International Journal of Man-Machine Studies
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Task-technology fit and individual performance
MIS Quarterly
A comparative study of conceptual data modeling techniques
Journal of Database Management
Understanding relationships with attributes in entity-relationship diagrams
ICIS '99 Proceedings of the 20th international conference on Information Systems
Understanding software operations support expertise: a revealed causal mapping approach
MIS Quarterly - Special issue on Intensive research in information systems: using qualitative, interpretive, and case methods to study information technology—third installment
Object-Oriented Program Comprehension: Effect of Expertise, Task and Phase
Empirical Software Engineering
Improving the Quality of Entity Relationship Models - Experience in Research and Practice
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Evaluating modeling techniques based on models of learning
Communications of the ACM - Service-oriented computing
Empirical comparisons of animation and narration in requirements validation
Requirements Engineering
Human Problem Solving
Information Systems Research
Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge
Information Systems Research
The Use of Cognitive Maps and Case-Based Reasoning for B2B Negotiation
Journal of Management Information Systems
A contextual fuzzy cognitive map framework for geographic information systems
IEEE Transactions on Fuzzy Systems
Contextual fuzzy cognitive map for decision support in geographic information systems
IEEE Transactions on Fuzzy Systems
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In the field of decision making, cognitive map (CM) has been successfully applied to resolving a wide variety of complicated decision making problems. However, in literature, it is very rare to find those studies investigating the influence of CM on decision maker's semantic and syntactic comprehension, and inferential problem-solving performance. To pursue this research issue, we suggest the empirical findings from the rigorous experiment where participants were invited from those having experience with six sigma projects for years. To systematically test the effect of CM, participant were grouped into two expertise types (experts vs novice) and two types of CM method knowledge (high CM knowledge vs low CM knowledge). Experimental results showed that CM can be used in significantly enhancing decision makers' semantic and syntactic comprehension, as well as inferential problem-solving.