Author:
Shuhua Liu
Affiliation:
Institute for Advanced Management Systems Research, Åbo Akademi University, Finland
Keyword(s):
Crisis Management, Early Warning Systems, Business Life Cycle, Intelligent Agents, Intelligent Data Analysis Methods
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Intelligent Agents
;
Internet Technology
;
Strategic Decision Support Systems
;
Web Information Systems and Technologies
Abstract:
In the practice of business management, there is a pressing need for good information management instruments that can constantly acquire, monitor and analyze the early warning signals of business crises, thus effectively support decision makers in the early detection of crisis situations. With the development of advanced computing methods and information technology, there bring new opportunities for the construction of such instruments. In this paper, we proposed the use of business life cycle model as a larger framework of guidance for an early warning system of business crises. We also developed a framework for an intelligent agent based early warning system.