Title :
A Theoretical Model for Enterprises´ Innovation Capability Assessing
Author :
Wang, Lixin ; Fan, Hong
Author_Institution :
Sch. of Manage., Donghua Univ., Shanghai, China
Abstract :
To meet the challenge of knowledge-based economy in the 21st century, scientifically evaluating the innovation capability is important to strengthening the international competence and acquiring long-term competitive advantage for Chinese enterprises. In the article, based on the description of concept and structure of enterprise´s innovation capability, the evaluation index system of innovation capability is established according to AHP. In succession, evaluation model based on BP neural network is put forward. which provide some theoretic guidance to scientifically evaluating the innovation capability of Chinese enterprises.
Keywords :
backpropagation; economics; innovation management; neural nets; BP neural network; Chinese enterprises; competitive advantage; enterprise innovation capability; knowledge-based economy; Artificial neural networks; Biological system modeling; Indexes; Patents; Personnel; Production; Technological innovation;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5576969