Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/15832
Author(s): | Silva, A. T. Moro, S. Rita, P. Cortez, P. |
Date: | 2018 |
Title: | Unveiling the features of successful eBay smartphone sellers |
Volume: | 43 |
Pages: | 311 - 324 |
ISSN: | 0969-6989 |
DOI (Digital Object Identifier): | 10.1016/j.jretconser.2018.05.001 |
Keywords: | Online sales EBay sellers Data mining Sensitivity analysis Smartphones |
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. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | CIS-RI - Artigos em revistas científicas internacionais com arbitragem científica ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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2018-JRCS-SilvaMoroRitaCortez-PosPrint.pdf | Pós-print | 1,29 MB | Adobe PDF | View/Open |
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