DocumentCode :
397935
Title :
A typology of very small companies using self-organizing maps
Author :
Barthelemy, S. ; Filippi, Jean-Baptiste
Author_Institution :
T-A-C, Saint Hilaire Des Landes, France
Volume :
4
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
3518
Abstract :
The world of very small companies (VSC) is characterized by a great diversity in terms of quality and behavior. Consequently, the principles for economic evaluation used today on medium to big sized companies cannot directly be used on VSC that must be grouped with companies of similar behavior. The purpose of the present study, conducted for the French Ministry of Finance, was to find an original technique to group these companies into clusters, with an economic theory background. Self-organizing maps (SOM) were used to create subsets of companies from the original database. The method has been implemented in Java software with a web front-end to perform the computer evaluation of the technique. The method is validated on a data set of 459 companies collected by French students. Using the clustering software we found four subsets, which correspond to the economic theory of ´worlds of production´: interpersonal, industrial, immaterial and merchant world.
Keywords :
business data processing; economics; self-organising feature maps; French Ministry of Finance; clustering software; economic evaluation; economic theory background; information fusion; resource management; self-organizing maps; typology; very small companies; Computer industry; Databases; Filtering; Finance; Industrial economics; Java; Performance evaluation; Production; Self organizing feature maps; Software performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1244434
Filename :
1244434
Link To Document :
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