Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining Study
Abstract : Diamonds belong to a unique product category whose perceived value is largely dependent on socially constructed beliefs. To explore the degree to which the physical properties of a diamond can be used to predict the diamond price, we perform data mining on a large dataset of loose diamond...
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Universidad de Talca
2018
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oai:scielo:S0718-187620180002001032018-06-15Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining StudyMamonov,StanislavTriantoro,Tamilla Search costs Price obfuscation Diamond retail Data mining Pricing Revenue management Abstract : Diamonds belong to a unique product category whose perceived value is largely dependent on socially constructed beliefs. To explore the degree to which the physical properties of a diamond can be used to predict the diamond price, we perform data mining on a large dataset of loose diamonds scraped from an online diamond retailer. We find that diamond weight, color and clarity are the key characteristics that influence diamond prices. The data mining results also suggest a high degree of subjectivity in diamond pricing that may reflect price obfuscation strategies employed by diamond retailers.info:eu-repo/semantics/openAccessUniversidad de TalcaJournal of theoretical and applied electronic commerce research v.13 n.2 20182018-05-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762018000200103en10.4067/S0718-18762018000200103 |
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Scielo Chile |
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English |
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Search costs Price obfuscation Diamond retail Data mining Pricing Revenue management |
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Search costs Price obfuscation Diamond retail Data mining Pricing Revenue management Mamonov,Stanislav Triantoro,Tamilla Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining Study |
description |
Abstract : Diamonds belong to a unique product category whose perceived value is largely dependent on socially constructed beliefs. To explore the degree to which the physical properties of a diamond can be used to predict the diamond price, we perform data mining on a large dataset of loose diamonds scraped from an online diamond retailer. We find that diamond weight, color and clarity are the key characteristics that influence diamond prices. The data mining results also suggest a high degree of subjectivity in diamond pricing that may reflect price obfuscation strategies employed by diamond retailers. |
author |
Mamonov,Stanislav Triantoro,Tamilla |
author_facet |
Mamonov,Stanislav Triantoro,Tamilla |
author_sort |
Mamonov,Stanislav |
title |
Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining Study |
title_short |
Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining Study |
title_full |
Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining Study |
title_fullStr |
Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining Study |
title_full_unstemmed |
Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining Study |
title_sort |
subjectivity of diamond prices in online retail: insights from a data mining study |
publisher |
Universidad de Talca |
publishDate |
2018 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762018000200103 |
work_keys_str_mv |
AT mamonovstanislav subjectivityofdiamondpricesinonlineretailinsightsfromadataminingstudy AT triantorotamilla subjectivityofdiamondpricesinonlineretailinsightsfromadataminingstudy |
_version_ |
1714202228936409088 |