A well functioning reputation and feedback system is foundational in consumer-to-consumer electronic commerce, an example of which is the electronic auction. Our interest in this paper is the analysis of the predictive power of both buyer and seller comments in determining the resolvability of transaction disputes in online auctions. Using data gathered from the eBay, Inc. reputation system, we...

The recent emergence of internet-based electronic market places is changing the structure of traditional marketing channels in a fundamental way. Collaboration may increase because of lower transaction costs related with increased information availability. At the same time these same factors, through the effect they have on mutual dependency and uncertainty in the buyer-seller dyad, are conside...

We present a model for buying agents in e-marketplaces to interpret evaluations of sellers provided by other buying agents, known as advisors. The interpretation of seller evaluations is complicated by the inherent subjectivity of each advisor, the possibility that advisors may deliberately provide misleading evaluations to deceive competitors and the dynamic nature of seller and advisor behavi...

Electronic commerce is becoming an increasingly important channel for retail commerce. There are a large number of e-commerce sites on the Internet. Intelligent agents have been studied very widely in the field of artificial intelligence and multi-agent systems. There have been several researches on agent-mediated electronic commerce. In particular, we focus on volume discount mechanism based o...

This paper presents new multi-agent negotiation models for electronic commerce. These models address M-N-P negotiation problems, i.e. negotiations between m buyers and n sellers for buying p dependent products or services. These products or services are not necessarily provided by the same seller. We propose two new negotiation protocols as well as algorithms describing the behaviors of seller ...

In this article, we examine the effects of the implementation of electronic invoicing on buyer-seller relationships. We apply the framework by Cannon and Perreault (1999) to analyze the changes in the relationship connectors between the two parties. Drawing on qualitative interview data from a single case study, we find that the implementation of electronic invoicing has a strong impact on the ...

Seller-driven business models (e.g. online bookstores) have been successfully implemented and concretized in Electronic Commerce both in practice and science in the last years. In contrast to this we can depict that more customer-driven business models are implemented in the beginning. One major problem of customizable products and services in Electronic Commerce can be found in the adaptation ...

In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative models, we consider a single seller market and a two seller market, and formulate the dynamic pricing problem in a setting that easily generalizes to markets with more than two sellers. We first formulate the single seller...

This thesis examines the topic of designing electronic marketplaces populated by intelligent software agents acting on behalf of buyers and sellers. In particular, we explore the challenge of having buying agents learn rich representations of other agents providing information about sellers (known as advisors) in order to make effective decisions about which selling agents are best for purchasi...

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