An experimental analysis of multi-attribute auctions

By Martin Bichler. Decision Support Systems, 2000

313 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/ba552e779156f07e33b84cc3b0be83401c7aeaad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Luitzen de Boer
2. Joni L. Jones
3. Gediminas Adomavicius
4. Sunil Mithas
5. Elena Katok
6. YoungOk Kwon
7. J. Harink
8. G. Heijboer

In Management Science and Operations Research

1. YoungOk Kwon
2. Richard Engelbrecht-Wiggans
3. Luitzen de Boer
4. Joni L. Jones
5. Gediminas Adomavicius
6. Sunil Mithas
7. Elena Katok
8. Ernan Haruvy

In Marketing

1. Joni L. Jones
2. Richard Engelbrecht-Wiggans
3. Gediminas Adomavicius
4. Sunil Mithas
5. Elena Katok
6. Ernan Haruvy
7. YoungOk Kwon

Citations in the corpus

• New Recommendation Techniques for Multicriteria Rating Systems (2007, background): “The users’ requirements will filter the potential recommendations toward what they really want.”
• A Comparison of Buyer-Determined and Price-Based Multiattribute Mechanisms (2007, background): “In Bichler (2000), the bidding takes place in two dimensions in the context of financial derivatives.”
• Do Auction Parameters Affect Buyer Surplus in E‐Auctions for Procurement? (2007, methodology): “Researchers have used laboratory experiments to test auction theory and generate insights for the B2B environment (Bichler 2000; Brosig and Reiss 2003; Katok and Roth 2004; Koppius and Van Heck 2002).”
• A conceptual model for assessing the impact of electronic procurement (2002, background): “Alternatively, multiple criteria may be used in the auction process itself (Bichler, 2000).”