DocumentCode
2409239
Title
Study of Compressed Organization Structure by Means of Entropy Theory
Author
Jian-She, Li ; Li-Juan, Wang ; Bo, Fu
Author_Institution
Sch. of Manage., Tianjin Univ. of Technol., Tianjin, China
fYear
2010
fDate
7-9 May 2010
Firstpage
1014
Lastpage
1017
Abstract
The paper is based on the formula put forward by Shannon, which is used to measure the information flow generated from discrete variables, and also the maximum entropy rule put forward by Jaynes, which is used to describe the distribution of maximum entropy. Through analysing the characters of entropy function, we draw a conclusion of the relationship between the value of entropy function and the possibility of variables. At the end, compressed organization structure is proved to be superior to hierarchical structure.
Keywords
maximum entropy methods; organisational aspects; compressed organization structure; discrete variables; entropy function; information entropy theory; maximum entropy rule; Analytical models; Educational institutions; Electronic mail; Entropy; Frequency modulation; Organizations; Presses; entropy theory; information entropy; organization structure;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3997-3
Type
conf
DOI
10.1109/ICEE.2010.262
Filename
5591326
Link To Document