Grey evaluation empirical study based on center-point triangular whitenization weight function of Jiangsu Province industrial technology innovation strategy alliance
Abstract
Purpose
This paper aims to investigate the performance of Jiangsu Province industrial technology innovation strategy alliance.
Design/methodology/approach
Through a preliminary investigation of 30 Jiangsu industrial technology innovation strategic alliances, this paper analyzed the status and extracted 18 alliances to conduct an in-depth investigation. By grey evaluation method based on center-point triangular whitenization weight function, the paper classified and analyzed alliances.
Findings
The results show that university or research institutions-oriented alliance perform better, but the government/enterprise-oriented alliance perform diverse, and majority is rated “general”.
Originality/value
The paper succeeds in clustering analysis to Jiangsu Province industrial technology innovation strategy alliance with insufficient data. And according to the result of clustering, it analyzes the causes, which provide value information for the sustainable development of Jiangsu Province industrial technology innovation strategy alliance.
Keywords
Acknowledgements
This work was financially supported by the National Natural Science Foundation of China Grant No. 71173104, by the Humanities and Social Science Foundation of Ministry of Education of China Grant No. 09YJA630067, by the National Humanities and Social Science Foundation of China Grant No. 10zd&014, by the University Philosophy Social Science Research Major Project of Jiangsu Province of China Grant No. 2012ZDIXM030, by the Higher Education Teaching Reform Subject of Jiangsu Province of China Grant No. 2013JSJG157.
Citation
Zhang, Y., Ni, J., Liu, J. and Jian, L.-r. (2014), "Grey evaluation empirical study based on center-point triangular whitenization weight function of Jiangsu Province industrial technology innovation strategy alliance", Grey Systems: Theory and Application, Vol. 4 No. 1, pp. 124-136. https://doi.org/10.1108/GS-11-2013-0027
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited