A Study On Cluster Enterprises Knowledge Transfer Mechanism And Model Based Context Analysis

With the development of economic globalization, industry clusters has become a trend of global economic development. Knowledge economy makes the knowledge as a key competitive advantage in gaining access to strategic resources has been generally accepted. Knowledge management has become the decisive factor that a business to maintain and further expand in competitive advantage. Because of the knowledge management theory and business theory of core competence, the research focus on industrial clusters also began to focuses on cluster knowledge and knowledge management activities. As an important part of knowledge management process, knowledge transfer between enterprises in cluster is the important means to improve the independent innovation capacity of each member and the cluster. However, knowledge transfer is a complex activity. Although, the cluster environment is conducive to knowledge and technology transfer between enterprises in cluster. But, application of knowledge and innovation depends on the specific context; whether the transferred knowledge is able to adapt the new situation will directly affect the effectiveness and results of knowledge transfer. This article took the enterprises in cluster as the research objects to study the mechanism of cluster enterprises knowledge transfer and the problems about cluster enterprises knowledge transfer under contexts from the angle of the context analysis. It expects to better promote the innovation and transformation of knowledge in clusters through realizing effective knowledge transfer between enterprises in cluster. Firstly on the basis of literature, the paper combined with of the types, layers and features of clusters knowledge, and cleared the mechanism of cluster enterprises knowledge transfer through analyzing the trust mechanism, power mechanism, and process mechanism of industry cluster enterprises. Second, based on context embeddings of knowledge, the paper analyzed the relevant contexts of enterprises knowledge transfer under the cluster environment and found out the key elements of context. Again, based on the above theoretical study, the paper constructed cluster enterprise knowledge transfer context model and analyzed the mechanism of each context factor to cluster enterprises knowledge transfer. It used the CA method to simulate the roles of each context element to cluster enterprises knowledge transfer. Finally, through the questionnaire, the papers studied tests on the simulation results of cluster enterprises knowledge transfer under the action of contexts.Full-text is divided into eight chapters:ChapterⅠ, introduction. Paper introduced the research background, raised the issue of the research, described the significance and objectives, cleared research targets and methods, presented research content, overall structure, technology route and innovation.ChapterⅠ,relevant research literature review. Through sorting out domestic and international industrial clusters, knowledge, knowledge management, knowledge transfer and knowledge transfer contexts related research in theory, this study defined the related concepts including knowledge, knowledge management process, knowledge transfer and knowledge context, etc. It reviewed the related research.ChapterⅢ, analysis the mechanism of cluster enterprises knowledge transfer. Combined with the types, layers and the main features of the industrial cluster knowledge, the paper analyzed the knowledge flows in clusters and localization knowledge spillovers.The study distincted the main body of knowledge transfer in cluster, made a detailed analysis on the trust mechanism, dynamic mechanism and process mechanism of cluster enterprises knowledge transfer, and proposed the model of cluster enterprises knowledge transfer.ChapterⅣ, context analysis of cluster enterprises knowledge transfer. Explaining the context and situational of knowledge and analyzed the enterprises knowledge context and characteristics of it, the paper presented three different context model of cluster enterprise knowledge transfer. On this basis, paper gave a multi-dimensional context study framework of cluster enterprise knowledge transfer, made a detailed analysis on each type of context dimensions, and sub-divided the sub-contextlements constituted the each type of context dimensions.ChapterⅤ, construction of the cluster enterprises context knowledge transfer model. According to the multi-dimensional context study framework of cluster .enterprise knowledge transfer in chapter IV and the sub-context elements divided to each type of context dimensions, the study constructed the cluster enterprises context knowledge transfer model, and analyzed the mechanisms of each context to cluster enterprises knowledge transfer in the model.Chapter VI, the dynamic evolution of cluster enterprises knowledge transfer under contexts. Based on the cluster enterprises context knowledge transfer model built in chapter IV and the analysis on mechanisms of various context elements. The