Research

Organizational Model Mining

Today’s process mining techniques have empowered numerous modern organizations to use process execution data — available from many contemporary enterprise information systems as event logs — for diagnosing and improving their business processes from multiple perspectives and on a continuing basis. Human resources contribute an area less explored in process mining, but are recognized as an impactful factor to business process improvement.

My research looks into the human resource perspective of process mining and centers around organizational model mining from event logs. We develop models, methods, and software tools to extract insights into human resource groupings and behavior relevant to business process execution. In doing so, we aim to support organizations to make guided decisions on staff deployment and organization design. Our research is built within OrdinoR, a framework for organizational model mining, as illustratrated below.

Organizational model mining framework
Figure 1: OrdinoR ("organize resources"), our framework for organizational model mining from event logs

What underpins this framework is our notion of organizational model that captures human resources, their groups, and the connection between the groupings and process execution. With this novel notion, OrdinoR lays the foundation of many exciting topics being researched — for example, how can we use organizational models discovered from event logs to analyze the behavior of resources groups working in processes?

Besides the theorectical part of research, we are also developing an open-source Python toolkit that implements OrdinoR and the relevant methods and techniques. Keep an eye on us if you find this topic interesting — the party has started 🥳!

Further Reading