research-article

Free access

Technical opinion
Online auctions hidden metrics

Authors:

Paulo Goes,

Yanbin Tu,

Y. Alex TungAuthors Info & Claims

Communications of the ACM, Volume 52, Issue 4

Pages 147 - 149

https://doi.org/10.1145/1498765.1498804

Published: 01 April 2009 Publication History

All formats PDF

References

[1]

Anderson, S., Friedman, D., Milam, G., and Singh, N. Seller strategies on eBay. Economics Working Paper Department of Economics, University of California, Santa Cruz, 2004.

Google Scholar

[2]

Balachander, S. Warranty signaling and reputation. Management Science 47, 9, 2001, 1282--1289.

Digital Library

Google Scholar

[3]

Ba, S. and Pavlou, P. Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior. MIS Quarterly 26, 3, 2002, 243--268.

Digital Library

Google Scholar

[4]

Bapna, R., Goes, P., and Gupta, A. Replicating online yankee auctions to analyze auctioneers' and bidders' strategies. Information Systems Research 14, 3, 2003, 244--268.

Digital Library

Google Scholar

[5]

Bapna, R., Goes, P., Gupta, A., and Jin, Y. User heterogeneity and its impact on electronic auction market design: An exploratory analysis, MIS Quarterly 28, 1, 2004, 21--43.

Digital Library

Google Scholar

[6]

Becherer, R and Halstead, D. Characteristics and internet marketing strategies of online auction sellers. International Journal of Internet Marketing and Advertising 1, 1, 2004, 24--36.

Crossref

Google Scholar

[7]

Dewally, M. and Ederington, L. A Comparison of reputation, certification, warranties, and disclosure as remedies for information asymmetries: Lesson from the on-line comic book market. Journal of Business 79, 4, 2006.

Google Scholar

[8]

Gilkeson, J. H. and Reynolds, K. Determinants of internet auction success and closing price: An exploratory study. Psychology & Marketing 20, 6, 2003, 537--566.

Google Scholar

[9]

Hu, X., Lin, Z, Whinston, A. B., and Zhang, H. Hope or hype: On the viability of escrow services as trusted third parties in online auction environments. Information Systems Research 15, 3, 2004, 236--249.

Digital Library

Google Scholar

[10]

Sinha, A.R. and Greenleaf, E. A. The impact of discrete bidding and bidder aggressiveness on sellers' strategies in open english auctions: Reserves and covert shilling." Marketing Science 19, 3, 2000, 244--265.

Digital Library

Google Scholar

Cited By

View all

Chang JChang W(2014)Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudstersElectronic Commerce Research and Applications10.1016/j.elerap.2013.10.00413:2(79-97)Online publication date: Mar-2014
https://doi.org/10.1016/j.elerap.2013.10.004
Chang WChang J(2012)An effective early fraud detection method for online auctionsElectronic Commerce Research and Applications10.1016/j.elerap.2012.02.00511:4(346-360)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1016/j.elerap.2012.02.005

Index Terms

Technical opinion

Online auctions hidden metrics
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
2. Mathematics of computing
  1. Probability and statistics

Recommendations

Design of online auctions: Proxy versus non-proxy settings

Recent years have witnessed the rapid development of online auctions. Currently, some online auctions, such as eBay, introduce a proxy bidding policy, under which bidders submit their maximum bids and delegate to a proxy agent to automatically outbid ...
Expressive auctions for externalities in online advertising
WWW '10: Proceedings of the 19th international conference on World wide web

When online ads are shown together, they compete for user attention and conversions, imposing negative externalities on each other. While the competition for user attention in sponsored search can be captured via models of clickthrough rates, the post-...
Overlapping online auctions: empirical characterization of bidder strategies and auction prices

Online auctions enable market-level interactions or interdependency of outcomes, which were not observed in physical auctions. One such set of interactions takes place when multiple auctions are conducted to sell identical items by an identical seller ...

Comments

Information & Contributors

Information

Published In

Communications of the ACM Volume 52, Issue 4

A Direct Path to Dependable Software

April 2009

134 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1498765

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2009

Published in CACM Volume 52, Issue 4

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Popular
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
748
Total Downloads

Downloads (Last 12 months)52
Downloads (Last 6 weeks)9

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Chang JChang W(2014)Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudstersElectronic Commerce Research and Applications10.1016/j.elerap.2013.10.00413:2(79-97)Online publication date: Mar-2014
https://doi.org/10.1016/j.elerap.2013.10.004
Chang WChang J(2012)An effective early fraud detection method for online auctionsElectronic Commerce Research and Applications10.1016/j.elerap.2012.02.00511:4(346-360)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1016/j.elerap.2012.02.005

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Magazine Site

View this article on the magazine site (external)

Magazine Site

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

References

Cited By

Index Terms

Recommendations

Design of online auctions: Proxy versus non-proxy settings

Expressive auctions for externalities in online advertising

Overlapping online auctions: empirical characterization of bidder strategies and auction prices

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Magazine Site

Login options

Full Access

Share

Share this Publication link

Share on social media

Affiliations