iBOM: A Platform for Intelligent Business Operation Management
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Business Process Management: Concepts, Languages, Architectures
Business Process Management: Concepts, Languages, Architectures
SENTINEL: a semantic business process monitoring tool
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
Efficient Compliance Checking Using BPMN-Q and Temporal Logic
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Oryx --- An Open Modeling Platform for the BPM Community
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Modeling organizational performance indicators
Information Systems
A core ontology for business process analysis
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Organizational ontologies to support semantic business process management
Proceedings of the 4th International Workshop on Semantic Business Process Management
Defining process performance indicators by using templates and patterns
BPM'12 Proceedings of the 10th international conference on Business Process Management
On the definition and design-time analysis of process performance indicators
Information Systems
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It is increasingly important to evaluate the performance of business processes. A key instrument to carry out this evaluation is by means of Process Performance Indicators (PPIs) as suggested in many methodologies and frameworks like, for instance, COBIT, ITIL or EFQM. As a consequence, it is convenient to integrate the management of PPIs into the whole business process lifecycle from its design to its evaluation. In this paper, we focus on the definition of PPIs as a necessary step to achieve that integration. Unfortunately, current proposals are not able to specify several usual types of PPIs, specially those related to data, and are not well designed to enable the automated analysis of PPIs at design-time. In this paper, we present an ontology for the definition of process performance indicators that overcomes this issue, explicitly defines the relationships between the indicators and the elements defined in a business process modelled in BPMN, and enables the analysis of PPIs at design-time. Furthermore, this ontology has been validated by means of several real-world scenarios.