區(qū)域創(chuàng)新網(wǎng)絡(luò)對(duì)企業(yè)創(chuàng)新能力的影響研究
[Abstract]:Under the current competitive pressure of knowledge economy and economic globalization, innovation has become the fundamental way to change the mode of regional economic growth and realize sustainable development. As the main component of our national economy, enterprises are the direct subjects of participating in innovation activities, and should vigorously promote enterprise innovation in order to improve the core competitiveness and sustainable development ability. As technological innovation tends to be complicated, technological innovation has become a system engineering, not only enterprise systems engineering, but also social systems engineering. The network innovation organization model, regional innovation network, emerges as the times require under this background. Therefore, it is of practical significance to study the technological innovation capability of enterprises from the perspective of regional innovation network. This paper makes an empirical analysis on the relationship between regional innovation network and enterprise innovation ability. The main contents are as follows: firstly, the characteristics of regional innovation network structure are analyzed. This paper is based on the research and analysis of the previous scholars' research on the regional innovation network structure, combined with the data of the industrial enterprises above the scale of the provinces and regions in China, from the network scale, the contact intensity, the openness, This paper measures the development status of innovation network in each province in four aspects of structure hole. The BP neural network model and the efficiency coefficient method are used to calculate the research methods. Finally, according to the index scores, the characteristics of the provincial innovation network are compared and analyzed. Secondly, it analyzes the innovation ability of the enterprises in the provinces and regions of China. The research of enterprise innovation ability is to study the regional difference of enterprise innovation ability. The evaluation index system is established from the three aspects of enterprise innovation input ability, enterprise innovation R & D ability and enterprise innovation output ability, and the weight is obtained by using BP neural network. By using the method of total efficiency coefficient, the comprehensive score of innovation ability of enterprises in provinces and regions is obtained. The results show that the innovation ability of enterprises in provinces and regions in China is decreasing from east to west, showing significant regional differences. Finally, the relationship between regional innovation network and enterprise innovation ability is analyzed. Principal component analysis (PCA) and stepwise regression (stepwise regression) were used to analyze the multiple collinearity between the two indexes, and the multivariate regression model was used to analyze the influence of the two factors. The results show that there is a strong positive correlation between the innovation network and the innovation ability of enterprises in every province of China, and the degree from strong to weak is the intensity, openness, network scale, structure hole, in the regional innovation network. The influence of network scale and openness on enterprise innovation input ability is significant; on enterprise innovation R & D ability is connection intensity; on enterprise innovation output ability is significant impact on enterprise innovation output ability is connection intensity and openness. Finally, the corresponding policy suggestions are put forward, that is, to increase the openness of regional innovation network, to promote the close cooperation between industry, university and research, to perfect intermediary service organizations, to create a relaxed environment for technological innovation of enterprises, and to establish and improve the innovation support service system and so on.
【學(xué)位授予單位】:江南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:F273.1;F279.2
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