Scheduling policies for an on-demand video server with batching
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Reducing buyer search costs: implications for electronic marketplaces
Management Science - Special issue: Frontier research on information systems and economics
The Dynamics of Price, Revenue, and System Utilization
MMNS '01 Proceedings of the 4th IFIP/IEEE International Conference on Management of Multimedia Networks and Services: Management of Multimedia on the Internet
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
A model for discovering customer value for E-content
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A dynamic pricing scheme for e-content at multiple levels-of-service
Computer Communications
Pricing and resource provisioning for delivering E-content on-demand with multiple levels-of-service
QofIS'02/ICQT'02 Proceedings of the 3rd international conference on quality of future internet services and internet charging and QoS technologies 2nd international conference on From QoS provisioning to QoS charging
Resource allocation in decentralised computational systems: an evolutionary market-based approach
Autonomous Agents and Multi-Agent Systems
Socio-economic vision graph generation and handover in distributed smart camera networks
ACM Transactions on Sensor Networks (TOSN)
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The explosive increase in Internet bandwidth and usage opens a vista of opportunities to sell multimedia-rich software and services using the Internet. Once e-content is created, the cost of replication is negligible. Customers can download the e-content immediately after online transactions. Alternately, the content provider can stream the content to the customers. A sound business model is necessary for the success of such an enterprise. In this paper, we examine the determinants of revenue for an Internet based on-demand content delivery service. The determinants of revenue are: transaction model, pricing strategy, customer behavior, distribution resources, and competition. We briefly describe each of these factors and discuss how they relate to revenue. Our belief is that by better understanding how these factors affect revenue, content providers can develop services that generate more revenue while also being more compelling to users.