By Makoto Yokoo, Takayuki Ito, Minjie Zhang, Juhnyoung Lee, Tokuro Matsuo
This booklet addresses new traits and cutting edge facets in digital trade study, together with B2B (business to business), B2C (business to customers), provide Chain administration, enterprise technique administration, Agent-based E-Commerce, E-Commerce Intelligence, selection aid structures, net companies, brokers and fiscal Incentives, Auctions and Negotiations, Case research in E-Commerce, and so on.
Electronic trade has been made fast growth and is an efficient type of monetary actions for enterprise, executive, end-users, and shoppers. the distinctiveness of this e-book is together with either analyses, thought of knowledge economics, and functional purposes. This ebook additionally introduces cutting edge applied sciences for digital trade and their purposes with case research to assist researchers, method managers, company mangers and freshmen clutch the hot tendencies of digital trade and plan the perfect enterprise strategy.
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Org 7. Ig-hoon Lee, Suekyung Lee, Taehee Lee, Sang-goo Lee, Dongkyu Kim, Jonghoon Chun, Hyunja Lee, Junho Shim, “Practical Issues for Building a Product Ontology System”, DEEC 2005 (Data Engineering Issues in E-Commerce). 8. L. E. Wray, and H. Liu, “Ontological Engineering for B2B E- Commerce”, International Conference on Formal Ontology in Information Systems (FOIS’01), ACM Press, 2001. 9. Y. Ding, M. Korotkiy, B. Omelayenko, V. Kartseva, V. Zykov, M. Klein, E. Schulten, and D. Fensel, “GoldenBullet: Automated Classification of Product Data in E-commerce,” Proceedings of Business Information System, 2002 10.
We want the server to first extract the product information from HTML documents of the Internet shopping malls requested by mobile clients, package it in XML, and send the packaged information to the mobile clients. The Internet shopping mall documents are usually written in HTML. These HTML documents are packaged in XML by the two steps. The first step is a marking phase. In this phase, product elements in which mobile clients are essentially interested are marked in the HTML documents. The second step is an extraction phase.
Next, we give an expression for the utility of buyer i, u( i) as follows. ui () = vi (AP ) − paymenti (AP ) = viP (Gfi inal ; {cond}) + viS (AP ) − paymenti (AP ) This is called a quasi-linear utility. AP represents an allocation plan. Gfi inal represents a bundle of goods allocated to buyer i in the final allocation. A method for determining the amount of payment paymenti is described in the next section. We assume that a primary benefit depends only on the final allocation. The disutility caused by the defect of insincere sellers is summed up along the transition path of allocations.