An Ontological Model of an Information System
IEEE Transactions on Software Engineering
Predicting how ontologies for the semantic web will evolve
Communications of the ACM - Ontology: different ways of representing the same concept
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
An experimental examination of property precedence in conceptual modelling
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
Human Problem Solving
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
How do practitioners use conceptual modeling in practice?
Data & Knowledge Engineering - Special issue: ER 2004
Organization and problem ontology for supply chain information support system
Data & Knowledge Engineering
Ownership as a conceptual modeling construct
Data & Knowledge Engineering
Candidate interoperability standards: An ontological overlap analysis
Data & Knowledge Engineering
Information Systems Research
Toward a formal research framework for ontological analyses
Advanced Engineering Informatics
Evaluating quality of conceptual modelling scripts based on user perceptions
Data & Knowledge Engineering
Detection and prediction of errors in EPCs of the SAP reference model
Data & Knowledge Engineering
A case study on process modelling - Three questions and three techniques
Decision Support Systems
Defining and validating metrics for assessing the understandability of entity-relationship diagrams
Data & Knowledge Engineering
Improving the quality of process reference models: A quality function deployment-based approach
Decision Support Systems
Interacting services: From specification to execution
Data & Knowledge Engineering
Reusing ontologies on the Semantic Web: A feasibility study
Data & Knowledge Engineering
Semantic analysis of flow patterns in business process modeling
BPM'07 Proceedings of the 5th international conference on Business process management
Tangible media in process modeling: a controlled experiment
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
SABUMO: Towards a collaborative and semantic framework for knowledge sharing
Expert Systems with Applications: An International Journal
An approach to test-driven development of conceptual schemas
Data & Knowledge Engineering
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Over recent years, many scholars have studied the conceptual modeling of information systems based on a theory of ontological expressiveness. This theory offers four constructs that inform properties of modeling grammars in the form of ontological deficiencies, and their implications for development and use of conceptual modeling in IS practice. In this paper we report on the development of a valid and reliable instrument for measuring the perceptions that individuals have of the ontological deficiencies of conceptual modeling grammars. We describe a multi-stage approach for instrument development that incorporates feedback from expert and user panels. We also report on a field test of the instrument with 590 modeling practitioners. We further study how different levels of modeling experience influence user perceptions of ontological deficiencies of modeling grammars. We provide implications for practice and future research.