DocumentCode :
2069670
Title :
Deep Visibility in Enterprise Value Networks: Knowledge Models, Real-Time Monitoring and E-Commerce
Author :
Chen, Mao ; Ivan, Anca-Andreea ; Sairamesh, Jakka
Author_Institution :
IBM T.J. Watson Res. Center, Hawthorne, NY
fYear :
2006
fDate :
26-29 June 2006
Firstpage :
58
Lastpage :
58
Abstract :
Value networks represent a novel approach to model complex enterprise relationships from the perspective of value creation, propagation, and evolution. The success of a value network relies on timely sensing of business insights from high volume process and product performance information. This paper addresses three major challenges of value network-driven enterprise e-commerce analysis: (1) unifying the business knowledge of multiple enterprises and their diverse and conflicting objectives in the value network, (2) sensing the value network and processes through a real-time system, and (3) analyzing the quantifiable value each enterprise contributes to the value network. The solution presented in this paper consists of a semantic knowledge model capturing multi-enterprise objectives and relationships between performance metrics, and a system to monitor, integrate, and analyze enterprise performance information
Keywords :
electronic commerce; business knowledge; e-commerce; enterprise performance information; enterprise value networks; knowledge models; performance metrics; real-time monitoring; semantic knowledge; Automotive engineering; Engines; Information analysis; Intelligent networks; Manufacturing; Measurement; Monitoring; Product development; Real time systems; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Commerce Technology, 2006. The 8th IEEE International Conference on and Enterprise Computing, E-Commerce, and E-Services, The 3rd IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7695-2511-3
Type :
conf
DOI :
10.1109/CEC-EEE.2006.33
Filename :
1640313
Link To Document :
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