An experimental investigation into the effects of information revelation in multi-attribute reverse auctions

Bid-takers in multi-attribute reverse auctions (MRA) are typically confronted with a myriad of information revelation options and must make decisions on which pieces of information to reveal to bidders and which ones to conceal. This study explores how the choice of different types and combinations of information can affect bidding behaviour and bidder perceptions in MRA. The results of a computer-based laboratory experiment suggest that by reducing the level of information asymmetry and using certain combinations of information a bid-taker can reduce bidder drop-out and spur the submission of high quality bids, i.e. bids that yield high levels of utility for the bid-taker.

[1]  O. Koppius Information Architecture and Electronic Market Performance , 2002 .

[2]  P. Jehiel,et al.  Auctions and Information acquisition: Sealed-bid or Dynamic Formats? , 2007 .

[3]  Andrew B. Whinston,et al.  Designing Mechanisms for E-Commerce Security: An Example from Sealed-Bid Auctions , 2001, Int. J. Electron. Commer..

[4]  D. Malhotra The desire to win: The effects of competitive arousal on motivation and behavior , 2010 .

[5]  Jyrki Wallenius,et al.  Emerging multiple issue e-auctions , 2004, Eur. J. Oper. Res..

[6]  Tibor Neugebauer,et al.  Individual behavior of first-price auctions: The importance of information feedback in computerized experimental markets , 2006, Games Econ. Behav..

[7]  Stefan Strecker,et al.  Preference revelation in multi-attribute bidding procedures: an experimental analysis , 2003, 14th International Workshop on Database and Expert Systems Applications, 2003. Proceedings..

[8]  Elena Katok,et al.  E-sourcing in Procurement: Theory and Behavior in Reverse Auctions with Noncompetitive Contracts , 2006, Manag. Sci..

[9]  Jyrki Wallenius,et al.  A multi-attribute e-auction mechanism for procurement: Theoretical foundations , 2006, Eur. J. Oper. Res..

[10]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[11]  Sarit Kraus,et al.  Bidding in sealed-bid and English multi-attribute auctions , 2006, Decis. Support Syst..

[12]  Mingzhou Jin,et al.  Iterative Multi-AttRibute Multi-Unit Reverse Auctions , 2007 .

[13]  Jyrki Wallenius,et al.  Multiple-issue auction and market algorithms for the world wide web , 1999, Decis. Support Syst..

[14]  Ilia Tsetlin,et al.  Revenue Ranking of Discriminatory and Uniform Auctions with an Unknown Number of Bidders , 2008, Manag. Sci..

[15]  Terry P. Harrison,et al.  Better, Faster, Cheaper: An Experimental Analysis of a Multiattribute Reverse Auction Mechanism with Restricted Information Feedback , 2005, Manag. Sci..

[16]  Atanu R. Sinha,et al.  Auctions: Research Opportunities in Marketing , 2002 .

[17]  M. Skitmore Predicting the probability of winning sealed bid auctions: the effects of outliers on bidding models , 2004 .

[18]  M. Spence Job Market Signaling , 1973 .

[19]  Martin Bichler,et al.  Configurable offers and winner determination in multi-attribute auctions , 2005, Eur. J. Oper. Res..

[20]  V. Hsu,et al.  Adverse Selection in Electronic Markets: Evidence from Online Stamp Auctions , 2004 .

[21]  Michael H. Rothkopf,et al.  Combinatorial Auction Design , 2003, Manag. Sci..

[22]  Gopal Das Varma original papers : Who else is bidding? The Pareto optimality of disclosing bidder identities , 2002 .

[23]  Chris Chapman,et al.  Developing Competitive Bids: A Framework For Information Processing , 1988 .

[24]  Martin Bichler,et al.  An experimental analysis of multi-attribute auctions , 2000, Decis. Support Syst..

[25]  David C. Parkes,et al.  Models for Iterative Multiattribute Procurement Auctions , 2005, Manag. Sci..

[26]  Richard Engelbrecht-Wiggans,et al.  On a Possible Benefit to Bid Takers from Using Multi-Stage Auctions , 1988 .

[27]  M. Bichler The Future of Emarkets: Multi-Dimensional Market Mechanisms , 2001 .

[28]  Ramayya Krishnan,et al.  Effects of Information-Revelation Policies Under Market-Structure Uncertainty , 2007, Manag. Sci..

[29]  M. Rothkopf,et al.  On E‐Auctions for Procurement Operations , 2007 .

[30]  L. Wein,et al.  An Inverse-Optimization-Based Auction Mechanism to Support a Multi-Attribute Rfq Process , 2001 .

[31]  Michael Y. Hu,et al.  An experimental study of marketing information utilization: The manager-researcher dichotomy , 1995 .

[32]  Lenita M. Davis,et al.  Exploring the WOW in online-auction feedback , 2005 .

[33]  Lawrence M. Wein,et al.  An Inverse-Optimization-Based Auction Mechanism to Support a Multiattribute RFQ Process , 2003, Manag. Sci..

[34]  Sandy D. Jap An Exploratory Study of the Introduction of Online Reverse Auctions , 2003 .

[35]  Stanton G. Cort,et al.  Information Asymmetry and Levels of Agency Relationships , 1998 .

[36]  M. Dufwenberg,et al.  Information disclosure in auctions: an experiment , 2002 .

[37]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[38]  Jackie Rees Ulmer,et al.  Reverse Auctions with Multiple Reinforcement Learning Agents , 2008, Decis. Sci..

[39]  J. Zaichkowsky,et al.  Bidding behavior at the auction , 2003 .

[40]  J. Reuer,et al.  Adverse Selection in Acquisitions of Small Manufacturing Firms: A Comparison of Private and Public Targets , 2005 .

[41]  Torsten Persson,et al.  Markets with Asymmetric Information: The Contributions of George Akerlof, Michael Spence and Joseph Stiglitz , 2002 .

[42]  Yuval Deutsch,et al.  You are Known by the Directors You Keep: Reputable Directors as a Signaling Mechanism for Young Firms , 2003, Manag. Sci..

[43]  Yves De Smet,et al.  Multi-criteria auctions without full comparability of bids , 2007, Eur. J. Oper. Res..

[44]  Sunil Mithas,et al.  Do Auction Parameters Affect Buyer Surplus in E-Auctions for Procurement? , 2009 .

[45]  David Porter,et al.  Combinatorial auction design , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[46]  Jyrki Wallenius,et al.  Designing Electronic Auctions: An Internet-Based Hybrid Procedure Combining Aspects of Negotiations and Auctions , 2001, Electron. Commer. Res..