Quotation Pinggera, Jakob and Soffer, Pnina and Fahland, Dirk and Weidlich, Matthias and Zugal, Stefan and Weber, Barbara and Reijers, Hajo A. and Mendling, Jan. 2015. Styles in business process modeling: an exploration and a model. Software & Systems Modeling (Springer) 14 (3), 1055-1080.




Business process models are an important means to design, analyze, implement, and control business processes. As with every type of conceptual model, a business process model has to meet certain syntactic, semantic, and pragmatic quality requirements to be of value. For many years, such quality aspects were investigated by centering on the properties of the model artifact itself. Only recently, the process of model creation is considered as a factor that influences the resulting model’s quality. Our work contributes to this stream of research and presents an explorative analysis of the process of process modeling (PPM). We report on two large-scale modeling sessions involving 115 students. In these sessions, the act of model creation, i.e., the PPM, was automatically recorded. We conducted a cluster analysis on this data and identified three distinct styles of modeling. Further, we investigated how both task- and modeler-specific factors influence particular aspects of those modeling styles. Based thereupon, we propose a model that captures our insights. It lays the foundations for future research that may unveil how high-quality process models can be established through better modeling support and modeling instruction.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Software & Systems Modeling
Citation Index SCI
Language English
Title Styles in business process modeling: an exploration and a model
Volume 14
Number 3
Year 2015
Page from 1055
Page to 1080
Reviewed? Y
URL http://link.springer.com/article/10.1007/s10270-013-0349-1
DOI http://dx.doi.org/10.1007/s10270-013-0349-1


Reijers, Hajo A. (Former researcher)
Mendling, Jan (Details)
Fahland, Dirk
Pinggera, Jakob
Soffer, Pnina
Weber, Barbara
Weidlich, Matthias
Zugal, Stefan
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
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