Research Grants & Funding
Overview of current research project fundings
KEBAP
Construction and Evaluation of Reference Models and Building Blocks for AI-Powered Process Automation
In the cooperative research project KEBAP, we are investigating the possibility of expanding IT support for business processes in SMEs at the lowest possible expense. The resulting solutions should be adaptable to different application contexts.
We are investigating whether and how the use of Robotic Process Automation (RPA) and Artificial Intelligence (AI) in SMEs can be implemented for process automation purposes in a way that is financially feasible and achievable in terms of human resources. For this purpose, both technical framework conditions and the use of reference models for the reuse of technical components will be researched.
In summary, the proposed research project should answer the following research questions:
- Reference modelling of digital transformation: What contribution does reference modelling of procedures and processes (i.e. information models) provide to increase the efficiency and effectiveness of digital transformation?
- Technical reference modules for process automation: How should technical reference modules be designed to increase efficiency and effectiveness?
The research results are developed in close cooperation with the participating companies and introduced into teaching via transfer structures.
This research project is funded at the Fachhochschule Südwestfalen by the Bundesministerium für Bildung und Forschung (Förderkennzeichen 13FH034KX0).
GovLIT
Governance of Lightweight IT
The German Research Foundation (DFG) has funded a new research project on the Governance of Lightweight IT. We will start opening applications for pre/post-doc positions soon.
Lightweight IT refers to a new class of technologies and a corresponding knowledge regime, driven by users' needs for solutions and enabled by the consumerization of digital technology. Examples include mobile apps, low code development platforms, or robotic process automation. These solutions, however, put the IT governance function under a lot of pressure. Best practices to govern lightweight IT solutions in various contexts are needed.
In our three-year research project “Governance of Lightweight IT”, we want to study the following questions:
- Which internal and external contextual factors influence the governance of lightweight IT?
- How do different governance approaches in different contextual settings influence the success of lightweight IT usage?
- What are best practices for organizations to design their IT governance for lightweight IT?
This research project is funded at the Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 541177056
Find more information here: https://tm.ris.uni-due.de/research/research-grants-funding/
ProMatU
Process Mining at Utilities
The cooperative research project ProMatU is investigating the design, analysis and improvement of business processes in the energy supply sector using process mining. Central research questions of the project relate to the analysis of application scenarios, the preparation and provision of data, the potential of different data types and aspects of the practical implementation of process mining at the interface between computational intelligence and data mining on the one hand and process modeling and analysis on the other.
The research results are developed in close cooperation with the participating companies, communicated via publications in specialist media and to the general public and incorporated into teaching via transfer structures.
This research project is funded at the Fachhochschule Südwestfalen by
- the Bundesministerium für Bildung und Forschung (Förderkennzeichen 13FH509KX1).
- Enervie - Südwestfalen Energie und Wasser AG
- items GmbH & Co. KG