DocumentCode
2131561
Title
Research on intelligent decision-making operation modes in Modern Commerce Service Value Chain Model
Author
Wang, Li ; Song, Junde ; Ma, Di ; Tao, Xiaomei
Author_Institution
Beijing Univ. of Posts & Telecommun., Beijing
fYear
2008
fDate
4-7 May 2008
Abstract
In order to solve the existing problems of current electronic business (e-business) in modern service industry, such as lacking of intelligent decision-making capability and isolated service region, this paper brings us a solution. Firstly, this paper presents a modern commerce service value chain model (MC-SVCM) based on service oriented architecture (SOA) in modern service industry, which can be deployed on the modern service industry operation support system (MOSS). Secondly, for the service of business intelligence component(S-BI) in the MC-SVCM, this paper puts forward a group of intelligent decision-making operation modes, which not only help the buyer and seller (enterprise users) to make intelligent decision, but also calculate the association of service components so as to make optimized service process for MOSS administrators. Finally, the implemented architecture of S-BI is given. It should be noted that, this architecture is not only suitable for modern commerce, but also applicable for other modern services.
Keywords
decision support systems; electronic commerce; software architecture; e-business; electronic business; intelligent decision-making operation modes; modern commerce service value chain model; modern service industry operation support system; service oriented architecture; Business; Decision making; Electronics industry; Forward contracts; Globalization; Humans; Industrial electronics; Information technology; Isolation technology; Service oriented architecture; E-business; Intelligent decision-making; Modern service; Service Oriented Architecture; Value chain model;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location
Niagara Falls, ON
ISSN
0840-7789
Print_ISBN
978-1-4244-1642-4
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2008.4564627
Filename
4564627
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