Paper Number
1372
Abstract
A modeling style characterizes a modeler’s sequencing of processing a modeling task in terms of applying the modeling language and its language concepts while constructing a conceptual model. Presently, surprisingly little is known about the different modeling styles modelers exhibit when performing conceptual data modeling. In this research, we combine complementary modes of observation including audio-visual protocols, recorded modeler-tool interactions, and pre-/post-modeling surveys of modelers to identify modeling styles in 24 data modeling processes performed by modelers at different stages of experience in data modeling. Our study identifies and characterizes three distinct modeling styles refining our current knowledge about data modeling processes and informing design science research on style-specific, targeted modeling (software tool) support for data modelers.
Recommended Citation
Rosenthal, Kristina; Wagner, Johannes; and Strecker, Stefan, "Modeling styles in conceptual data modeling: Reflecting observations in a series of multimodal studies" (2022). ECIS 2022 Research Papers. 73.
https://aisel.aisnet.org/ecis2022_rp/73
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