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The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06)
Deep Visibility in Enterprise Value Networks: Knowledge Models, Real-Time Monitoring and E-Commerce
San Francisco, CA
June 26-June 29
ISBN: 0-7695-2511-3
Mao Chen, IBM T. J. Watson Research Center Hawthorne, NY
Anca-Andreea Ivan, IBM T. J. Watson Research Center Hawthorne, NY
Jakka Sairamesh, IBM T. J. Watson Research Center Hawthorne, NY
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 multienterprise objectives and relationships between performance metrics, and a system to monitor, integrate, and analyze enterprise performance information.
Citation:
Mao Chen, Anca-Andreea Ivan, Jakka Sairamesh, "Deep Visibility in Enterprise Value Networks: Knowledge Models, Real-Time Monitoring and E-Commerce," cec-eee, pp.58, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06), 2006
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