A seller's perspective characterization methodology for online auctions

Arlei Silva, Pedro Calais, Adriano Pereira, Fernando Mourão, Jussara Almeida, Wagner Meira, Paulo B Goes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Online auction services have reached great popularity and revenue over the last years. A key component for this success is the seller. Few studies proposed analyzing how the seller and the auction configuration affect the negotiation results. In this work we propose a methodology to characterize online auctions by the seller's perspective. This methodology is based on: (1) recognizing the characteristics of the variables related to the auction results and (2) capturing the correlation among these variables to identify seller profiles and selling strategies. We applied our methodology to a real case study, using an eBay dataset, to validate two hypotheses about sellers and their practices. These results are useful to understand the complex mechanisms that guide ending prices, success (or failure), and the attraction of bids in online auctions, which can support decision strategies for buyers and sellers.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
Publication statusPublished - 2008
Externally publishedYes
Event10th International Conference on Electronic Commerce 2008, ICEC'08 - Innsbruck, Austria
Duration: Aug 19 2008Aug 22 2008


Other10th International Conference on Electronic Commerce 2008, ICEC'08



  • Data mining
  • E-commerce
  • EBay
  • Online auctions

ASJC Scopus subject areas

  • Human-Computer Interaction

Cite this

Silva, A., Calais, P., Pereira, A., Mourão, F., Almeida, J., Meira, W., & Goes, P. B. (2008). A seller's perspective characterization methodology for online auctions. In ACM International Conference Proceeding Series [18] https://doi.org/10.1145/1409540.1409564