Author List: Allen, Gove N.; March, Salvatore T.;
MIS Quarterly, 2012, Volume 36, Issue 3, Page 945-A8.
Empirical research is an important methodology for the study of conceptual modeling practices. The recently published article "Representing Part-Whole Relations in Conceptual Modeling: An Empirical Evaluation" (Shanks et al. 2008) uses the lens of ontology to study a relatively sophisticated aspect of conceptual modeling practice, the representation of aggregation and composition. It contends that some analysts argue that a composite should be represented as a relationship while others argue that a composite should be represented as an entity. We find no evidence of such a dispute in the data modeling literature. We observe that composites are objects. By definition, all object-types should be represented as entities. Therefore, using the relationship construct to represent composites should not be seen as a viable alternative. Additionally, we found significant conceptual and methodological issues within the study that call its conclusions into question. As a way to offer insight into the requisite methodological procedures for research in this area, we conducted two experiments that both explicate and address the issues raised. Our results call into question the utility of using ontology as a foundation for conceptual modeling practice. Furthermore, they suggest a contrary but at least equally plausible explanation for the results reported by Shanks et al. In conducting this work we hope to encourage dialogue that will be beneficial for future endeavors aimed at identifying, developing, and evaluating appropriate foundations for the discipline of conceptual modeling.
Keywords: composition; Conceptual modeling; empirical research; entity-relationship model; information systems development; ontology; UML
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#216 0.303 conceptual model modeling object-oriented domain models entities representation understanding diagrams schema semantic attributes represented representing object relationships concepts classes entity-relationship
#51 0.179 results study research experiment experiments influence implications conducted laboratory field different indicate impact effectiveness future participants evidence test controlled involving
#17 0.160 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed literature issues assumptions provide suggest
#32 0.142 research studies issues researchers scientific methodological article conducting conduct advanced rigor researcher methodology practitioner issue relevance findings validation papers published
#44 0.067 approach analysis application approaches new used paper methodology simulation traditional techniques systems process based using proposed method present provides various
#21 0.058 research information systems science field discipline researchers principles practice core methods area reference relevance conclude set focus propose perspective inquiry