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Business Process Modeling- A Comparative Analysis
Author(s) -
Jan Recker,
Michael Rosemann,
Marta Indulska,
Peter Green
Publication year - 2009
Publication title -
journal of the association for information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.877
H-Index - 78
ISSN - 1536-9323
DOI - 10.17705/1jais.00193
Subject(s) - computer science , business process modeling , process modeling , process (computing) , artifact centric business process model , business process management , business process , process mining , business process discovery , context (archaeology) , business process model and notation , business rule , management science , process management , data science , knowledge management , work in process , engineering , operations management , biology , operating system , paleontology
Many business process modeling techniques have been proposed over the last decades, creating a demand for theory to assist in the comparison and evaluation of these techniques. A widely established way of determining the effectiveness and efficiency of modeling techniques is by way of representational analysis. This paper comparatively assesses representational analyses of 12 popular process modeling techniques in order to provide insights into the extent to which they differ from each other. We discuss several implications of our findings. Our analysis uncovers and explores representational root causes for a number of shortcomings that remain in process modeling practice, such as lack of process decomposition and integration of business rule specification. Our findings also serve as motivation and input to future research in areas such as context-aware business process design and conventions management.

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