Research On The Relationship Between Double - Relationship Embedding, Dynamic Capability And Innovation Performance Of Cluster Enterprises

Industrial cluster has become the main motive force of domestic regional economic growth, but most of domestic industry cluster still remains at low-end industrial chain and value chain and exist the "high-end in but low-end out" abnormal phenomenon at present. The deep reason for this situation is that the efficiency of cluster firm obtaining resource from the cluster internal and external innovative bodies is still lower and can not cultivate strong innovation ability and performance consequently. Therefore, under the background of open innovation, domestic cluster firm should establish and optimize the recognition, acquisition, sharing and integration mechanism for external originality resource by embedding the local and ultra-local innovative network, and promote the innovation performance of cluster firms level and industrial cluster overall level. However, most of theoretical achievements on discussing the mechanism of cluster firm network embeddedness acts on innovation performance has not taken into account the cluster firm dual relational embeddedness feature of the local and ultra-local network, the relevant research on how to keep the balance between local and ultra-local network so as to enhance innovation performance effectively is relatively rare.In this context, this dissertation takes cluster firm as studying objects, uses relational embeddedness view, establishes the theoretical framework of "cluster firm dual relational embeddedness (local and ultra-local network)-dynamic capabilities-innovation performance", introduces the regulation factor that is environmental uncertainty to discuss the relationship between dynamic capabilities and innovation performance. This is also a focus question on firm network and strategy theory. To be specific, this dissertation should discuss the following four problems: ①How will cluster firm dual relational embeddedness affect its innovation performance? ②How will cluster firm dual relational embeddedness affect its dynamic capabilities?③ Whether dynamic capabilities plays an intermediary role in the relationship between cluster firm dual relational embeddedness and innovation performance? ④ Whether environmental uncertainty play a regulatory role in the relationship between cluster firm dynamic capabilities and innovation performance? In order to solve the above problems, the study of this dissertation has been divided the following steps:(1) Literature overview and theoretical deduction:this dissertation teases and generalizes the relevant literature of innovation network paradigm, cluster firm relational embeddedness, beyond industrial cluster innovation, dynamic capabilities and resource view, environmental uncertainty under the background of open innovation, analyzes the concept definition and element composition the key variables including dual relational embeddedness, dynamic capabilities and environmental uncertainty and provides theoretical support for establishing analysis framework.(2) Exploratory case study:basing on the overview and analysis of the previous research results, this dissertation establishes the theoretical conception originating from practice by executing exploratory case study on four typical cluster firms, forms the analysis framework and preliminary hypothesis of cluster firm dual relational embeddedness affect dynamic capabilities and influence innovation performance consequently, explores the mechanism of cluster firm dual relational embeddedness affect innovation performance.(3) Empirical study:contrasting with and consummating existing research by using normative analysis relevant theory, this dissertation offers the concept model and study hypothesis "dual relational embeddedness-dynamic capabilities-innovation performance". Then, this dissertation tests and analyzes this model and hypothesis by using questionnaire survey, reliability test, validity test, correlation analysis, multiple regression analysis and other quantitative empirical method, and gives the interpretation and generalization on empirical study outcome.Through the above research, this dissertation draws the following conclusions:(1) Cluster firm dual relational embeddedness has a positive impact on its own innovation performance:the local and ultra-local network of cluster firm have positive impact on its innovation performance.(2) Cluster firm dual relational embeddedness has a positive impact on its own dynamic capabilities:the local and ultra-local network of cluster firm have positive impact on the three dimensions of dynamic capabilities (capacity to sense opportunities, integrating capability and configuring capability), furthermore, cluster firm ultra-local relational embeddedness has significantly greater impaction on capacity to sense opportunities than local relational embeddedness.(3) Dynamic capabilities plays a partly intermediary role in the relationship between cluster firm dual relational embeddedness and innovation performance:capacity to sense opportunities, integrating capability and configuring capability all play partly intermediary role in the relationship between cluster firm dual relational embeddedness (local and ultra-local network) and innovation performance.