “eurekas” as short, structured accounts of local improvements to health care. To enhance the number of “raw” eurekas turned into finished, online products, the process of production was streamlined through an online “action points” system. This is an effective knowledge management tool for storing, retrieving and monitoring the development of information into a range of products for sharing across the NHS (e.g. stories, case studies). The system was developed in parallel with the team's website and intranet.

The stages in development of CGST information products since 2000 are outlined, along with the principles behind an efficient system for capturing good practice and CGST learning. Tips on information product development and distribution are given.

Describes the Eureka program that promotes multinational industrial R&D in Europe, and provides examples of recent Eureka projects in the area of robotics and automation.

In the context of fears that the European information and communication technology (ICT) sector may be facing a period of crisis, this paper seeks to examine the changing role of national‐level policy initiatives to enhance the competitiveness of European ICT producers.

The article is based upon a study of 176 national programs that are aimed specifically or in substantial part at ICT producer goods. This supply‐side focus provides a counterpoint to studies that concentrate on demand stimulation and aggregation measures, which generally make up a much larger share of national policy programs. A comparative analytical framework is used that takes account of the different composition and structure of the ICT industries in the EU member states.

The key findings are that technology development programs continue to dominate but that the emphasis is shifting from ICT producer goods as such to the application and coordination of ICT products and services across a wide range of industry contexts. This process takes different directions depending upon national political and administrative structures and historical national attitudes to industry policy.

The article gives evidence about sector specific strategies for supporting the competitiveness of the ICT sector and forms the basis for the identification of best practice examples.

The purpose of this paper is to analyse a firm’s internal and external drivers of formal and informal open innovation (OI) practices. To enrich the analysis and to obtain more robust results, the authors checked the study’s hypotheses using samples from two European regions, Navarre (Spain), classified an innovator follower, and Noord-Brabant (Netherlands), an innovator leader.

The sample selected includes manufacturing and service firms that completed the Community Innovation Survey for the year 2008 in both regions. The final sample had 1,288 observations from Navarre and 623 observations from Noord-Brabant. The authors consider two OI dimensions, breadth of information sources for informal OI practices and breadth of cooperation agreement for formal OI practices. Finally, the estimates were performed by means of a negative binomial regression.

Results indicate that for the internal drivers, product-related motives to innovate and in-house R&D intensity are strong drivers for both formal and informal OI engagement in general, while the influence of process- and environmental-related motives are context dependence.

This study distinguishes between formal (i.e. cooperation activities) and informal (i.e. external sources of information used for new ideas) inbound OI practices, while most of the literature has focussed on one single type of OI practice. The use of two samples coming from two different European regions allows observe whether the adoption motives of the OI practices are robust independently from the firms’ location or if they vary across regions owing to context dependence.

La innovación abierta (IA) ha demostrado ser crucial para aumentar la innovación y el desempeño económico de las empresas. Sin embargo todavía existe una comprensión limitada de los factores que impulsan realizar esta IA. El principal objetivo de este artículo es arrojar luz en esta dirección al analizar simultáneamente los determinantes internos y externos que llevan a las empresas a realizar prácticas formales e informales de IA.

Las hipótesis son contratadas con muestras de dos regiones europeas, Navarra (España), calificada como región seguidora en innovación, y Noord Brabant (Países Bajos), líder innovador. La muestra seleccionada incluye empresas manufactureras y de servicios que completaron la Community Innovation Survey (CIS) 2008.

Los resultados indican que, para los determinantes internos, los motivos relacionados con la búsqueda de innovaciones en producto y la intensidad interna de I + D son fuertes impulsores para todas las prácticas de IA, mientras que la importancia de los motivos relacionados con la obtención de innovaciones en proceso y medioambientales dependen del contexto regional. En cuanto a los factores externos, la política pública influye en la adopción de IA tanto formal como informal, pero estos resultados varían entre las regiones dependiendo del origen de los fondos.

El estudio presenta importantes implicaciones para la literatura en IA. En primer lugar, mientras la mayoría de la literatura analiza un único tipo de prácticas de IA, este estudio distingue prácticas formales e informales de IA y estudia sus determinantes internos y externos simultáneamente. Segundo, las hipótesis son contrastadas en dos regiones europeas diferentes. Esto permite observar si los resultados obtenidos son robustos independientemente de la localización de las empresas o si varían dependiendo del contexto de ambas regiones.

A inovação aberta (IA) provou ser crucial para aumentar a inovação e o desempenho económico das empresas. No entanto, ainda há uma compreensão limitada dos fatores que conduzem essa IA. O principal objetivo deste artigo é lançar luz nessa direção, analisando simultaneamente os determinantes internos e externos que levam as empresas a realizar práticas de IA formais e informais.

As hipóteses são contratadas com amostras de duas regiões européias, Navarra (Espanha), classificada como uma região de inovação, e Noord Brabant (Holanda), um líder inovador. A amostra selecionada inclui empresas de fabricação e serviços que completaram o Community Innovation Survey (CIS) 2008.

