The Long Tail: Why the Future of Business Is Selling Less of More
The Long Tail: Why the Future of Business Is Selling Less of More
Electronic Commerce Research and Applications
A study on X party material flow: the theory and applications
Enterprise Information Systems
Enterprise Information Systems
Anatomy of the long tail: ordinary people with extraordinary tastes
Proceedings of the third ACM international conference on Web search and data mining
Business information query expansion through semantic network
Enterprise Information Systems
A service-based framework for pharmacogenomics data integration
Enterprise Information Systems
A methodology toward manufacturing grid-based virtual enterprise operation platform
Enterprise Information Systems
Enterprise Information Systems
A survey of software adaptation in mobile and ubiquitous computing
Enterprise Information Systems
Extending enterprise architecture modelling with business goals and requirements
Enterprise Information Systems - Empowering Enterprises Through Next-Generation Enterprise Computing - 13th International IEEE EDOC Conference (EDOC 2009)
Climbing the ladder: capability maturity model integration level 3
Enterprise Information Systems - Empowering Enterprises Through Next-Generation Enterprise Computing - 13th International IEEE EDOC Conference (EDOC 2009)
Healthcare information systems: data mining methods in the creation of a clinical recommender system
Enterprise Information Systems
Measuring the performance of Internet companies using a two-stage data envelopment analysis model
Enterprise Information Systems
Enterprise Information Systems
Enterprise Information Systems
Piracy in cyber space: consumer complicity, pirates and enterprise enforcement
Enterprise Information Systems
Carrying your long tail: Delighting your consumers and managing your operations
Decision Support Systems
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A growing concern about the consumer behavior in Internet economy has spurred the study of Material Flow, resulting in a unique type of consumer behavioral analysis. This research proposes an enhanced conceptual model for Personalized Material Flow Services for consumer behavior. In the era of Internet information technology, customer's taste tends to be personalized for their market demand. It is observed that there are number of "Long Tail" phenomena in several successful e-commerce business cases. However, the Long Tail phenomenon is an open question for our research in terms of its role in e-commerce marketing. In the proposed model-X-Party Personalized Material Flow Services, three elements are discussed. They are "providing", "locating" and "obtaining" based on X-Party Material Flow theory for which the concept of virtual collector, information filter and Material Flow coordinator are discussed. Business examples of Amazon, Dangdang and Taobao are used to analyze the elements of the virtual collector, information filter and Material Flow coordinator of the Personalized Material Flow Service system.