DocumentCode
2255086
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
Volume
4
fYear
2010
fDate
11-14 July 2010
Firstpage
1715
Lastpage
1719
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580979
Filename
5580979
Link To Document