Os resultados indicam que, para os determinantes internos, os motivos relacionados à busca de inovações no produto e na intensidade interna de P & D são fortes impulsionadores para todas as práticas de IA, enquanto a importância dos motivos relacionados à obtenção Inovações em processo e ambientes dependem do contexto regional. Em relação aos fatores externos, observamos que a política pública influencia a adoção de IA formal e informal, mas esses resultados variam de acordo com as origens dos fundos.

O estudo apresenta implicações importantes para a literatura em IA. Primeiro, enquanto a maioria da literatura analisa um único tipo de práticas de IA, este estudo distingue práticas formais e informais de IA e simultaneamente estuda seus determinantes internos e externos. Em segundo lugar, as hipóteses são contrastadas em duas regiões européias diferentes. Isso permite verificar se os resultados obtidos são robustos independentemente da localização das empresas ou se variam de acordo com o contexto de ambas as regiões.

The purpose of this paper is to suggest indicators for evaluating Iran national nanotechnology plan at the policy and program levels. Governments are required to evaluate their policies to be accountable to their audience and to improve their policies. The evaluation of nanotechnology policies both in academic and governmental institutions has been mainly confined to measuring the research and development outputs, while explicit models are required for evaluating national nanotechnology policies and programs. In other words, although policies are translated into several activities, it does not mean that the evaluation of activities results in holistic policy evaluation.

The present research uses a qualitative method to explore the process of developing a model for assessing nanotechnology policymaking in Iran. Expert opinions have been collected and analyzed by using local and international surveys to validate different elements of the model.

The model includes the evaluation time-frame, criteria and indicators for policy and program levels. Assessment at program and policy levels, as distinct from activity evaluation, measures the ultimate objectives of a policy intervention, based on which the outcome and impact indicators should be developed. This paper argues that the Iran national nanotechnology policy should be evaluated and revised triennially based on the model in which 46 outcome and impact indicators are included under three general criteria of appropriateness, efficiency and effectiveness. A number of these indicators should be evaluated annually or biannually.

The evaluation of nanotechnology plans has been mainly limited to assessing the research and development outputs that are related to the activity level. The main value of this work is developing outcome and impact indicators that are related to policy and program levels.

This paper examines the impact of technological alliance announcements in a nonfavorable environment, using event study methodology that includes robust tests to allow heteroskedasticity across firms and over time. The study is based on Spanish data, and focuses on the fact that Spanish market conditions do not favor firms that are deciding whether to enter a technological alliance. The paper is extended to analyze different features of alliances. Results suggest no stock market reaction on the day of the announcement, and a negative reaction on the days that follow. Our results also show that the stock market exacts no penalty on joint venture alliances, alliances involving public entities, alliances between Spanish firms, or alliances between competitors. The common feature revealed in these subgroups is the pursuit of security, a phenomenon that is consistent with the study environment.

Operating at the crossroads of higher education, librarianship, technology application, and service delivery, the Research Libraries Group (RLG) is a powerful partner to institutional efforts. For 20 years, it has identified critical research needs, provided responsive solutions, and expanded access to new and untapped information resources. With its highly skilled staff, sophisticated technical resources, and successful track record in managing and supporting interactions among its members, RLG is well positioned to help research institutions address the information challenges of the 1990s.

The purpose of this paper is to verify the impacts of the transaction costs rationale on economic agents’ innovative results when they engage in European R & D networks, supplying both firms and policymakers with empirical support for improved decision making toward economic competitiveness and construction of the European research area. Furthermore, unlike many transaction cost economics assessments, the authors evaluate the existence of transaction costs following a dynamic framework of analysis (instead of using solely ex ante governance choice as a driver of inter-firm “friction” management), offering a novel perspective on these phenomena.

Data consist of firm-level information from Eureka’s Final Reports (1995-2006) for Spanish, Italian, French, British and German firms. Empirical assessments were performed through a two-step approach of direct and indirect effects of network management and potential sources of disturbances. Ordinal regressions were applied in order to identify transaction costs’ relevance as drivers of firms’ technological and commercial outcomes, as well as on managerial quality of alliances. Statistical controls include microeconomic and project-specific variables.

Results highlight the role played by transactional aspects as drivers of companies’ outcomes and managerial complexity. Furthermore, the authors find robust evidence that formal ex ante governance structures are incapable of satisfactorily addressing dynamic disturbances that take place within R & D networks. Whereas such findings are directly related to existing transaction costs, the authors find no support for the usual variables attributed to increased complexity in international inter-firm relationships.

Self-selection issues are inherently related to the research instrument (i.e. Eureka’s Reports), while further firm-level data could not be obtained since confidentiality issues protected companies’ names and sectors. Also, network-level data are not available, allowing the evaluation of individual perceptions only.

While literature addresses the issue of transaction costs in R & D networks via theoretical assumptions and rough proxies, this assessment offers an in-depth evaluation of a set of valuable indicators with direct implications for researchers, managers and policymakers. Main contributions concern the identification of dynamic interactions (and their respective disturbances) as a key feature of the overall performance of R & D networks, stressing the non-linearity of economic processes in these hybrid relationships, an issue that has been poorly tackled by previous empirical investigations.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.