publication . Article . Other literature type . 2018

Unveiling the features of successful eBay smartphone sellers

Ana Teresa Silva; Sérgio Moro; Paulo Rita; Paulo Cortez;
Open Access English
  • Published: 01 Jul 2018
  • Publisher: Elsevier
  • Country: Portugal
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. info:eu-repo/semantics/acceptedVersion
Subjects
free text keywords: Online sales, EBay sellers, Data mining, Sensitivity analysis, Smartphones, :Ciências Sociais::Economia e Gestão [Domínio/Área Científica], Marketing, Social Sciences, Common value auction, Computer science, Information retrieval, Support vector machine
Funded by
FCT| UID/PSI/03125/2013
Project
UID/PSI/03125/2013
Center for Research and Social Intervention
  • Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
  • Project Code: 147229
  • Funding stream: 5876

5000 10000 nrResults4Phone Cortes, C., Vapnik, V., 1995. Support-vector networks. Mach. Learn., 20(3), 273-297.

Einav, L., Levin, J., Popov, I., Sundaresan, N., 2014. Growth, adoption, and use of mobile Ecommerce. Am. Econ. Rev., 104(5), 489-494. [OpenAIRE]

Einav, L., Farronato, C., Levin, J., Sundaresan, N., 2018. Auctions versus posted prices in online markets. J. Polit. Econ., 126(1), 178-215.

Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., 1996. From data mining to knowledge discovery in databases. AI Mag., 17(3), 37-54. [OpenAIRE]

Grewal, D., Janakiraman, R., Kalyanam, K., Kannan, P.K., Ratchford, B., Song, R., Tolerico, S., 2010. Strategic online and offline retail pricing: a review and research agenda. J. Interact. Mark., 24(2), 138-154. [OpenAIRE]

Varian, H.R., 2014. Beyond big data. Bus. Econ., 49(1), 27-31. [OpenAIRE]

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. info:eu-repo/semantics/acceptedVersion
Subjects
free text keywords: Online sales, EBay sellers, Data mining, Sensitivity analysis, Smartphones, :Ciências Sociais::Economia e Gestão [Domínio/Área Científica], Marketing, Social Sciences, Common value auction, Computer science, Information retrieval, Support vector machine
Funded by
FCT| UID/PSI/03125/2013
Project
UID/PSI/03125/2013
Center for Research and Social Intervention
  • Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
  • Project Code: 147229
  • Funding stream: 5876

5000 10000 nrResults4Phone Cortes, C., Vapnik, V., 1995. Support-vector networks. Mach. Learn., 20(3), 273-297.

Einav, L., Levin, J., Popov, I., Sundaresan, N., 2014. Growth, adoption, and use of mobile Ecommerce. Am. Econ. Rev., 104(5), 489-494. [OpenAIRE]

Einav, L., Farronato, C., Levin, J., Sundaresan, N., 2018. Auctions versus posted prices in online markets. J. Polit. Econ., 126(1), 178-215.

Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., 1996. From data mining to knowledge discovery in databases. AI Mag., 17(3), 37-54. [OpenAIRE]

Grewal, D., Janakiraman, R., Kalyanam, K., Kannan, P.K., Ratchford, B., Song, R., Tolerico, S., 2010. Strategic online and offline retail pricing: a review and research agenda. J. Interact. Mark., 24(2), 138-154. [OpenAIRE]

Varian, H.R., 2014. Beyond big data. Bus. Econ., 49(1), 27-31. [OpenAIRE]

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