Empirical Study on Dynamic Factors of Information Industry Collaborative Innovation

Yu-qiong LI, Jia CHEN, Yuan YAN, Qing GAO, Kai CHEN

Abstract


Since the reform and opening-up, information industry has achieved rapid growth in China, though there are a lot of problems waiting to be dealt with. For purpose of finding out the key driving factors of the information collaborative innovation, the paper constructs information industry collaborative innovation dynamic factors system on the base of correlative references. After obtaining large quantities of data by questionnaire survey and using Fuzzy Comprehensive Evaluation do empirical research on each factor, we finally found the key driving factors of information collaborative innovation in China. Specifically, the mechanism of innovation motivation, the support of national policy, and the research scale of information industry are the most important factors. In order to enhance China’s information industry collaborative innovation capability and international competitiveness, it must facilitate the key dynamic factors internally and externally.

Keywords


Information industry, Collaborative innovation, Fuzzy Comprehensive Evaluation, Dynamic factor


DOI
10.12783/dtetr/imeia2016/9233

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