| Summary: | 碩士 === 淡江大學 === 資訊工程學系 === 91 === Internet is getting more popular nowadays, and business behaviors are also changed gradually. Business transactions are no longer limited to time or space, moreover extended to a new era of electronic commerce. Basically, there are two kinds of marketplace model. One is horizontal marketplace, and the other is vertical marketplace. The previous provides all kinds of product for customers. Generally, bargaining power of the individual is very weak, usually ”take it or leave it”, so the mechanism of negotiation is simplified here. However, vertical marketplace offers more elements for the transactions between enterprises. Such as price issue, such as credit, payment terms and delivery time...etc. are cruxes to take consideration. If these complicated decision making procedures can be transferred into electronic jobs instead of, the benefit is not only saving the resource of manpower, but also enhancement of operating effciency.
Therefore, to develop a vertical e-marketplace is necessary. Meanwhile, the negotiation mechanism plays a significant role inside. Hence the study scope of this thesis is defined in developing a negotiation mechanism based on vertical marketplace. In order to improving the overall satisfactory in e-marketplace, we have to develop an equitable negotiation mechanism, to take care the interests of both buyers and suppliers, which also avoid price-war occurred. Therefore, price is not the only option, some value-added service provided should be thought over while assisting buyer to search for right supplier. The main purpose of this thesis is using Multi-Attribute Utility Theory to assist buyer analysis the proposals providing from suppliers, and generate a reasonable counterproposal cause to a successful negotiation. To effciency of e-marketplace, we use mobile agent technology. Mobile agents have a property of temporally continuous that they can substitute for buyers to search and collect information. They have the qualities of reducing the network load and overcoming network latency, so they can ease the need of online all the time.
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