Advancing Process Science - Leveraging Multiple Sources of Data in Business Process Management

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Type and Duration

PhD-Thesis, since June 2023


Information Systems & Business Process Management

Main Research

Business Process Management


In my dissertation project, I will contribute to the emerging research field of process science, i.e., how to leverage multiple sources of data in business process management (BPM). Particularly, I will investigate the role of spatial data for the innovative design of socio-technical systems, which has received very little attention in the information systems field. Physical space and the possible utilization of space in all its facets continuously influence processes, human interactions, and innovations in organizations. In this context, the use of the design-oriented research paradigm is intended to help explain existing phenomena and develop innovative artifacts to address relevant problems in organizations. To this end, I conduct research on process mining in the field of BPM and space mining. I am currently examining how process mining can be leveraged in organizations - process mining is advancing as an essential part of modern management in order to cope with the ever-increasing dynamics in contemporary organizational work. In analogy to the technology of process mining, space mining refers to collecting, mining, and visualizing space-relevant data to analyze the current situation in a room, e.g., to prevent the airborne transmission of SARS-CoV-2.