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Visualization Analysis On The Research Fronts And Academic Community Of International Technological Innovation

Posted on:2011-07-07Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z L XuFull Text:PDF
GTID:1119360305455636Subject:Management Science and Engineering
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On the premise of the distributing characteric of statistic analysis of the research document of international technological innovation, the dissertation analyzes the research fronts and science community on international technological innovation based on citation analysis and cluster analysis and social networks analysis and frequency analysis of biblometrics and scientometrics with the newest information visualization technology.The dissertation opens up the distributing characteric of the subject and time and institution and country or area of the research document of international technology innovation from 1959 to 2008 by the statistic analysis of document. The view of subject and journal indicates that the research of international technology innovation centralizes on mostly management and economics, and mostly come about from the view of economics resesarch to the view of management research in view of the development history of the research of technological innovation; the distribution of time indicates that the academe had very much given its attention to the research of technological innovation since 90 age in 20 century; the distribution of institution and country or area indicates that some countries or areas and universities are the mightiness of international technological innovation in North Amercia and Europe.On the base of the drawing the clustering mapping knowledge domain of document co-cited of evoluting of time-zone view of the research fronts on international technological innovation, cited document with 10 years becoming time slice serve as knowledge base from 1959 to 2008, and the computation outcome displays that the research fronts and research subjects denoted by title words of corresponding citing document are evoluted with nonlinear evolution model and the research subjects separately contralizes on "60-70 times in 20 century:the relation theory function of technological innovation and economic effect and productivity, etc.", "70 times in 20 century-21 century early:the relation between technological innovation and the government policy, etc ", "80 times in 20 century-21 century early:the relation between the collaborate network of technological network and technological progress, etc", "21 century early:the relation between the collaborate network of technological network and technological learning, etc", "21 century early:the relation between technological change and knowledge, etc"; the dissertation explains the evolution mechanism of the research fronts and research subjects of international technological innovation from point of view of citation analysis of cited document acting on citing document by knowledge flow and the extrinsic factor of technological innovation dynamics, including S&T advancement and social need and market competition and government policy lately 50 years, etc.Based on the document co-cited analysis of the clustering mapping knowledge domain of evoluting of cluster view of the research fronts on the contemporary international technological innovation, the computation analysis knows that the descriptors of citing document express the research fronts and research subjects, and the core research subjects is "the innovation chain on the base of the theory of evolutionary and knowledge", the sub research subjects are separately "innovation triple helix and core competence" and "R&D and innovation of firm resource-based" and " collaboration innovation and the growth of firms under the national innovation system ", the edge research subjects are separately "behavior medicine and population quality" and "engineering design and engineering education" and "zoology toxicology and disposal technology of micropollutants" and "new pattern clinic test and diagnosis" and "embryo germ cells and gene technology"; the dissertation annotates that the R&D and innovation and growth of industry&firm is the inherence ligament of knowledge cluster forming of the research fronts of contemporary international technological innovation from point of view of citation analysis and technological innovation dynamics.Based on the author co-cited analysis, the dissertation draws the clustering mapping knowledge domain of evoluting of cluster view of the research on contemporary international technological innovation, the computation outcome indicates that that there are 8 major mainstream science community in the research on contemporary international technological innovation, and the mainstream research domains that it pays attention to are separately"national and industrial innovation system in view of evolution","endogenesis technological innovation of firm&industry"," innovation and growth of firm&industry in view of evolution","the relation between innovation and knowledge management of firm&industry under the view of evolution"," innovation and knowledge spillover"," the relation between R&D and growth of firm&industry under the of the paradigm of open innovation"," the relation between the performance of product innovation and knowledge management","the relation between innovation and organization enviroment of firm&industry in view of dynamic capability"; the dissertation illustrates that the relation the growth of industry & firm and R&D and innovation and knowledge is the core research domains that the mainstream science community of the research on contemporary international technological innovation pay closely attention to, and the core thought that every mainstream science community takes place citation connection and forms cluster from point of view of citation analysis and technological innovation dynamics. At last, the research work of the dissertation is summed up and discussised to its shortage, and put forword more research dirctions.
Keywords/Search Tags:Technological innovation, Research Fronts, Academic community Scientometrics, Visualization Analysis
PDF Full Text Request
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