Guest Editors' introduction to special section: Supply chain trading agent research

Authors:
John Collins;Norman Sadeh
Affiliations:
Department of Computer Science and Engineering, University of Minnesota, 4-192 EE/CS Building, 200 Union St. SE, Minneapolis, MN 55455, USA;School of Computer Science, Carnegie-Mellon University, 5000 Forbes Avenue, Pittsburgh PA 15213, USA
Venue:
Electronic Commerce Research and Applications
Year:
2009

Citing 1
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Abstract

Predictability of prices and availability are becoming less predictable in emerging supply chain environments, as product lifecycles shorten and organizations pursue increased agility. This leads to new competitive and strategic interactions among actors across the supply chain. It also threatens to overwhelm human decision capabilities with a combinatorial explosion of possibilities. Recent advances in technical infrastructure have enabled new types of interorganizational interactions, but have not addressed the need for fundamentally new kinds of decision support systems that can help tame the complexity of this emerging environment. The papers in this special issue describe progress in semi-autonomous trading agents that are being developed to meet this need.