A typology of very small companies using self-organizing maps
نویسندگان
چکیده
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, that correspond to the economic theory of ’Worlds of production’ : interpersonal, industrial, immaterial and merchant world.
منابع مشابه
Landforms identification using neural network-self organizing map and SRTM data
During an 11 days mission in February 2000 the Shuttle Radar Topography Mission (SRTM) collected data over 80% of the Earth's land surface, for all areas between 60 degrees N and 56 degrees S latitude. Since SRTM data became available, many studies utilized them for application in topography and morphometric landscape analysis. Exploiting SRTM data for recognition and extraction of topographic ...
متن کاملGreen Product Consumers Segmentation Using Self-Organizing Maps in Iran
This study aims to segment the market based on demographical, psychological, and behavioral variables, and seeks to investigate their relationship with green consumer behavior. In this research, self-organizing maps are used to segment and to determine the features of green consumer behavior. This was a survey type of research study in which eight variables were selected from the demographical,...
متن کاملBenchmarking International Pulp and Paper Companies Using Self- Organizing Maps
Performing financial benchmarks in today’s information-rich society can be a daunting task. With the evolution of the Internet, access to massive amounts of financial data, typically in the form of financial statements, is widespread. Managers and stakeholders are in need of a tool allowing them to quickly and accurately analyze this data. An emerging technique that may be suited for this appli...
متن کاملSteel Consumption Forecasting Using Nonlinear Pattern Recognition Model Based on Self-Organizing Maps
Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...
متن کاملGait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...
متن کامل