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
1794-1237
2463-0950
13
2016-10-25
157
169
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Revista EIA/ English version - 2016
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APPLICATION OF KOHONEN MAPS FOR THE PRIORITIZATION OF MARKET AREAS: A PRACTICAL APPROACH application/pdf Text http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/publishedVersion http://purl.org/redcol/resource_type/ARTREF http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article Revista EIA/ English version - 2016 https://creativecommons.org/licenses/by-nc-sa/4.0/ Español 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 |
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UNIVERSIDAD EIA |
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https://nuevo.metarevistas.org/UNIVERSIDADEIA/logo.png |
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Colombia |
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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 |
format |
Article |
rights |
http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess Revista EIA/ English version - 2016 https://creativecommons.org/licenses/by-nc-sa/4.0/ |
type_driver |
info:eu-repo/semantics/article |
type_coar |
http://purl.org/coar/resource_type/c_6501 |
type_version |
info:eu-repo/semantics/publishedVersion |
type_coarversion |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
type_content |
Text |
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 |
eissn |
2463-0950 |
citationstartpage |
157 |
citationendpage |
169 |
url3_str_mv |
https://revistas.eia.edu.co/index.php/Reveiaenglish/article/download/1053/955 |
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1797158919304380416 |