8,806 research outputs found

    Linking science to technology: using bibliographic references in patents to build linkage schemes.

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    In this paper, we develop and discuss a method to design a linkage scheme that links the systems of science and technology through the use of patent citation data. After conceptually embedding the linkage scheme in the current literature on science-technology interactions and associations, the methodology and algorithms used to decelop the linkage scheme are discussed in detail. The method is subsequently tested on and applied to subsets of USPTO patents. The results point to highly skewed citation distributions, enabling us to discern between those fields of technology that are highly science-interactive and those fields where technology develoment is highly independent from the scientific literature base.Science; Patents; Systems; Data; Algorithms; Distribution;

    In search of performance effects of (in) direct industry science links.

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    Using patent data from the European Patent Office combined with firm level data, we evaluate the contribution of science linkages to the innovation performance of a firm at the patent level. We examine the effect of i) firm level linkages to science (firms active in publication and copublication), and ii) invention-specific linkages (patents with citations to scientific publications) on patent quality measures. Our results suggest that citations to scientific publications are not significant in explaining forward citations but are positively related to the scope of forward citations, both in terms of generality and geographical dispersion. Our main finding is that it is the linkage to science at the firm level that matters more for forward citations, except for patents in emerging technologies. In particular, non-science related patents of firms with firm level scientific linkages are more frequently and more quickly cited than comparable patents of firms without these science linkages.Citations; Data; Firm level data; Firms; Forward citation; Industrial innovation; Innovation; IT; Linkage; Patent; Patents; Performance; Publications; Quality; Research; Science; Technology; Value;

    Diversity of science linkages and innovation performance: Some Empirical Evidence from Flemish firms.

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    This paper examines the diversity of the types of links of firms to science and their effect on innovation performance for a sample of Belgian firms. While at the industry level links to science are highly related to the R&D intensity of the sector, we show that there exists considerable heterogeneity in the type of links to science at the firm level. Overall, firms with a science link enjoy superior innovation performance, in particular with respect to innovations that are new to the market. At the invention level, our findings confirm that patents from firms engaged in science are more frequently cited and have a broader technological and geographical impact, but we show that it is crucial to distinguish between direct science links at the invention level and indirect science links at the firm level to encounter these distinct positive effects of science links.Innovation; Cooperation; Patents; forward citation; science; industrial innovation;

    Science linkages and innovation performance: An analysis on CIS-3 firms in Belgium

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    This paper examines the diversity of linkages of firms to science and their effect on innovation performance for a sample of Belgian firms (CIS-3). While at the sectoral level links to science are highly related to the R&D intensity of the sector, we show that there is considerable heterogeneity in the type of links to science at the firm level. Overall, firms with a science linkage -which can be of various sorts- have superior innovation performance, in particular with respect to innovations new to the market. At the invention level, our findings confirm that patents from firms engaged in science are more frequently cited and have a broader technological and geographical impact, but we show that it is crucial to distinguish between direct science links at the invention level and indirect science links at the firm level to encounter these distinct positive effects of science links. Therefore, Science & Technology indicators should control for both invention-level and firm-level science links to really account for the effect of these industry-science links.Innovation; patents; forward citation; science; industrial innovation;

    Matrices of science and technology interactions: implications for development

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    Scientific and other non-patent references (NPRs) in patents are important tools to analyze interactions between science and technology. This paper organizes a database with 514,894 USPTO patents granted globally in 1974, 1982, 1990, 1998 and 2006. There are 165,762 patents with at least one reference to science and engineering (S&E) literature, and there are 1,375,503 references. In 2006 there are 83 countries with USPTO patent citing S&E literature. Through a lexical analysis 71.1% of this S&E literature is classified by S&E fields. These data underscore the elaboration of global and national tri-dimensional matrices (by OST technological domains, ISI science and engineering fields and number of references). Descriptive statistics investigate how science and technology linkages differ over time across countries and across levels of development. This paper highlights how the existence (or not) of a pattern of structured growth differentiates mature and immature systems of innovation.science and technology linkages, stages of economic development, systems of innovation

    Do Inter-sectoral Linkages Matter for International Export Specialisation?

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    This paper basically adopts a ‘technology gap’ approach for explaining international export specialisation. Within this broad label there has been one tradition which has applied cumulativeness in technological change as an explanation, while another tradition has emphasised the role of inter-sectoral linkages (the so-called home market effect) in this context. However, given that the sources of innovation (inducements mechanisms) differ between firms according to principal sector of activity, different variables should not be expected to be of equal importance across industrial sectors. Thus, using the Pavitt taxonomy as a starting point, the paper statistically investigates the importance of variables reflecting different inducement mechanisms, across 9 OECD countries. The paper concludes that the two types of technological activities, namely technological activities in the ‘own’ sector, and inter-sectoral linkages are both important in the determination of national export specialisation patterns. However, the importance differ according to the mode of innovation in each type of sector.international export specialisation, patent data, input-output analysis, inter-sectoral li

    INNOVATION INDICATORS DERIVED FROM PATENT DATA

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    The patent system is one of the oldest institutions of market societies and it is designed to promote and diffuse innovation. A patent gives the inventor exclusive rights over the commercial exploitation of the invention for a limited period in return for publication of the invention. Patents provide a very valuable source of information on the temporal, geographical, sectoral and technological distribution of inventions. In the article the following patent indicators are discussed: Number of patents, patent growth percent in area, percent of company patents in area , cites per patent, current impact index, technology strength, technology cycle time, science linkage, science strength

    Patent related indicators for assessing knowledge-generating institutions: towards a contextualised approach.

