Business Process Modeling and Analysis
Business process modeling and analysis is concerned with representing, measuring, and improving the sequences of tasks that organizations use to get work done — from loan approvals to hospital admissions to software deployments. A central challenge is bridging the gap between how processes are designed on paper and how they actually unfold in practice, which researchers address by mining event logs recorded in information systems to reconstruct real process flows and check whether they conform to intended models. Active directions include building process modeling languages expressive enough to capture the messiness of real workflows without sacrificing analytical tractability, and embedding semantic knowledge into process models so that automated tools can reason about what tasks mean, not just how they are ordered. Predicting where a running process will deviate or fail before it does so remains an open problem with significant practical stakes.
- Works
- 112,618
- Total citations
- 824,714
- Keywords
- Workflow MiningBusiness Process ManagementProcess ModelsEvent LogsProcess Modeling LanguagesConformance Checking
Top papers in Business Process Modeling and Analysis
Ordered by total citation count.
- Harvard Business Review↗ 18,229
- Petri nets: Properties, analysis and applications↗ 10,523
- Communicating Sequential Processes↗ 8,891
- Design science in information systems research↗ 7,729
- Petri Net theory and the modeling of systems↗ 3,637
- Ontologies: principles, methods and applications↗ 3,464
- The interdisciplinary study of coordination↗ 3,423OA
- Introduction to Discrete Event Systems↗ 3,381
- Clarifying Business Models: Origins, Present, and Future of the Concept↗ 3,304OA
- Strategies for Theorizing from Process Data↗ 3,285
- Attractive Quality and Must-Be Quality↗ 3,247
- The Nature of Theory in Information Systems1↗ 3,202OA
Active researchers
Top authors in this area, ranked by h-index.