The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Understanding relationships with attributes in entity-relationship diagrams
ICIS '99 Proceedings of the 20th international conference on Information Systems
IEEE Transactions on Software Engineering
Communications of the ACM - Two decades of the language-action perspective
How do practitioners use conceptual modeling in practice?
Data & Knowledge Engineering - Special issue: ER 2004
Journal of Management Information Systems
Modern Database Management (8th Edition)
Modern Database Management (8th Edition)
Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge
Information Systems Research
Fundamentals of Database Systems
Fundamentals of Database Systems
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While the application domain is acknowledged to play a significant role in IS problem solving, little attention has been devoted to formal analyses of what role it plays, why and how it makes a difference, and in what circumstances. The theory of dual-task problem solving, which formalizes and generalizes the role of both the IS and application domains in IS problem solving, responds to these issues. The theory, which is based on the theory of cognitive fit, can be used to identify supportive, neutral, and conflicting interactions between the two types of knowledge, depending on problem structure. We used this theory to determine how IS and application domain knowledge support the solution of schema-based problem-solving tasks. Although such tasks are well-structured and therefore can be solved using IS domain knowledge alone, they are not fully structured. They require knowledge transformation, which is aided by application domain knowledge. Further, in well-structured tasks, IS and application domain knowledge play independent roles, with no interaction between the two. Analysis of verbal protocol data from the perspective of information use showed that problem solution is aided by both better IS knowledge and better application knowledge.