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    This contribution aims at examining the extent to which patent related indicators are relevant for shedding light on the notion of excellence within knowledge generating institutions. Traditionally, excellence has been looked upon as the ability to create interesting and valuable new scientific concepts, theories and data. From such a perspective, scientific excellence can be assessed through scientometric measures of publication output and impact. The recent interest in the 'entrepreneurial' phenomenon within knowledge generating institutes justifies efforts to examine the relevancy of broadening the set of indicators used to assess such institutions into the direction of entrepreneurial excellence. In this paper we will examine the relevancy of using patent data in order to delineate such additional, more entrepreneurial oriented, indicators. The arguments and findings presented in this respect will lead us to a plea for the use of these indicators in a contextualized manner.Science; Effectiveness; Patents; Country; Performance; Variance analysis;

    The effects of regional scientific opportunities in science-technology flows: Evidence from scientific literature cited in firms' patent data

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    From a spatial perspective, it is well known in the literature on innovation and technological change that scientific research undertaken in the universities plays an important role as an instrument for stimulating economic growth. In general, the analysis of particular spaces, such as high technology districts or regional systems of innovation, has shown, by means of a descriptive methodology, the relevance of scientific research as a driver of regional development. With the application of spatial econometric methods, important contributions have also been made in clarifying the spillover effects of university activities. However, quantitative research on these aspects in regional contexts is still very limited. The objective of this study is to advance, from a quantitative point of view, in the knowledge of the science-technology flows from a regional perspective. We set out to answer the following kinds of question: How are science-technology flows distributed regionally? Which sectors of industry are the most dynamic in their employment of scientific knowledge? Which are the scientific fields that are most closely associated with regional industry? What factors influence the regional variability of science-technology flows? How does regional expenditure on scientific research affect science-technology flows? The methodology utilised in this study is based on the scientific citations in patent documents (NPC), and has previously only been applied in national contexts. In other words, we assume that the NPC citations, or the scientific citations, are an adequate measurement of the science-technology flows in regional contexts, too. After describing the spatial and sectorial patterns, we propose to identify the explanatory factors by modelling the citations in patent documents (taking this variable as a proxy for the science-technology flows) in function of a set of three blocks of explanatory factors: businesses (microeconomic variables), industries (sectorial variables) and spatial contexts (variables of location and of the scientific environment). The model is of the microeconomic type and the most appropriate formulation, given the nature of the endogenous variable, is that of the counted data type. The statistical data originate from a comprehensive review of the 1,643 patents applied for by 1,129 companies, and published during the years 1998 to 2001, both inclusive. The basic source of data is the domestic patent documents themselves, published by the Spanish Office of Patents and Trade Marks. This information has been tabulated to obtain regional indicators of science-technology flows and the variables for inclusion in the model. The statistical treatment of the primary information and the operation of the model provide us with objective data that may serve as an additional point of reference for reflecting on the incidence on the regional productive system of specific measures taken under regional scientific policies.

    'Triad' or 'Tetrad'? On global changes in a dynamic world.

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    The US-EU race for world leadership in science and technology has become the favourite subject of recent studies. Studies issued by the European Commission reported the increase of the European share in the world's scientific production and announced world leadership of the EU in scientific output at the end of the last century. In order to be able to monitor those types of global changes, the present study is based on the 15-year period 1991-2005. A set of bibliometric and technometric indicators is used to analyse activity and impact patterns in science and technology output. This set comprises publication output indicators such as (1) the share in the world total, (2) subject-based publication profiles, (3) citation-based indicators like journal- and subject-normalised mean citation rates, (4) international co-publications and their impact as well as (5) patent indicators and publication-patent citation links (both directions). The evolution of national bibliometric profiles, 'scientific weight' and science-technology linkage patterns are discussed as well. The authors show, using the mirror of science and technology indicators, that the triad model does no longer hold in the 21st century. China is challenging the leading sciento-economic powers and the time is approaching when this country will represent the world's second largest potential in science and technology. China and other emerging scientific nations like South Korea, Taiwan, Brazil and Turkey are already changing the balance of power as measured by scientific production, as they are at least in part responsible for the relative decline of the former triad.Research; World; Science; Science-and-technology; Technology; Studies; Order; Indicators; Impact; Patterns; International; Patent; Linkage; Model; Power; Time; Country;
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