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Exploring auction databases through interactive visualization

Published: 01 December 2006 Publication History

Abstract

We introduce AuctionExplorer, a suite of tools for exploring databases of online auctions. The suite combines tools for collecting, processing, and interactively exploring auction attributes (e.g., seller rating), and the bid history (price evolution represented as a time series). Part of AuctionExplorer's power comes from its coupling of the two information structures, thereby allowing exploration of relationships between them. Exploration can be directed by hypothesis testing or exploratory data analysis. We propose a process for visual data analysis and illustrate AuctionExplorer's operations with a dataset of eBay auctions. Insights may improve seller, bidder, auction house, and other vendors' understanding of the market, thereby assisting their decision making process.

References

[1]
{1} G.N. Allen, S.T. March, Writing electronic commerce data collection agents: a tutorial using visual basic 6.0, Proceedings of the 2000 International Conference on Information Systems (ICIS), Brisbane, Australia, 2000.
[2]
{2} A. Aris, B. Shneiderman, C. Plaisant, G. Shmueli, W. Jank, Representing unevenly-spaced time series data for visualization and interactive exploration, Proceedings of Interact 2005, Springer, Berlin, 2005, pp. 835-846.
[3]
{3} P. Bajari, A. Hortacsu, The winner's curse, reserve prices and endogenous entry: empirical insights from eBay auctions, Rand Journal of Economics 3 (2) (2003) 329-355.
[4]
{4} R. Bapna, P. Goes, A. Gupta, Y. Jin, User heterogeneity and its impact on electronic auction market design: an empirical exploration, MIS Quarterly 28 (1) (Mar. 2004) 21-43.
[5]
{5} R. Bapna, W. Jank, G. Shmueli, Price Formation and its Dynamics in Online Auctions, working paper, Smith School of Business, University of Maryland (2005).
[6]
{6} R. Bapna, W. Jank, G. Shmueli, Consumer Surplus in Online Auctions, Working paper, University of Connecticut (2005).
[7]
{7} S. Borle, P. Boatwright, and J.B. Kadane, The Timing of Bid Placement and Extent of Multiple Bidding: An Empirical Investigation Using eBay Online Auctions, Working paper, Rice University (2005).
[8]
{8} P. Buono, A. Aris, C. Plaisant, A. Khella, B. Shneiderman, Interactive pattern search in time series, Proceedings of Conference on Visualization and Data Analysis, SPIE, Washington, DC, 2005, pp. 175-186.
[9]
{9} J.A. Chevalier and D. Mayzlin, The effect of word of mouth on sales: online book reviews, Yale SOM Working Paper No's. ES-28 and MK-15 (Aug 6, 2003).
[10]
{10} C.N. Dellarocas, Analyzing the Economic Efficiency of eBay-like Online Reputation Reporting Mechanisms, Proceedings of the 3rd ACM Conference on Electronic Commerce, Tampa, FL, October 14-16, 2001.
[11]
{11} C.N. Dellarocas, N. Awad, X. Zhang, Using online reviews as a proxy of word-of-mouth for motion picture revenue forecasting, Working paper, MIT (May 10, 2004).
[12]
{12} J.J. Faraway, Regression analysis for a functional response, Technometrics 39 (1997) 254-261.
[13]
{13} H. Hochheiser. Interactive Graphical Querying of Time Series and Linear Sequence Data Sets, Ph.D. Dissertation, University of Maryland, Department of Computer Science (May 2003).
[14]
{14} H. Hochheiser, B. Shneiderman, Dynamic query tools for time series data sets, timebox widgets for interactive exploration, Information Visualization 3 (1) (Mar. 2004) 1-18.
[15]
{15} J.A. Jacko, A. Sears, M. Beaudouin-Lafon, R.J.K. Jacob (Eds.), The Dynamics of Mass Online Marketplaces: A Case Study on an Online Auction, Proceedings of the CHI2001 Human Factors in Computing Systems, Seattle, WA, March 31-April 5, 2001, vol. 3 (1), 2001, pp. 317-324.
[16]
{16} W. Jank, G. Shmueli, Profiling Price Dynamics in Online Auctions Using Curve Clustering, Working Paper, Smith School of Business, University of Maryland (2005).
[17]
{17} W. Jank, G. Shmueli, Functional data analysis in electronic commerce research, Working paper, Smith School of Business, University of Maryland (2005).
[18]
{18} R.J. Kauffman, C.A. Wood, Running up the bid, Modeling Seller Opportunism in Internet Auctions, Proceedings of the AMCIS 2000 Conference, Long Beach CA, 2000.
[19]
{19} R.J. Kauffman, S.T. March, and C.A. Wood. Agent Sophistication: Design Aspects for Data-collecting Agents, to appear in International Journal of Intelligent Systems in Accounting, Finance, and Management.
[20]
{20} D. Lucking-Reiley, Auctions on the Internet: what's being auctioned and how? Journal of Industrial Economics 48 (3) (2000) 227-252.
[21]
{21} J.O. Ramsay, B.W. Silverman, Functional Data Analysis, second ed., Springer-Verlag, New York, 2005.
[22]
{22} A.E. Roth, A. Ockenfels, Last-minute bidding and the rules for ending second-price auctions: evidence from eBay and amazon auctions on the Internet, The American Economic Review 92 (4) (2002) 1093-1103.
[23]
{23} G. Shmueli, W. Jank, Visualizing online auctions, Journal of Computational and Graphical Statistics 14 (2) (2005) 299-319.
[24]
{24} G. Shmueli, W. Jank, Modeling the dynamics of online auctions: a modern statistical approach, in: R. Kauffman, P. Tallon (Eds.), Economics, Information Systems and Ecommerce Research: II. Advanced Empirical Methods, part of Advances in Management Information Systems Series, M.E. Sharpe, Armonk, NY, in press.
[25]
{25} G. Shmueli, R. Russo, and W. Jank. Modeling Bid Arrivals in Online Auctions, Working Paper, University of Maryland (2004), www.smith.umd.edu/ceme/statistics/BidArrivals_Jan04.pdf.
[26]
{26} K.J. Stewart, T. Ammeter, L. Maruping, A preliminary analysis of the influences of licensing and organizational sponsorship on success in open source projects, Proceedings of the 38th Hawaii International Conference on System Sciences, Jan. 2005.
[27]
{27} Y. Vakrat, A. Seidmann, Implications of the bidders' arrival process on the design of online auctions, Proceedings of the Hawaii International Conference on System Sciences, 2000.

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Published In

cover image Decision Support Systems
Decision Support Systems  Volume 42, Issue 3
December 2006
748 pages

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 December 2006

Author Tags

  1. auction dynamics
  2. bid history
  3. online auctions
  4. time series
  5. user interface

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