Business process modelling and analysis using discrete-event simulation
Proceedings of the 30th conference on Winter simulation
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Aris-Business Process Modeling
Aris-Business Process Modeling
Workflow Management: Models, Methods, and Systems
Workflow Management: Models, Methods, and Systems
Integration of risk identification with business process models
Systems Engineering
Factors and measures of business process modelling: model building through a multiple case study
European Journal of Information Systems - Special section: PACIS 2004
Data Quality Management using Business Process Modeling
SCC '06 Proceedings of the IEEE International Conference on Services Computing
Managing Business Process Risk Using Rich Organizational Models
COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 02
Business Process Management: Concepts, Languages, Architectures
Business Process Management: Concepts, Languages, Architectures
ARES '08 Proceedings of the 2008 Third International Conference on Availability, Reliability and Security
AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
Cobit 4.1
Conceptual model of risk: towards a risk modeling language
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
Design science in information systems research
MIS Quarterly
Real-time risk monitoring in business processes: A sensor-based approach
Journal of Systems and Software
Information and Software Technology
Securing business processes using security risk-oriented patterns
Computer Standards & Interfaces
| Hi-index | 0.00 |
Although business process modeling is considered as a core activity in enterprise risk management, existing process modeling languages do not include a complete notation for documenting how processes can fail. This paper develops a conceptual framework for extending standard business process metamodels to include comprehensive information that is useful for managing and quantifying operational risk in business processes. We provide formal extensions of the Business Process Modeling Notation standard, as well as a step-by-step process for creating a risk-extended process model.