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《Journal of Northeastern University(Social Science)》 2006-02
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Research on Technology Learning of Industrial Value Chain Cluster

DU Xiao-jun,ZHANG Dan-ning(School of Business Administration,Northeastern University,Shenyang 110004,China)  
Industrial value chain cluster is a most common industrial cluster in view of the model to associate companies with each other.The systematic research on technology learning is therefore of significance both theoretically and practically to upgrading the competitiveness of such clusters.Four subclusters form the main knowledge sources,i.e.,the competitors,suppliers,clients and public institutions for an industrial value chain cluster.The technology learning process and potential problems were analyzed transversely and longitudinally.To solve the problems,two learning strategies named "building techno-association network" and "fostering KIBS" are put forward with the intention of improving the whole learning performance of industrial value chain clusters.
【Fund】: 国家社会科学基金资助项目(04BJY004)
【CateGory Index】: F273.1
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