EVALUATING LONGITUDINAL ASPECTS OF ONLINE BIDDING BEHAVIOR

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

2008

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.

References

  1. Agrawal, R. and Srikant, R. (1995). Mining sequential patterns. In Yu, P. S. and Chen, A. S. P., editors, Eleventh International Conference on Data Engineering, pages 3-14, Taipei, Taiwan. IEEE Computer Society Press.
  2. Akula, V. and Menascé, D. (2007). Two-level workload characterization of online auctions. Electronic Commerce Research and Applications Journal, 6(2):192- 208.
  3. Ariely, D. and Simonson, I. (2003). Buying, bidding, playing, or competing? value assessment and decision dynamics in online auctions. Journal of Consumer Psychology, 13(1):113-123.
  4. http:// aucAuctions, Y. (2003). tions.yahoo.com/.
  5. Bajari, P. and Hortacsu, A. (2003). The winner's curse, reserve prices, and endogenous entry: Empirical insights from ebay auctions. RAND Journal of Economics, 34(2):329-55.
  6. Bapna, R., Goes, P. B., Gupta, A., and Jin, Y. (2004). User heterogeneity and its impact on electronic auction market design: An empirical exploration research essays. MIS Quarterly, 28(1).
  7. Bock, H.-H. (2002). Data mining tasks and methods - classification: the goal of classification. pages 254-258.
  8. Brown, K. N., Burke, D. A., Hnich, B., and Tarim, A. (2005). The trading agent competition as a test problem for constraint solving under change and uncertainty. In Proc. Workshop on Constraint Solving under Change and Uncertainty, CP, pages 9-12.
  9. EBay (2007). eBay, Inc. http://www.ebay.com/.
  10. Falkowski, T., Bartelheimer, J., and Spiliopoulou, M. (2006). Mining and visualizing the evolution of subgroups in social networks. In WI 7806: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, pages 52-58, Washington, DC, USA. IEEE Computer Society.
  11. Hartigan, J. (1975). Clustering Algorithms. John Wiley and Sons, Inc.
  12. Menascé, D. and Akula, V. (2003). Towards workload characterization. In Proceedings of the IEEE 6th Annual Workshop on Workload Characterization (WWC-6), Austin, Texas, USA. IEEE Computer Society.
  13. Menascé, D. A. and Almeida, V. A. F. (2000). Scaling for E Business: Technologies, Models, Performance, and Capacity Planning. Prentice Hall PTR, Upper Saddle River, NJ, USA.
  14. Pereira, A., Rocha, L., ao, F. M., Jr., W. M., and Góes, P. (2007a). Characterizing bidding behavior in internet auctions. In NAEC'07: Proceedings of Networking and Electronic Commerce Research Conference, Lake Garda, Italy.
  15. Pereira, A., Rocha, L., ao, F. M., Torres, T., Góes, P., and Jr., W. M. (2007b). A hierarchical characterization model for online auctions. In ICISTM'07: Proceedings of the First International Conference on Information Systems, Technology and Management, New Delhi, INDIA.
  16. Pereira, A., Rocha, L., ao, F. M., Torres, T., Jr., W. M., and Góes, P. (2007c). Analyzing ebay negotiation patterns. In WEBIST'07: Proceedings of the 3rd International Conference on Web Information Systems and Technologies, Barcelona, SPAIN.
  17. Tseng, V. S., Chang, J.-C., and Lin, K. W. (2006). Mining and prediction of temporal navigation patterns for personalized services in e-commerce. In SAC 7806: Proceedings of the 2006 ACM symposium on Applied computing, pages 867-871, New York, NY, USA. ACM Press.
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Paper Citation


in Harvard Style

Rocha L., Pereira A., Mourão F., Silva A., Meira Jr. W. and Goes P. (2008). EVALUATING LONGITUDINAL ASPECTS OF ONLINE BIDDING BEHAVIOR . In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-8111-27-2, pages 423-430. DOI: 10.5220/0001515204230430


in Bibtex Style

@conference{webist08,
author={L. Rocha and A. Pereira and F. Mourão and A. Silva and W. Meira Jr. and P. Goes},
title={EVALUATING LONGITUDINAL ASPECTS OF ONLINE BIDDING BEHAVIOR},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2008},
pages={423-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001515204230430},
isbn={978-989-8111-27-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - EVALUATING LONGITUDINAL ASPECTS OF ONLINE BIDDING BEHAVIOR
SN - 978-989-8111-27-2
AU - Rocha L.
AU - Pereira A.
AU - Mourão F.
AU - Silva A.
AU - Meira Jr. W.
AU - Goes P.
PY - 2008
SP - 423
EP - 430
DO - 10.5220/0001515204230430