Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/7524
Title: Investigative study on electronic auctions in Sudan
Other Titles: دراسة تحقيقية عن المزادات الإلكترونية بالسودان
Authors: Babiker, Abubaker Wahaballa Hassan
Supervisor - Omer Ishag Eldai
Keywords: Computer Science
Auction
English way
Modern techniques
Departments Auctions
Online Auction
Issue Date: 1-Sep-2009
Publisher: Sudan University of Science & Technology
Citation: Babiker,Omer Ishag Eldai.Investigative study on electronic auctions in Sudan\Abubaker Wahaballa Hassan Babiker ;Abubaker Wahaballa Hassan Babiker .-Khartoum: Sudan University of Science and Technology,COLLEGE of Computer Science and Information Technology,2009.-71p. : ill. ; 28Cm.-M.Sc.
Abstract: This study describes the mechanism of marketing of auction companies in Sudan (in Khartoum state); all auction companies in Sudan are using one bidding mechanism in all cases, which is an English auction bidding mechanism. However the study displayed how that auction companies are using the modern techniques (such as computers, internet, smart cards, and electronic cheques); we found just about 20% of these companies are using some of these techniques. Furthermore the study display the limitation of e-auction in Sudan, first of this limitation is infrastructure, weakness of technical culture, lack of support, lack of experience and research, e-payment, and legislations. The case study of this research highlights the best practices for designing and building a generalized web-based auction system using UML (Unified Model Language) suitable to Auction Company in a local market in Sudan. We use the Use Case, Class, Sequence, and Activity Diagrams offered by UML for designing the system. Finally, the study recommends auction companies in local market in Sudan to adopt and uses e-auction system that will be expand the local market place from national to international markets.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/7524
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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