Research On The Influence Of Relational Embeddedness On Enterprise Innovation Performance Of High-tech Industry

With the rapid development of knowledge and network economy, the process ofthe economic globalization gets speeding up, and the market competition becomesfiercer, namely, the enterprises’ environment has been changing quickly. Enterprisescan survive only by making continuous innovation in the rapidly changing market,and improving their own competitiveness.Meanwhile, high-tech enterprises only relyon their own limited resources for innovation are insufficient, they must accelerateinto the industry innovation network, and increase enterprise knowledge stock throughobtaining a large number of knowledge that is of network embedded, then enhanceinnovation performance. Network embeddedness has been becoming a kind ofindispensable strategic resources for the innovation and development process ofenterprises’, as the important component of network embeddedness importantconstituent, relational embeddedness influences the acquisition and learning ofknowledge and information, thus influence the enterprise’s innovation ability andperformance. In the organizational learning capability perspective, this paper thatdiscussed the enhance role of relational embeddedness of high-tech industry oncorporate innovation performance has certain theoretical and reality significance.Knowledge resources are the foundation to realize enterprise innovation and towin competitive advantages. According to network embeddedness theory andorganizational learning theory, relationship embeddedness provides a platform forenterprises to gain the external network scarcity knowledge, while enterprises canprovide better service for enterprise’s innovation practice only through strongorganizational learning ability to learn and utilize external knowledge resources.Therefore, we proposed a model of the impact of relational embeddedness on corporateinnovation performance with organizational learning capability as a mediating variable,while some corresponding research hypotheses had been put forward. Finally, wecollected data from high-tech enterprises in some area of our country. The data wasanalyzed using reliability analysis, validity analysis, descriptive statistics, correlationanalysis, Variance analysis, regression analysis and other methods of empiricalresearch. Studies have shown that: relational embeddedness of high-tech industry had asignificant positive impact on corporate innovation performance, while organizationallearning capability of high-tech enterprises played a significant mediating effect between relational embeddedness and enterprise innovation performance.As the enhancement of high-tech enterprises innovation performance is asystematic project, while strengthening the construction of enterprise externalnetwork for the good relational embeddedness, also should pay more attention to thecultivation and promotion of organizational learning capability, making better use ofit in the process of the promote effect from relational embeddedness to corporateinnovation performance. May this study can step forward enrich the study ofrelationship between relational embeddedness and corporate innovation performance,and have some guiding significance in enterprise management practice.