University of Liechtenstein

Department of Information Systems and Computer Science

Universität Liechtenstein
Liechtenstein 🇱🇮

The Department of Information Systems and Computer Science at the Liechtenstein Business School (LBS) is shaping Liechtenstein’s IT landscape through cutting-edge research and excellent education. Its work combines technical and economic perspectives, focusing on digital innovation, data science, AI, security, and business processes. Collaboration within LBS and with research groups across Europe and beyond fosters synergies in digital finance, entrepreneurship, innovation, and technology.

Selected Highlights

Awards. Advije Rizvani received the AES Academic Excellence Award 2025, presented by Albanian Engineering of Switzerland. The award recognizes her innovative research and meaningful contributions to the academic community in Switzerland.

Inaugural Lecture. In his inaugural lecture titled “Tradition Meets Technology: Overcoming Cultural Tensions in AI Adoption within Lean Quality Management”, Benjamin van Giffen explored the organizational and cultural challenges of integrating AI into established management systems. The event featured contributions from university leadership and industry experts, highlighting the relevance of his research at the intersection of academic excellence and business practice.

Doctoral Consortium. To get in contact with fellow doctoral students, Franziska Röckel took part in the 12th doctoral consortium of the Swiss Chapter of the AIS (CHAIS) in Lausanne presenting a first research draft on AI possibilities in the context of Future of Work. It was a fruitful discussion on the topic giving further direction and motivation for her PhD journey.

Let's get in touch!
Assoc. Prof. Dr. Benjamin van Giffen

Activities

GenAI-Natives (Erasmus+)

Research

The project aims to enhance the understanding and effective integration of generative AI primarily in secondary education by evaluating real-world AI usage. It seeks to provide best practices to use and self-implement AI tools that empower teachers to leverage AI ethically and effectively, fostering digital literacy, AI competency, and innovative teaching methods.

Innovative Approach to Kid’s Cybersecurity Education (Erasmus+)

Research

The indirect goal of the project is to educate youngsters about cybersecurity, safeguarding them from various digital threats. It also seeks to encourage kids to consider cybersecurity as a future career. The main goal is to identify specific threats to children and provide educators with interactive materials to educate youngsters about these threats.

Recent Publications

Hackers and AI: investigating hackers’ technical innovation through the lens of cyber threat intelligence and natural language processing (Doctoral thesis)

Saskia Laura Schröer (Supervisor: Pavel Laskov)

Dissertation
Battery health platform: a platform for tracking, predicting, and maintaining the health of batteries powering IoT devices (Doctoral thesis) (2025)

Jonas Bokstaller (Supervisor: Johannes Schneider)

Dissertation
Explaining and understanding organizational dynamics using digital trace data (Doctoral thesis)

Sophie Hartl (Supervisor: Jan vom Brocke)

Dissertation
How to improve both supply chain resilience and sustainability: an information systems perspective (Doctoral thesis)

Amandine Herbé (Supervisor: Jan vom Brocke)

Dissertation
Advancing process science – leveraging multiple sources of data in Business Process Management (Doctoral thesis)

Gregor Kipping (Supervisor: Jan vom Brocke)

Dissertation
Fine-tuning image-to-text models on Liechtenstein tourist attractions (2025)

Ebrahimi, P., & Schneider, J.

Electronic Markets, 35(1), 55.
Engaging citizen scientists: designing an open research system for collaborative problem exploration (2025)

Gau, M., Greif-Winzrieth, A., Maedche, A., Weinhardt, C., & vom Brocke, J.

Electronic Markets, 35(1), 12.
Advanced Management Information Systems (2025)

Schenk, B.

Springer, Cham.
SoK: On the offensive potential of AI (2025)

Schröer, S. L., Apruzzese, G., Human, S., Laskov, P., Anderson, H. S., Bernroider, E. W., … & Wang, G.

In 2025 IEEE Conference on Secure and Trustworthy Machine Learning (pp. 247-280).
The Culture Clash of AI Adoption in Lean Quality Management. Resolving the Tensions at Siemens Electronics Works Amberg (2025)

van Giffen, B., Beitinger, G., Ludwig, H., Schiano, B., Schmidt, K., & vom Brocke, J.

Information Systems Journal.