(4)Environmental uncertainty play a regulatory role in the relationship between cluster firm dynamic capabilities and innovation performance:technological dynamism plays a negative regulatory role in the relationship between cluster firm integrating capability and innovation performance, technological dynamism plays a positive regulatory role in the relationship between cluster firm configuring capability and innovation performance; market dynamism plays a positive regulatory role in the relationship between cluster firm capacity to sense opportunities and innovation performance, market dynamism plays a negative regulatory role in the relationship between cluster firm integrating capability and innovation performance; competitive hostility plays a positive regulatory role in the relationship between cluster firm capacity to sense opportunities and innovation performance, competitive hostility plays a negative regulatory role in the relationship between cluster firm integrating capability and innovation performance; competitive hostility plays a positive regulatory role in the relationship between cluster firm configuring capability and innovation performance.Overview the whole research, this dissertation gives theoretical contribution in the fields including innovation management, dynamic capabilities and cluster firm innovative behavior under uncertainty environment. The concrete content are as follows:(1) Deepening the research on the mechanism of cluster firm innovation network acts on cluster firm’s innovation performanceIn combination to cluster firm open network innovation, dynamic capabilities and technological innovation theory, by taking the local and ultra-local network relational embeddedness feature of cluster firm into the same analytical framework, establishes the "cluster firm dual relational embeddedness (local and ultra-local network)-dynamic capabilities-innovation performance" theoretical framework, executes normative analysis and empirical research on the mechanism of cluster firm dual relational embeddedness influence innovation performance by affecting dynamic capabilities, open the black box of cluster firm dual relational embeddedness influence innovation performance mechanism. This theoretical framework can offer theoretical support for cluster firms which have local and ultra-local network relational embeddedness feature enhancing innovation performance and give theoretical guide for solving the lock-in question and upgrading dilemma of cluster firm under the open innovation background.Thus, the research outcome has certain guiding effect on the subsequent research of balancing the cluster firm local and ultra-local network embeddedness, makes important complement and expansion for cluster firm innovation theory and innovation network theory research.(2) Expanding the research on dynamic capabilities and embeddednessBy using case study, theoretical deduction and large sample statistical analysis, proposes and verifies the positive effect of cluster firm dual relational embeddedness acts on its own the three dimensions of dynamic capabilities (capacity to sense opportunities, integrating capability and configuring capability), the partly intermediary effect of three dimensions of dynamic capabilities between cluster firm dual relational embeddedness and innovation performance, so that the research of this dissertation enriches and extends the antecedents and consequences research of dynamic capabilities theory. Furthermore, this dissertation discusses the influence degree difference of cluster firm local and ultra-local relational embeddedness on each dimension of dynamic capabilities through empirical research, verifies the theoretical hypothesis that is cluster firm ultra-local relational embeddedness has significantly greater impaction on capacity to sense opportunities than local relational embeddedness. It is a meaningful attempt that offers more precise analysis on the antecedents element of dynamic capabilities and have certain reference value to solve the existing arguments that is which kind network between local and ultra-local network has more important and greater effect on cluster firm innovative abilities upgrading, expands and riches the embeddedness theory research consequently.(3) Enriching the research on cluster firm innovation behavior under uncertain environmentIn this dissertation, the environmental uncertainty that is one kind of important contextual factors has been taken into the research framework of cluster firm dynamic capabilities acts on its own innovation performance, discusses the positive or negative regulatory effect of the three dimensions of environmental uncertainty (technological dynamism, market dynamism and competitive hostility) act on between the three dimensions of cluster firm dynamic capabilities (capacity to sense opportunities, integrating capability and configuring capability) and innovation performance by using theoretical deduction and empirical analysis. Distinguishing from the previous studies, this dissertation can discriminate the distinct regulatory effect of different dimension of environmental uncertainty act on between different dimension of cluster firm dynamic capabilities and its own innovation performance effectively, so that can offer a new management thinking for cluster firm uses appropriate method to cultivate, assemble and optimize its dynamic capabilities and enhance innovation performance according to the different environmental feature. Therefore, this dissertation deepens and enriches contextual study depth of cluster firm dynamic capabilities acts on innovation performance, broadens and deepens the research on cluster firm innovation behavior under uncertain environment.