Title :
Research on measurement of regional knowledge stock based on comprehensive information entropy
Author :
Wang, Xiao-feng ; Zhou, Pang ; Qi, Wei
Author_Institution :
Beijing Inst. of Technol., Beijing, China
Abstract :
Starting with the research on regional knowledge stock and based on the basic principle of information entropy, this paper establishes a measurement index system of regional knowledge stock which contains three aspects: innovation input, innovation environment and innovation benefit; it also tries to put forward a new method for measurement of knowledge stock. Integrating the previous data of Zhongguancun Science Park, it empirically analyzes the index system.
Keywords :
entropy; innovation management; knowledge management; comprehensive information entropy; index system; innovation benefit; innovation environment; innovation input; regional knowledge stock; Cybernetics; Entropy; Indexes; Information entropy; Knowledge engineering; Machine learning; Technological innovation; Information entropy; Knowledge Flow; Measurement of knowledge stock;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580979
