Professorship for IoT-based Information Systems

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Latest Publications

• Location-aware business process modeling and execution (Leo Poss, Stefan Schönig), Software and Systems Modeling, 2024.
• Navigating the moral maze: a literature review of ethical values in business process management (Christopher Kern, Leo Poss, Julia Kroenung, Stefan Schönig et al.), BPMJ, Vol. 30 No. 8, 2024.
• Leveraging the industrial internet of things for business process improvement: a metamodel and patterns (Christoph Stoiber, Stefan Schönig), Inf. Syst. E Bus. Manag., Vol. 22 No. 2, 2024.
• Process-Aware Security Standard Compliance Monitoring and Verification for the IIoT (Daniel Oberhofer, Markus Hornsteiner, Stefan Schönig), European Conference on Information Systems (ECIS 2024).
• Reading between the Lines: Process Mining on OPC UA Network Data (Markus Hornsteiner, Philip Empl, Stefan Schönig et al.), Sensors, Vol. 24 No. 14, 2024.
• TRADEmark – Using Location Data for Mobile Distributed Processes in BPM (Leo Poss, Richard Jasinski, Michael Market, Stefan Schönig), International Conference on Cooperative Information Systems (CoopIS 2023).
• LABPMN: Location-Aware Business Process Modeling and Notation (Leo Poss, Lukas Dietz, Stefan Schönig), International Conference on Cooperative Information Systems (CoopIS 2023).
• A Generic Approach Towards Location-Aware Business Process Execution (Leo Poss, Stefan Schönig), 24th International Conference on Enterprise, Business-Process and Information Systems Modeling (BPMDS 2023).
• Designing Business Processes for Comprehensive Industrial IoT Security Management (Markus Hornsteiner, Stefan Schönig), 18th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2023).
• Keeping your Maturity Assessment Alive - A Method for the Continuous Tracking and Assessment of Organizational Capabilities and Maturity (Christoph Stoiber, Stefan Schönig et al.), Business & Information Systems Engineering (BISE).

Research Summary

In the course of digitalisation and the change towards an innovation-oriented service society, business processes must map the necessary flexibility and at the same time be closely linked to people, working environments and their characteristics. The primary research focus of the professorship is on the conceptual development and practical implementation of methods and systems to support and analyse flexible, digitalised business processes. The second research focus is on the integration of "Internet of Things" (IoT) and process management approaches. Process management, process monitoring and analysis data based on IoT systems enable a comprehensive view of processes and application environments. Mobile user interfaces and portable devices enable location-independent, flexible task processing and new types of interaction possibilities. The merging of sensor technology and (business) process management also opens up new interdisciplinary areas of application in the context of Industry 4.0 applications in production and logistics.