Price comparison: A reliable approach to identifying shill bidding in online auctions?

Electronic Commerce Research and Applications

Volumn 11, Issue 2, 2012, Pages 171-179

  Dong, Fei ^a   Shatz, Sol M ^a   Xu, Haiping ^b   Majumdar, Dibyen ^c  

^a University of Illinois at Chicago   (United States)

^b University of Massachusetts Dartmouth   (United States)

^c UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Auction fraud; Empirical research; Final auction price; Online auctions; Price prediction; Shill bidding; Shill detection

Indexed keywords

AUCTION FRAUD; EMPIRICAL RESEARCH; FINAL AUCTION PRICE; ONLINE AUCTIONS; PRICE PREDICTION; SHILL BIDDING;

ELECTRONIC COMMERCE; EXPERIMENTS; LOGISTICS; NEURAL NETWORKS; STATISTICAL TESTS;

COSTS;

EID: 84862783158     PISSN: 15674223     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.elerap.2011.12.003     Document Type: Article

References (28)

1. P. Bajari, and A. Hortasu Winner's curse, reserve prices and endogenous entry: empirical insights from eBay Auctions Rand Journal of Economics 34 2 2003 329 355
2. A.E. Brill, F.N. Baldwin, and R.J. Munro Cybercrime and Security 1998 Oceana Publications 29
3. F. Dong, S. Shatz, and H. Xu Combating online in-auction fraud: clues, techniques and challenges Computer Science Review 3 4 2009 245 258
4. Dong, F.; Shatz, S.; Xu, H. Inference of online auction shills using Dempster-Shafer theory. In Proceedings of the 6th International Conference on Information Technology: New Generations (ITNG 2009), April 2009, 908-914.
5. Dong, F.; Shatz, S.; Xu, H. An empirical evaluation on the relationship between final auction price and shilling activity in online auctions. In Proceedings of 22nd Intl. Conf. on Software Engineering; Knowledge Engineering, San Francisco Bay, 2010, 286-291.
6. F. Dong, S. Shatz, and H. Xu Reasoning under uncertainty for shill detection in online auctions using Dempster-Shafer theory International Journal of Software Engineering and Knowledge Engineering (IJSEKE) 20 7 2010 943 973
7. J. Geweke, M. Keane, and D. Runckle Alternative computational approaches to inference in the multinomial probit model Review of Economics and Statistics 76 4 1994 609 632
8. Ghani, R.; Simmons, H. Predicting the end-price of online auctions. In Proceeding of the International Workshop on Data Mining and Adaptive Modelling Methods for Economics and Management, Pisa, Italy, 2004.
9. D. Graupe, and H. Kordylewski A large memory storage and retrieval neural network for adaptive retrieval and diagnosis International Journal of Software Engineering and Knowledge Engineering 8 1 1998 115 138
10. D. Graupe Principles of Artificial Neural Networks 2nd edition 2007 World Scientific Publishing Co. Pte. Ltd. Singapore
11. D.V. Heijst, R. Potharst, and M.V. Wezel A support system for predicting eBay end prices Decision Support Systems 44 4 2008 970 982
12. D.W. Hosmer, and S. Lemeshow Applied Logistic Regression 2nd edition 2000 Wiley-Interscience Publication New York
13. M. Jenamani, Y. Zhong, and B.K. Bhargava Cheating in online auction - towards explaining the popularity of English auction Electronic Commerce Research and Applications 6 1 2007 53 62
14. Kamstra, M.; Kennedy, P. Combining qualitative forecasts using logit. International Journal of Forecasting, Elsevier, 14, 1, 1998, 83-93.
15. Kauffman, R. J.; Wood, C. A. Running up the bid: detecting, predicting and preventing reserve price shilling in online auctions. In Proceedings of the 5th International Conference on Electronic Commerce (ICEC 2003), Pittsburgh, PA, 2003, 259-265.
16. R.J. Kauffman, and C.A. Wood The effects of shilling on final bid prices in online auctions Electronic Commerce Research and Applications 4 1 2005 21 34
17. B.A. Kitchenham, S.L. Pfleeger, L.M. Pickard, P.W. Jones, D.C. Hoaglin, K. El Emam, and J. Rosenberg Preliminary guidelines for empirical research in software engineering IEEE Transactions on Software Engineering 28 8 2002 721 734
18. G. Kosmopoulou, and D.G. De Silva The effect of shill bidding upon prices: experimental evidence International Journal of Industrial Organization 25 2 2007 291 313
19. Lim, D.; Anthony, P.; Ho, C. Agent for predicting online auction closing price in a simulated auction environment. In Proceedings of Pacific Rim International Conference on Artificial Intelligence - PRICAI, 2008, 223-234.
20. D. Lucking-Reiley Auctions on the internet: what's being auctioned, and how? Journal of Industrial Economics 48 3 2000 227 252
21. R.D. Mason, D.A. Lind, and W.G. Marchal Statistics: An Introduction 5th edition 1998 Duxbury Press Duxbury, MA
22. Patel, R.; Xu, H.; Goel, A. Real-time trust management in agent based online auction systems. In Proceedings of the 19th International Conference on Software Engineering and Knowledge Engineering, July 9-11, 2007, Boston, MA, 244-250.
23. A.E. Roth, and A. Ockenfels Last-minute bidding and the rules for ending second-price auctions: evidence from eBay and Amazon auctions on the internet American Economic Review 92 4 2002 1093 1103
24. G. Shafer A Mathematical Theory of Evidence 1976 Princeton University Press Princeton, NJ
25. Trevathan, J.; Read, W. Detecting shill bidding in online English auctions. In M. Gupta and R. Sharman (eds.), Handbook of Research on Social and Organizational Liabilities in Information Security, Information Science Reference, 2009, 446-470.
26. Wang, W. L.; Hidvgi, Z.; Whinston, A.B. Shill bidding in English auctions. Technical report, Emory University, 2001. Available at oz.stern.nyu.edu/seminar/fa01/1108.pdf.
27. Wang, W. L.; Hidvgi, Z.; Whinston, A.B. Shill bidding in multi-round online auctions. In Proceedings of the 35th Annual Hawaii International Conference on System Sciences, January, 2002.
28. H. Xu, and Y.T. Cheng Model checking bidding behaviors in internet concurrent auctions International Journal of Computer Systems Science & Engineering 22 4 2007 179 191