Unveiling the features of successful eBay smartphone sellers

Detalhes bibliográficos
Autor(a) principal: Silva, Ana Teresa
Data de Publicação: 2018
Outros Autores: Moro, Sergio, Rita, Paulo, Cortez, Paulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/62763
Resumo: The present study adopts a data mining approach based on support vector machines (SVM) for modeling the number of sales of smartphone devices by eBay sellers. The data-based sensitivity analysis was adopted for extracting meaningful knowledge translated into the relevance of each input feature for the model. Such approach allowed unveiling that the number of items the seller also has on auctions, the price and the variety of products the seller offers are the three features that influence most the number of sales, in a total of almost 25%, surpassing the relevance of the features related to customers' feedback.
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spelling Unveiling the features of successful eBay smartphone sellersOnline salesEBay sellersData miningSensitivity analysisSmartphonesSocial SciencesThe present study adopts a data mining approach based on support vector machines (SVM) for modeling the number of sales of smartphone devices by eBay sellers. The data-based sensitivity analysis was adopted for extracting meaningful knowledge translated into the relevance of each input feature for the model. Such approach allowed unveiling that the number of items the seller also has on auctions, the price and the variety of products the seller offers are the three features that influence most the number of sales, in a total of almost 25%, surpassing the relevance of the features related to customers' feedback.Elsevier Science LtdUniversidade do MinhoSilva, Ana TeresaMoro, SergioRita, PauloCortez, Paulo20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/62763eng0969-698910.1016/j.jretconser.2018.05.001https://www.sciencedirect.com/science/article/pii/S0969698918302029info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:56:11Zoai:repositorium.sdum.uminho.pt:1822/62763Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:45:48.057187Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Unveiling the features of successful eBay smartphone sellers
title Unveiling the features of successful eBay smartphone sellers
spellingShingle Unveiling the features of successful eBay smartphone sellers
Silva, Ana Teresa
Online sales
EBay sellers
Data mining
Sensitivity analysis
Smartphones
Social Sciences
title_short Unveiling the features of successful eBay smartphone sellers
title_full Unveiling the features of successful eBay smartphone sellers
title_fullStr Unveiling the features of successful eBay smartphone sellers
title_full_unstemmed Unveiling the features of successful eBay smartphone sellers
title_sort Unveiling the features of successful eBay smartphone sellers
author Silva, Ana Teresa
author_facet Silva, Ana Teresa
Moro, Sergio
Rita, Paulo
Cortez, Paulo
author_role author
author2 Moro, Sergio
Rita, Paulo
Cortez, Paulo
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Silva, Ana Teresa
Moro, Sergio
Rita, Paulo
Cortez, Paulo
dc.subject.por.fl_str_mv Online sales
EBay sellers
Data mining
Sensitivity analysis
Smartphones
Social Sciences
topic Online sales
EBay sellers
Data mining
Sensitivity analysis
Smartphones
Social Sciences
description The present study adopts a data mining approach based on support vector machines (SVM) for modeling the number of sales of smartphone devices by eBay sellers. The data-based sensitivity analysis was adopted for extracting meaningful knowledge translated into the relevance of each input feature for the model. Such approach allowed unveiling that the number of items the seller also has on auctions, the price and the variety of products the seller offers are the three features that influence most the number of sales, in a total of almost 25%, surpassing the relevance of the features related to customers' feedback.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/62763
url http://hdl.handle.net/1822/62763
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0969-6989
10.1016/j.jretconser.2018.05.001
https://www.sciencedirect.com/science/article/pii/S0969698918302029
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Ltd
publisher.none.fl_str_mv Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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