Evaluation of enterprise technology innovation ability based on factor analysis — Taking high-tech enterprises of six provinces in central China as an example

Author(s):  
Hou Renyong ◽  
Fu Chaochao
2013 ◽  
Vol 457-458 ◽  
pp. 1419-1422
Author(s):  
Cheng Jun Wang ◽  
Min Min Gou

This paper constructed the technological innovation ability index system of logistics enterprise, propose causation model to evaluate technology innovation ability of modern logistics enterprise, model and solve the causal relationship among the evaluation indexes by structural equation model, The empirical results show that: this model can correctly describe the causal relationship between the indexes, define key indicators of logistics enterprise technology innovation ability accurately, and determine the main influencing factors, provide scientific basis for evaluating and improving the modern logistics enterprise technology innovation ability.


2014 ◽  
Vol 687-691 ◽  
pp. 2909-2912 ◽  
Author(s):  
Liang Hu ◽  
Gan Lan Yan ◽  
Long Li

During the course of building an innovative country and enhancing the independent innovation capability, universities are the main force and the important source of high-tech innovation. The evaluation on the university's innovation ability, not only may improve university's efficiency and level of scientific research, but also make a significant sense to perfect the china' scientific research innovation system. Based on Referring to the recent research achievements at home and abroad, research and design work was carried out in the following area. Firstly, the multi-university research innovation ability evaluating indicator system is designed in this paper. By the principle of science and justice, through questionnaires, expert opinion and reference to relevant research results. The paper designed the multi-university's research innovation ability evaluating indicator system. A variety of typical evaluation models and methods are studied. Then two evaluation models between PCA-BP and PCA-FNN are taken into comparison. And the results show that the research and application of PCA-FNN is proved to be a new method and made a significant attempt for the university’s evaluation of research innovation ability.


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