Username   Password       Forgot your password?  Forgot your username? 

 

An Improved Mutation Series Entropy-based Algorithm for Evaluation of Innovation Ability of Enterprises

Volume 14, Number 4, April 2018, pp. 805-814
DOI: 10.23940/ijpe.18.04.p22.805814

Chen Gonga, Kexin Bia, and Zaoli Yangb

aSchool of Economics and Management, Harbin Engineering University, Harbin, 150001, China
bSchool of Economics and Management, Beijing University of Technology, Beijing, 100124, China

(Submitted on January 3, 2018; Revised on February 22, 2018; Accepted on March 23, 2018)

Abstract:

Based on the evaluation model of the entropy evaluation method and mutation series method, this paper evaluates the independent innovation ability of high-tech industry areas of China during the period of 2005 to 2011. It also emphatically analyzes the independent innovation of an underdeveloped area of China, the Heilongjiang Province. The result of this evaluation shows that the independent innovation ability of the high-tech industry in Heilongjiang Province has gradually reduced, expanding the gap between the high-tech industry development of Heilongjiang and that of the national average. In recent years, the high-tech industry development of Heilongjiang has already fallen further behind the Eastern areas of China.

 

References: 12

    1. K. X. Bi, P. Huang, and X. Wang, “Innovation Performance and Influencing Factors of Low-Carbon Technological Innovation Under the Global Value Chain: A Case of Chinese Manufacturing Industry,” Technological Forecasting & Social Change, vol.101, no. 111, pp. 275-284, 2016
    2. K. X. Bi, P. Huang, and H. Ye, “Risk Identification, Evaluation and Response of Low-Carbon Technological Innovation under the Global Value Chain: A Case of the Chinese Manufacturing Industry,” Technological Forecasting & Social Change, vol. 100, no. 4, pp. 238-248, 2015
    3. W. Chen, Z. L. Yang, W. Zhou, Y. Long, “Knowledge-Intensive Manufacturing Technology Innovation Capability Based on Catastrophe Progression-The Changing Perspective of the Characteristics of Dynamic Comprehensive Evaluation,” Operations Research and Management Science, no. 1, pp. 191-201, 2015
    4. W. Chen, Z. L. Yang, and Y. C. Zhang, “Empirical Study on the Relationship Between Network Structure and Enterprises Core Ability: Based on the Perspective of Knowledge-Sharing and Knowledge Integration Mediators,” Management Review, no. 6, pp. 74-82, 2014
    5. X. G. Guo, “Improved Entropy Method and Its Application in Economic Evaluation,” Systems Engineering Theory and Practice, no. 12, pp. 98-102, 1998
    6. J. L. Jie, S. H. Hu, and Y. Y. Jiang, “Based on Catastrophe Progression Method in Study on Spatial Variation of Competitiveness of National High-Tech Zone,” Science of Science and Management of Science and Technology, vol. 32, no. 12, pp. 101-107, 2011
    7. Y. Li, X. H. Chen, and P. F. Zhang, “Application of Catastrophe Progression Method in Regional Ecosystem Health Assessment,” Population Resources and Environment in China, no. 3, pp. 50-54, 2007
    8. L. H. Liao, X. D. Li, “Based on Combination of Factor Analysis and TOPSIS Evaluation of Building Industry a Competitive Edge in China,” Engineering Management Journal, no. 5, pp. 7-11, 2012
    9. W. Shui, “Indicator System of Regional Manufacturing Industrial Competitiveness Evaluation Model, Construction and Application-Based on Visual Angle of Comparative Advantage and Competitive Advantage of Dynamic Equilibrium,” Industrial Technology Economics, vol. 28, no. 3, pp. 68-72, 2009
    10. D. Z. Wang, D. W. Zhao, and J. M. Chen, “Model of Industrial Competitive Advantage: An Empirical Study on Green Food Industry in Heilongjiang Province,” China Industrial Economics, no. 5, pp. 32-39, 2006
    11. G. C. Yang, T. Liu, and G. Li, “Multiple Perspective Study on the Comprehensive Evaluation Model of Enterprise's Technological Competitive Advantage,” Information Journal, vol. 32, no. 3, pp. 251-261, 2013
    12. S. Q. Zhu, “Performance Evaluation of Listed Companies Based on Catastrophe Progression Method,” Systems Engineering Theory and Practice, no. 2, pp. 90-94, 2002

       

      Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

      Attachments:
      Download this file (IJPE-2018-04-22.pdf)IJPE-2018-04-22.pdf[An Improved Mutation Series Entropy-based Algorithm for Evaluation of Innovation Ability of Enterprises]754 Kb
       
      This site uses encryption for transmitting your passwords. ratmilwebsolutions.com