Pricing computer services: queueing effects
Communications of the ACM
Optimal incentive-compatible priority pricing for the M/M/1 queue
Operations Research
Pricing and delivery-time performance in a competitive environment
Management Science
Public access to the Internet
Service models and pricing policies for an integrated services Internet
Public access to the Internet
Economic issues in electronic commerce
Readings in electronic commerce
Priority pricing of integrated services networks
Internet economics
Optimal pricing for integrated services networks
Internet economics
The Economics of Electronic Commerce
The Economics of Electronic Commerce
Bob Metcalfe on What's Wrong with the Internet: It's the Economy, Stupid
IEEE Internet Computing
Electronic Commerce Customer Relationship Management: An Assessment of Research
International Journal of Electronic Commerce
An Analysis of Incentives for Network Infrastructure Investment Under Different Pricing Strategies
Information Systems Research
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Internet traffic pricing is necessary for the vitality of electronic commerce because uncontrolled congestion creates a detrimental effect on quality of the Internet services. Pricing approaches based on negative externality have potential to address the issue of congestion. However, most externality-based pricing approaches require the knowledge of consumers' private demand characteristics, and this requirement is often pointed out as the single most important shortcoming of these mechanisms. The fact that the Internet is a public good presents challenging information extraction problems for network managers in implementing any pricing mechanism. Ideally, we seek an incentive-compatible mechanism - a means of extracting the required information that provides no incentives for users to alter their behavior in an attempt to manipulate the information extraction and price setting processes. We present a solution based on a new nonparametric statistical technique that was developed for this purpose. While the results in this paper are presented in the context of our prior research on pricing, the approach presented here applies to information extraction and implementation in other resource pricing approaches.