paper used the CA method, designed the CA algorithm of cluster enterprises context knowledge transfer. By the algorithm, it realized the simulation of the dynamic evolution of cluster enterprises knowledge transfer. According to the simulation results, the paper analyzed the role of different context elements to cluster enterprises knowledge transfer.Chapter VII, the empirical study on the mechanism of context to cluster enterprises knowledge transfer. Based on the design of cluster enterprises context knowledge transfer questionnaire, this chapter obtained samples data through surveying to the part of the cluster enterprises. Through statistical analyzing and discussing to obtained sample data, the paper made an empirical test to the theoretical model and simulation results. On this basis, the paper discussed some of the measures to improve the effect of cluster enterprises knowledge transfer from the perspective of context management and control.Chapter VIII, the conclusions and prospects. In the chapter, it summarized the main conclusions of thesis, analyzed the limitations of this study, and proposed the future research prospects.The conclusions of this study as following:1, Enterprises are the core subjects of knowledge transfer in cluster. Knowledge potential difference between enterprises in industry cluster is the main driver knowledge transfer, trust mechanism is an important prerequisite and infrastructure for knowledge transfer and process mechanism is a means of knowledge transfer.2, Knowledge is context embedded. The knowledge transfer between enterprises in industry cluster will inevitably be influenced by a series of context factors. There are three cluster enterprises knowledge transfer context patterns including similar metastasis, difference transfer and strategic transfer.3,The context factors influenced the cluster enterprises knowledge transfer are multidimensional, which can be divided into the main context dimension, the transferred knowledge characteristics context dimension and the distance context dimension between the knowledge transfer main enterprises in cluster. Among them, the main cluster knowledge transfer enterprises context dimension is divided into the sender enterprises context dimension and recipient enterprises context dimension. The former includes the knowledge transfer willing and capacity of the sender enterprise, the later includes the knowledge accept wishes, knowledge learning and absorptive capacity of the recipient enterprises. The transferred knowledge characteristics context dimensions include the organizational memory, complexity and tacit of transferred knowledge. The distance context dimension between the knowledge transfer main enterprises include cluster knowledge distance, relationship distance and organizational distance between the knowledge transfer main enterprises. Different context elements have different influence on cluster enterprises knowledge transfer.4,Simulation research obtained the results about the relationships of the context factors influence to cluster enterprises knowledge transfer include:the sender wishes of knowledge transfer, knowledge transfer capabilities of the sender enterprises, the knowledge accept wishes, knowledge learning and absorptive capacity of the recipient enterprises have significant positive influences to cluster enterprises knowledge transfer. The organizational memory, complexity and tacit of transferred knowledge have significant negative effects to cluster enterprises knowledge transfer. The knowledge distance between the knowledge transfer main enterprises has an inverted "U" relationship with cluster enterprises knowledge transfer. Generally, relationship distance and organizational distance between the knowledge transfer main enterprises have positive influence to cluster enterprises knowledge transfer.5,Comparing the results of empirical research and simulation, except the simulation results of the knowledge accept wishes are partly supported, the simulation results of the transferred knowledge tacit obtained the opposite conclusion, as well as the simulation results of the knowledge distance between the knowledge transfer main enterprises are basically supported, other context factors simulation results on the influence to cluster enterprises knowledge transfer have been supported by empirical research.6, Based on the results of simulation analysis and empirical test, paper proposed partial strategies to enhance the effect of cluster enterprises knowledge transfer from the point of effective management and control the context elements of cluster enterprises knowledge transfer, which included:improving the motivation and willingness to transfer knowledge of knowledge transfer main enterprises in industrial cluster, culturing and enhancing the capacity of the knowledge source enterprises and knowledge accept enterprises in industrial cluster, establishing and improving the trust mechanism between the knowledge transfer main enterprises in cluster, building cooperation relationship between cluster knowledge transfer on trust-based,etc.