Evaluating longitudinal aspects of online bidding behavior

L. Rocha, A. Pereira, F. Mourão, A. Silva, W. Meira, P. Goes

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

Abstract

Online auctions have become a major e-commerce strategy in terms of both number, diversity of participants and revenue. Recent research has characterized online auctions as synchronous interactive computer systems, considering successive interactions as a "loop feedback" mechanism, called reactivity, where the user behavior affects the system behavior and vice-versa. Although some factors that explain user behavior in terms of instantaneous bidding conditions are identified by previous research, there has been no effort to study how bidders' behavior changes over time. This work presents a longitudinal analysis of bidding behavior over a series of auctions. The results show bidding behavior evolves over time and these changes are not random. The identifiable evolution patterns can be partially explained by the presence of instantaneous reactivity patterns that bidders experience throughout the series of auctions they participate. Bidders learn from these reactivity instances and adapt their future participation.

Original languageEnglish (US)
Title of host publicationWEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings
Pages423-430
Number of pages8
StatePublished - Dec 1 2008
Externally publishedYes
EventWEBIST 2008 - 4th International Conference on Web Information Systems and Technologies - Funchal, Madeira, Portugal
Duration: May 4 2008May 7 2008

Publication series

NameWEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings
Volume2

Other

OtherWEBIST 2008 - 4th International Conference on Web Information Systems and Technologies
CountryPortugal
CityFunchal, Madeira
Period5/4/085/7/08

Keywords

  • Bidding behavior
  • E-business
  • Online auctions
  • Reactivity
  • Temporal evolution

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management

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  • Cite this

    Rocha, L., Pereira, A., Mourão, F., Silva, A., Meira, W., & Goes, P. (2008). Evaluating longitudinal aspects of online bidding behavior. In WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings (pp. 423-430). (WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings; Vol. 2).