An agent-based system for trading partner management in B2B e-commerce

Organizations invest in B2B and workflow management systems to enable seamless integration of multiple transaction systems that support their business processes. However, knowledge of the organization´s performance becomes buried within internal processing of the B2B workflow platform. This research introduces a framework that analyses workflow audit logs, utilizing DSS principles together with agent technologies, to feedback the organization´s performance measures. We apply this framework to a private trading exchange case study where suppliers participate in an interorganizational order fulfillment workflow. Agents refine the organization´s knowledge of supplier productivity and commitment as they learn from interactions over time with trading partners