Multivariate data analysis with readings (2nd ed.)
Multivariate data analysis with readings (2nd ed.)
Understanding Quality in Conceptual Modeling
IEEE Software
The relative importance of structural constraints and surface semantics in information modeling
Information Systems - Special issue: advanced information systems engineering
Building Knowledge through Families of Experiments
IEEE Transactions on Software Engineering
Understanding relationships with attributes in entity-relationship diagrams
ICIS '99 Proceedings of the 20th international conference on Information Systems
Defining quality aspects for conceptual models
Proceedings of the IFIP international working conference on Information system concepts: Towards a consolidation of views
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Assessing the Validity of IS Success Models: An Empirical Testand Theoretical Analysis
Information Systems Research
Using ontology to validate conceptual models
Communications of the ACM - Service-oriented computing
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
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
Journal of Management Information Systems
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Measuring the perceived semantic quality of information models
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Perceived vs. measured quality of conceptual schemas: an experimental comparison
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Ontology-driven business modelling: improving the conceptual representation of the REA ontology
ER'07 Proceedings of the 26th international conference on Conceptual modeling
Evaluation of an integrated Knowledge Discovery and Data Mining process model
Expert Systems with Applications: An International Journal
International Journal of Business Information Systems
An eclipse plugin for improving the quality of UML conceptual schemas
ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
A method for the definition and treatment of conceptual schema quality issues
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Support for quality metrics in metamodelling
Proceedings of the Second Workshop on Graphical Modeling Language Development
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This paper presents the development of a user evaluations based quality model for conceptual modeling applying the model of DeLone and McLean [6] for evaluating information systems in general. Given the growing awareness about the importance of high-quality conceptual models, it is surprising that there is no practical evaluation framework that considers the quality of conceptual models from a user's perspective. Human factors research in conceptual modeling is still scarce and the perception of quality by model users has been largely ignored. A first research goal is therefore to determine what the appropriate dimensions are for evaluating conceptual models from a user's perspective. Secondly, we investigate the relationships between these dimensions. Furthermore, we present the results of two experiments with 187 and 124 business students respectively, designed to test the proposed model and the generated hypotheses. The results largely support the developed model and have implications for both theory and practice of quality evaluation of conceptual models.