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Towards Effective BPMN Plus Extensions: A Methodological Framework
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DOI：10.1002/kpm.70078.png)
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Abstract
En 中文
Enterprise Information Systems (EISs) require business process models that support integrity, flexibility, and interoperability across organizational layers. Although BPMN 2.0.2 is widely recognized for structuring, executing, and analyzing organizational workflows, it remains limited in its ability to represent complex, flexible, highly dynamic, interactive, and knowledge-intensive processes. To address this limitation, this paper proposes EM-BPMN+X (Methodology for the Development of BPMN Plus Extensions), a requirements-driven and ontology-based methodology for engineering domain-specific BPMN 2.0.2 extensions. This research follows the Design Science Research Methodology (DSRM) to ensure the rigor and relevance of its scientific contributions. It incorporates best practices in BPMN extension development within a long-term, requirements-driven research process involving iterative refinements and practical evaluations. EM-BPMN+X structures the extension engineering process from domain requirement analysis to conceptual modeling, semantic alignment with BPMN, meta-model definition, and implementation in a modeling environment. The proposed methodology provides a methodologically structured and semantically grounded process for developing BPMN extensions. Its instantiation in the domain of Sensitive Business Processes (SBPs) led to BPMN4SBP, which illustrates the feasibility and practical applicability of the approach in a demanding knowledge-intensive context. The results show that EM-BPMN+X supports the traceable transformation of domain requirements into BPMN-compliant extension artifacts and improves the expressiveness of BPMN for representing collaborative, dynamic, and knowledge-intensive processes within the selected domain context.
Keywords:
BPMN 2.0.2
business process modeling
core domain ontologies
design science research methodology
enterprise information systems
extension mechanism
knowledge management
sensitive business process
Journal
K
IF:
1.7
Papers:
118
Citations:
0