Organizations use conformance checking, a sub-discipline of process mining, which compares process executions with predefined process models, to identify deviations in business processes. These capabilities make conformance checking highly relevant. To make its results accessible and tailored to...

Predictive process monitoring (PPM) aims to forecast how a running process instance will unfold in the future, e.g., which activity will be executed next. For this purpose, PPM techniques rely on machine learning models trained on historical event log data. Such models are assumed to learn an...

Studying the behavior of users in software systems has become an essential task for software vendors who want to mitigate usability problems and identify automation potentials, or for researchers who want to test behavioral theories. One approach to studying user behavior in a data-driven way is...

Robotic Process Automation is an established technology in organizations. In the last years, it has also received considerable attention in scholarly research with publications, special issues, and academic conferences dedicated to the topic. Given that Robotic Process Automation has now moved...

Process resilience represents a core competence for organizations in light of an increasing number of process disruptions, such as sudden increases in case arrivals or absences in the workforce. It reflects an organization’s ability to restore a process to its acceptable performance level...