Business Process Modeling
Journal of the Association for Information Systems
Research Article
Business Process Modeling- A Comparative Analysis*
Jan Recker Faculty of Science and Technology Queensland University of Technology j.recker@qut.edu.au Michael Rosemann Faculty of Science and Technology Queensland University of Technology m.rosemann@qut.edu.au
Marta Indulska UQ Business School The University of Queensland
m.indulska@business.uq.edu.au
Peter Green UQ Business School The University of Queensland
p.green@business.uq.edu.au
Abstract
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. Keywords: Business process management, Process modeling, Representation theory, BWW model
* Yair Wand was the accepting senior editor. Joerg Evermann, Andreas Opdahl, and Pnina Soffer were the reviewers. This article was submitted on January 9, 2006 and went through two revisions.
Volume 10, Issue 4, pp. 333-363, April 2009
Volume 10
Issue4
Article 2
Business Process Modeling- A Comparative Analysis
1. Introduction
Business process management (BPM) continues to be a top business priority, and building business
Research Article
Business Process Modeling- A Comparative Analysis*
Jan Recker Faculty of Science and Technology Queensland University of Technology j.recker@qut.edu.au Michael Rosemann Faculty of Science and Technology Queensland University of Technology m.rosemann@qut.edu.au
Marta Indulska UQ Business School The University of Queensland
m.indulska@business.uq.edu.au
Peter Green UQ Business School The University of Queensland
p.green@business.uq.edu.au
Abstract
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. Keywords: Business process management, Process modeling, Representation theory, BWW model
* Yair Wand was the accepting senior editor. Joerg Evermann, Andreas Opdahl, and Pnina Soffer were the reviewers. This article was submitted on January 9, 2006 and went through two revisions.
Volume 10, Issue 4, pp. 333-363, April 2009
Volume 10
Issue4
Article 2
Business Process Modeling- A Comparative Analysis
1. Introduction
Business process management (BPM) continues to be a top business priority, and building business