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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Autores principales: Mamonov,Stanislav, Triantoro,Tamilla
Lenguaje:English
Publicado: Universidad de Talca 2018
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762018000200103
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spelling 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
institution Scielo Chile
collection Scielo Chile
language English
topic Search costs
Price obfuscation
Diamond retail
Data mining
Pricing
Revenue management
spellingShingle 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
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