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The Influence Of Multidimensional Proximity On The Knowledge Transfer Performance Of Non-core Enterprises In Innovation Network

Posted on:2018-07-01Degree:MasterType:Thesis
Country:ChinaCandidate:H H ZhengFull Text:PDF
GTID:2429330512999018Subject:Technical Economics
Abstract/Summary:PDF Full Text Request
In the open innovation mode,it is more and more difficult for enterprises to carry out technological innovation solely on their own ability.If the enterprise wants to improve the innovation performance,it should take the initiative to establish extensive contact with the outside world.Therefore,the organization form such as innovation network,industrial cluster and strategic alliance more and more appears in the economic activities.According to the location of the enterprise in the innovation network is different,enterprise can be divided into the core enterprise and non-core enterprises.Knowledge transfer process is an important activity of enterprises in the innovation network.It plays a key role in the enterprise's continuous innovation and gaining competitive advantage,especially non-core enterprises with less knowledge reserves and less innovation ability.With the deepening of research,the academic research on innovation network has a new perspective-multidimensional proximity,trying to study the influence of multidimensional distance on knowledge transfer performance.This paper chose the perspective of multidimensional proximity,combining with non-core enterprises and knowledge transfer performance,explores the influence of geography proximity,knowledge proximity,social proximity and its interaction on the performance of non-core knowledge transfer,and try to find out whether there is complementary and alternative relationship between multidimensional proximity.On this basis,this paper presents 9 hypothesis to be tested.The data from this paper is based on the questionnaire of nearly 200 enterprises in the automobile industry chain in Liaoning province.In this paper,we construct the SEM-PLS structural equation model and test the nine theoretical hypotheses with empirical results.Through the empirical test,the following conclusions are drawn:(1)The proximity of geography is not significant to the knowledge transfer performance of non-core enterprises in the innovation network;(2)The knowledge proximity and social proximity has a significant positive effect on the non-core enterprise knowledge transfer performance.(3)Knowledge proximity can promote social proximity,the interaction between knowledge proximity and social proximity can promote knowledge transferperformance,and the proximity of knowledge and social proximity is complementary to the promotion of knowledge transfer performance of non-core enterprises.(4)Geographic proximity can promote social proximity,while social proximity can promote knowledge transfer performance,and geography proximity can promote knowledge transfer performance by promoting proximity to other dimensions.Finally,based on the empirical research results,this paper puts forward some suggestions on how to promote the knowledge transfer performance of non-core enterprises in innovation network and improve the overall innovation performance of the network.The innovation of this paper is,this research based on the non core enterprises,study on the influence of multidimensional proximity on knowledge transfer performance of non core enterprises.This paper not only study the influence of multidimensional proximity and the interaction effect on knowledge transfer performance,but also analyze the mutual influence between multidimensional proximity,rich the concept of the previous model.At the conclusion of the study,this paper creatively believes that although the geographical proximity has no direct effect on knowledge transfer performance of non-core enterprises,but can promote other dimensions,therefore has an indirectly impact on knowledge transfer performance.
Keywords/Search Tags:Innovation network, Multidimensional proximity, Knowledge transfer performance, SEM-PLS
PDF Full Text Request
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