APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH

This paper introduces a methodology based on neural networks to prioritize some market areas with a business approach. In this research, we try to resolve the uncertainty that exists in most organizations around the priority of a market area by conducting a search of the most relevant criteria businesses consider in order to assign priorities to certain clients. The problem is sustained by a lack of tools to estimate the priority of a market area and by the lack of an effective interface between logistics and marketing departments. To address this situation, we used Kohonen maps, a type of neural network that facilitates customer grouping and makes it possible to determine which of them most frequently impact the previously established prio... Ver más

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2016-10-25

157

169

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Revista EIA/ English version - 2016

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Revista EIA/ English version - 2016
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https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/1053
APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH
Publication
Logistic
Marketing
This paper introduces a methodology based on neural networks to prioritize some market areas with a business approach. In this research, we try to resolve the uncertainty that exists in most organizations around the priority of a market area by conducting a search of the most relevant criteria businesses consider in order to assign priorities to certain clients. The problem is sustained by a lack of tools to estimate the priority of a market area and by the lack of an effective interface between logistics and marketing departments. To address this situation, we used Kohonen maps, a type of neural network that facilitates customer grouping and makes it possible to determine which of them most frequently impact the previously established priority criteria. Finally, three scenarios are proposed to validate the proposal made and see what behavior the neural networks have in terms of prioritizing marketing areas.
Artículo de revista
Neural networks
Kohonen maps
Market areas
Gámez Albán, Harol Mauricio
Orejuela Cabrera, Juan Pablo
Salas Achipiz, Oscar Ancizar
Bravo Bastidas, Juan José
Revista EIA / English version
25
13
Revista EIA / English version
Journal article
2016-10-25 00:00:00
157
169
https://revistas.eia.edu.co/index.php/Reveiaenglish/article/download/1053/955
https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/1053
2463-0950
1794-1237
2016-10-25
2016-10-25 00:00:00
institution UNIVERSIDAD EIA
thumbnail https://nuevo.metarevistas.org/UNIVERSIDADEIA/logo.png
country_str Colombia
collection Revista EIA / English version
title APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH
spellingShingle APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH
Gámez Albán, Harol Mauricio
Orejuela Cabrera, Juan Pablo
Salas Achipiz, Oscar Ancizar
Bravo Bastidas, Juan José
Logistic
Marketing
Neural networks
Kohonen maps
Market areas
title_short APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH
title_full APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH
title_fullStr APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH
title_full_unstemmed APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH
title_sort application of kohonen maps for the prioritization of market areas: a practical approach
description This paper introduces a methodology based on neural networks to prioritize some market areas with a business approach. In this research, we try to resolve the uncertainty that exists in most organizations around the priority of a market area by conducting a search of the most relevant criteria businesses consider in order to assign priorities to certain clients. The problem is sustained by a lack of tools to estimate the priority of a market area and by the lack of an effective interface between logistics and marketing departments. To address this situation, we used Kohonen maps, a type of neural network that facilitates customer grouping and makes it possible to determine which of them most frequently impact the previously established priority criteria. Finally, three scenarios are proposed to validate the proposal made and see what behavior the neural networks have in terms of prioritizing marketing areas.
author Gámez Albán, Harol Mauricio
Orejuela Cabrera, Juan Pablo
Salas Achipiz, Oscar Ancizar
Bravo Bastidas, Juan José
author_facet Gámez Albán, Harol Mauricio
Orejuela Cabrera, Juan Pablo
Salas Achipiz, Oscar Ancizar
Bravo Bastidas, Juan José
topicspa_str_mv Logistic
Marketing
Neural networks
Kohonen maps
Market areas
topic Logistic
Marketing
Neural networks
Kohonen maps
Market areas
topic_facet Logistic
Marketing
Neural networks
Kohonen maps
Market areas
citationvolume 13
citationissue 25
publisher Revista EIA / English version
ispartofjournal Revista EIA / English version
source https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/1053
language Español
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publishDate 2016-10-25
date_accessioned 2016-10-25 00:00:00
date_available 2016-10-25 00:00:00
url https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/1053
url_doi https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/1053
issn 1794-1237
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citationstartpage 157
citationendpage 169
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