IBM Research was one of the pioneers in e-Commerce research on auctions. We have since worked on various complex auctions and exchange mechanisms. Procurement have been the key practical success story for e-Commerce. In some of our recent work we have been studying e-Procurement and e-Sourcing. One unique strength of IBM Research is world-class research activity in all areas of computer science. Given the interdisciplinary nature of e-Commerce, we have active cross-fertilization with research in operations research, with joint activity on topics such as auctions and business modeling; with Artificial Intelligence on topics such as business rules and agents; with data-mining on topics such as promotions and personalization; and with various software systems groups on topics such as e-business solutions and web-services for e-commerce.
Our e-commerce research is expanding beyond trading to the study of the large variety business processes that generate value. These include, how do to decide to what to make, how to collaborate with partners to design and build it, how to manage the flow of goods along the value-chain, how to sell and service them. In our computational approach to business we study business process representation, tools to map businesses onto IT infrastructure and and techniques to monitor, manage and improve them.
The E-Commerce Research area works in close partnership with many IBM product divisions, helping to bridge the gap between academic research and the needs of real products. Our key partners within the IBM Corporation include the Software Division, Business Integration, and IBM Global Services. We also work closely with academia and encourage research and education in e-commerce through our support for leading conferences, research fellowships and faculty partnerships.
Related Publications
Lecture Notes in Artificial Intelligence: Agent-Mediated Electronic Commerce IV: Designing Mechanisms and Systems (J. Padget, D. Parkes, N. Sadeh, O. Shehory, and W. Walsh, eds.). 2531, Springer-Verlag, 2002.
Specifying rules for electronic auctions (P.R. Wurman, M.P. Wellman, and W.E. Walsh). AI Magazine, 23 (3): 15-23, 2002.
J. Sairamesh, S. Goh, I. Stanoi, C. S. Li, S. Padmanabhan, Self-managing, disconnected processes and mechanisms for mobile e-business, Proceedings of the second international workshop on Mobile commerce, 2002 , Atlanta, Georgia, USA.
Shiwa S. Fu, Shyh-Kwei Chen, Jih-Shyr Yih, Florian Pinel, Trieu C. Chieu, Web-based Sell-side Commerce Aggregation, IC 2002: International Conference on Internet Computing 2002.
M. Wang, X. S. Wang, Optimizing Relational Store for E-Catalog Queries: A Data Mining Approach, Proceedings of 2002 ACM Symposium on Applied Computing. ACM. 2002, p. 1147-52.
Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu, Dynamic Refinement of Table Summarization or M-Commerce, Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS'02), 2002.
Replicator Dynamics for 20 agent Double Auction Game