Business Process Modeling and Analysis
Business process modeling and analysis is concerned with formally representing, discovering, and improving the sequences of tasks that organizations use to get work done — from loan approvals to hospital admissions. A central challenge is extracting accurate process models directly from the event logs that information systems generate, a practice called workflow mining, and then checking how closely real behavior conforms to those models. Researchers are also grappling with how to give workflows enough flexibility to handle exceptional cases without sacrificing predictability, and how to enrich process representations with semantic meaning so that systems can reason about what steps actually accomplish, not just their order. Open questions include how to handle the complexity and noise of real-world event data at scale, and how predictive monitoring can reliably anticipate deviations before they cause downstream harm.
- Works
- 114,749
- Total citations
- 833,629
- 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↗ 10,563
- Communicating Sequential Processes↗ 8,893
- Design science in information systems research↗ 7,732
- Petri Net theory and the modeling of systems↗ 3,637
- Ontologies: principles, methods and applications↗ 3,483
- Strategies for Theorizing from Process Data↗ 3,449
- The interdisciplinary study of coordination↗ 3,447OA
- Introduction to Discrete Event Systems↗ 3,389
- Clarifying Business Models: Origins, Present, and Future of the Concept↗ 3,326OA
- Attractive Quality and Must-Be Quality↗ 3,248
- The Nature of Theory in Information Systems1↗ 3,246OA
Active researchers
Top authors in this area, ranked by h-index.