Abstract

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.

Highlights

  • Considering the intense usage of business process modeling in all types of business contexts, the relevance of process models has become obvious

  • We found that modelers may change their modeling style subject to modeler- and task-specific characteristics

  • Considering the first question, the cluster analysis revealed for both tasks three modeling styles, which can be distinguished by three main aspects of the modeling process

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Summary

Introduction

Considering the intense usage of business process modeling in all types of business contexts, the relevance of process models has become obvious. Actual process models display a wide range of problems [20] falling into the quality dimensions of syntactic, semantic, and pragmatic quality of a model [17]. Syntactic and semantic quality relate to model. Reijers Perceptive Software, Apeldoorn, The Netherlands construction and address the correct use of the modeling language and the extent to which the model truthfully represents the real-world behavior, respectively. Pragmatic quality addresses the extent to which a model supports its usage for purposes such as understanding behavior and system development. Considering process models whose purpose is to develop an understanding of real-world behavior, pragmatic quality is typically related to the understandability of the model [15]. An in-depth understanding of the factors influencing the various quality dimensions of process models is in demand

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