Auctions are a fundamental mechanism to automating negotiations in electronic commerce. We investigate multi-attribute auctions, an economic mechanism, which automates negotiation on multiple attributes of a deal. In this approach, we combine decision analysis techniques and single-sided auction mechanisms in order to procure goods and services. The paper describes an experimental analysis of m...

This paper approaches first and second-price sealed-bid auctions from the point of view that bidding reveals one’s valuation, and hence comes with a privacy cost which depends on the valuation estimate. The privacy cost applies even if the sale is lost, and negative pay-offs, not possible in regular auctions, are possible. Hence auctions with privacy cost are not equivalent to regular auctions ...

The Internet’s computational power and flexibility have made auctions a widespread and integral part of both consumer and business markets. Though online auctions are a multi-billion dollar annual activity, with a growing variety of sophisticated trading mechanisms, scientific research on them is at an early stage. This paper analyzes the current state of management science research on online a...

This chapter discusses structural econometric approaches to auctions. Remarkably, much of what can be learned from auction data can be learned without restrictions beyond those derived from the relevant economic model. This enables us to take a nonparametric perspective in discussing how the structure of auction models can be combined with observables to uncover (or test hypotheses about) primi...

The advent of e-commerce has brought about a radical change in the process of auctions that can be achieved by using agents. One of the important capabilities of agent is learning from the environment. In this paper, the authors are proposing case based learning for agents in online e-auctions. Case-based reasoning (CBR) is a problem solving paradigm based on the principle that similar problems...

Unlike most previous studies on Buy-It-Now (BIN) auctions, this study investigates factors that affect the level of use of BIN auctions by sellers. This study proposes a conceptual model in which product types and culture are two important factors affecting sellers’ decisions on the level of use of BIN auctions. The empirical investigation exhibits that sellers of homogeneous products are more ...

We study the problem of collusion in private value auctions by cartels whose members cannot exchange monetary transfers among themselves (i.e. weak cartels). We restrict attention to a large class of auctions that includes standard auctions, which we call winner-payable auctions. Restricting attention to winner payable auctions, we provide a complete characterization of collusion-proof auction ...

Collusion among bidders in auctions is a serious concern for those interested in designing allocation procedures to allocate public assets whether the goal of the process is efficiency or revenue maximization. In either case, bidders acting collusively can seriously impair an auctioneer’s ability to accomplish their goal. There have been a wide variety of examples of collusion discussed in the ...

Online auctions are one of the most effective ways of negotiation of salable goods over the internet. Software agents are increasingly being used to represent humans in online auctions. These agents can systematically monitor a wide variety of auctions and can make rapid decisions about what bids to place in what auctions. To be successful in open multi-agent environments, agents must be capabl...