Bernd L?hr, M.Sc. (Winfo)
Wirtschaftsinformatik, insb. Betriebliche Informationssysteme
Research Associate
- E-Mail:
- bernd.loehr@uni-paderborn.de
- Phone:
- +49 5251 60-5602
-
- Office Address:
-
威尼斯人官网 Str. 100
33098 Paderborn - Room:
- Q2.310
Research
Publications
Latest Publications
Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform
A.M. Skolik, B. L?hr, in: I. van de Weerd, B. Estrada Torres, H. van der Aa (Eds.), Business Process Management 威尼斯人官网s, Springer Nature Switzerland, Cham, 2026, pp. 288–299.
Forging the LongSWORD: Exaptation and Enhancement of the SWORD Framework for Workaround Detection
B. L?hr, C. Bartelheimer, F. K?hne, S. Nordlohne, D. Alile, A. Latten, in: Business Process Management 威尼斯人官网s, Springer Nature Switzerland, Cham, 2025.
Workarounds as a Cause of Mismatches in Business Processes—Insights from a Multiple Case Study
C. Bartelheimer, B. L?hr, M.F. Reineke, A. A?brock, D. Beverungen, Business & Information Systems Engineering (2025).
From Temporary Fixes to Informed Decisions—Design Echelons for Evaluating Workarounds
M.F. Reineke, B. L?hr, A. A?brock, C. Bartelheimer, D. Beverungen, in: International Conference on Business Process Management 2025, Springer Nature Switzerland, Cham, 2025.
Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Gesch?ftsprozessen in regulierten Energiem?rkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets
A.M. Skolik, B. L?hr, P. zur Heiden, C. Bartelheimer, HMD Praxis der Wirtschaftsinformatik (2024).
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Further Information
Research Focus
- Business Process Management
- Process Mining
- Process Mining on an enterprise-level
- Predictive & Prescriptive Process Mining