Evolution of Business System Analysis Techniques
ACM Computing Surveys (CSUR)
Management information requirements assessment: the state of the art
ACM SIGMIS Database
Economics and management information systems
ACM SIGMIS Database - Information systems and its underlying disciplines: selected papers from the International Conference on Information Systems
CAKES-NEGO: Causal knowledge-based expert system for B2B negotiation
Expert Systems with Applications: An International Journal
A cognitive map-driven avatar design recommendation DSS and its empirical validity
Decision Support Systems
Expert Systems with Applications: An International Journal
Using fuzzy cognitive map for the relationship management in airline service
Expert Systems with Applications: An International Journal
Analyzing the structure of expert knowledge
Information and Management
Conceptual modeling of causal map: Object oriented causal map
Expert Systems with Applications: An International Journal
Electronic Commerce Research and Applications
An agent-based cognitive mapping system for sales opportunity analysis
Expert Systems with Applications: An International Journal
A User-Oriented Model of Factors that Affect Information Requirements Determination Process Quality
Information Resources Management Journal
Ontological semantic inference based on cognitive map
Expert Systems with Applications: An International Journal
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To complement and augment the present methods used for information requirements analysis, the application of cognitive mapping is introduced. The proposed technique, which involves there cognition of cause and effect relationships, appears to provide three benefits. It aids in the identification of irrelevant data. It can be used to evaluate the factors that affect a given class of decisions. And, most importantly, it enhances the overall understanding of a decision maker's environment, particularly when it is ill-structured. These observations are supported by a real world application of the approach to the evaluation of the performance of insurance claim representatives.