Why looking isn't always seeing: readership skills and graphical programming
Communications of the ACM
Comparing data modeling formalisms
Communications of the ACM
Formal deadlock elimination in an object oriented conceptual schema
Data & Knowledge Engineering
Task-technology fit and individual performance
MIS Quarterly
The relative importance of structural constraints and surface semantics in information modeling
Information Systems - Special issue: advanced information systems engineering
Understanding relationships with attributes in entity-relationship diagrams
ICIS '99 Proceedings of the 20th international conference on Information Systems
Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
Information Systems Research
Database Systems: A Practical Approach to Design, Implementation and Management (4th Edition)
Database Systems: A Practical Approach to Design, Implementation and Management (4th Edition)
International Journal of Human-Computer Studies
Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Model-Driven Design Using Business Patterns
Model-Driven Design Using Business Patterns
Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge
Information Systems Research
Journal of Management Information Systems
The Role of Similarity in the Reuse of Object-Oriented Analysis Models
Journal of Management Information Systems
Evaluating quality of conceptual modelling scripts based on user perceptions
Data & Knowledge Engineering
Conceptual Modeling of Information Systems
Conceptual Modeling of Information Systems
Defining and validating metrics for assessing the understandability of entity-relationship diagrams
Data & Knowledge Engineering
The READY Model: Patterns of Dynamic Behavior in REA-Based Accounting Applications
Information Systems Management
IEEE Transactions on Software Engineering
Object class or association class? testing the user effect on cardinality interpretation
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Capturing Process Knowledge for Multi-Channel Information Systems: A Case Study
International Journal of Information System Modeling and Design
Journal of Database Management
Research Note: Ontology-Based Structuring of Conceptual Data Modeling Patterns
Journal of Database Management
Open Source Software Development Process Model: A Grounded Theory Approach
Journal of Global Information Management
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In this paper, the author investigates the effect on understanding of using business domain models that are constructed with Resource-Event-Agent REA modeling patterns. First, the author analyzes REA modeling structures to identify the enabling factors and the mechanisms by means of which users recognize these structures in a conceptual model and description of an information retrieval and interpretation task. Based on this understanding, the author hypothesizes positive effects on model understanding for situations where REA patterns can be recognized in both task and model. An experiment is then conducted to demonstrate a better understanding of models with REA patterns compared to information equivalent models without REA patterns. The results of this experiment indicate that REA patterns can be recognized with minimal prior patterns training and that the use of REA patterns leads to models that are easier to understand for novice model users.