Unveiling the features of successful eBay smartphone sellers

Ana Teresa Silva, Sérgio Moro, Paulo Rita, Paulo Cortez

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)311-324
Number of pages14
JournalJournal of Retailing and Consumer Services
Volume43
Issue numberJuly
DOIs
Publication statusPublished - 1 Jul 2018

Keywords

  • Data mining
  • EBay sellers
  • Online sales
  • Sensitivity analysis
  • Smartphones

Fingerprint Dive into the research topics of 'Unveiling the features of successful eBay smartphone sellers'. Together they form a unique fingerprint.

  • Cite this