Institute for Data,
Process and Knowledge Management Open main menu

Lukas Pfahlsberger

Portrait Pfahlsberger

Teaching and Research Associate (prae doc)

WU (Vienna University of Economics and Business)
Department of Information Systems and Operations Management
Institute for Data, Process and Knowledge Management

Building D2, 1st Floor
Welthandelsplatz 1, 1020 Vienna, Austria

Email: lukas.pfahlsberger@wu.ac.at
Phone: +43-1-31336/6304
Fax: +43-1-31336/90 6304
Consultation on Appointment

Lukas Pfahlsberger graduated with a B.Sc. degree in Business Informatics (Software Engineering) from the Corporate State University, Mannheim, Germany in 2016. He received his M.Sc. degree in Management (Innovation- and Technology) in 2018 from the German Graduate School of Management and Law, Heilbronn, Germany. In 2016 he started his professional career at Deutsche Post DHL as an IT system designer where he was responsible for designing processes with BPMN, ARIS, and UML. From 2017 until 2020 he worked as a Consultant / Senior Consultant at EY in the area of Data & Analytics consulting client by developing and implementing data architectures for business intelligence and big data scenarios as well as the accompanying data integration processes. Currently, he is a research assistant and a PhD student at the department of information systems and operations management. His research focuses on the interface between the technical application of BPM (i.e. process mining) and its strategic utilization in an organizational context.

Research Interests

  • BPM and Process Mining in an organizational Context

  • Process-oriented Big Data Analytics Capability

  • Design Science

Publications

  • Pfahlsberger, Lukas; Mendling, Jan; Eckhardt, Andreas (2021): “Design of a Process Mining Alignment Method for Building Big Data Analytics Capabilities”, In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54), Big Island, USA

  • Bayomie, D., Pfahlsberger, L., Revoredo, K. and Mendling, J., 2020, November. Space-Time Cube Operations in Process Mining. In IFIP Working Conference on The Practice of Enterprise Modeling (pp. 405-414). Springer, Cham.

Projects

  • ERP4Cloud

Lectures at WU

  • Process Management for Information Systems (Bachelor)

  • Business Process Analytics Project Seminar (Master)