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Designing Explainable AI: The Case of Dashboard Design for Fraud Detection in Public Transport Ticketing Systems

Reference

Burger, M., Näscher, H.-H., Kipping, G., Gau, M., & vom Brocke, J. (2026). Designing Explainable AI: The Case of Dashboard Design for Fraud Detection in Public Transport Ticketing Systems. Paper presented at the 59th Hawaii International Conference on System Sciences (HICSS), Maui, USA.

Publication Type

Paper in Conference Proceedings

Staff Members

Prof. Dr. Jan vom Brocke Dr. Michael Gau Dr. rer. oec. Gregor Kipping

Participating Institutions

Liechtenstein Business School Information Systems and Digital Innovation

How to identify the unit of account? An analysis of crypto markets

FX Factor Momentum Pre- and Post-GFC

Reference

Bartel, M., Hanke, M., & Petric, S. (2025). FX Factor Momentum Pre- and Post-GFC. Presented at the Quantitative Methods in Finance Conference, Sydney, Australia.

Publication Type

Presentation at Scholarly Conference

Staff Members

Prof. Dr. Michael Hanke Dr. rer. oec. Merlin Bartel Sebastian Petric

Participating Institutions

Liechtenstein Business School Finance

Research

The impact of financial stress on FX trading strategies
FFF-Funding Project
June 2024 until May 2025 (finished)
The markets for the major world currencies are highly liquid with large volumes and numbers of transactions. Trading in these markets is 24/7. Compared to markets for other financial assets, these ... More

Skills der Zukunft: Was Job Postings über KI-Kompetenzen verraten

Reference

Scheuffele, M., & Martini, M. (2025, Nov 26). Skills der Zukunft: Was Job Postings über KI-Kompetenzen verraten. Institutsseminar des Fraunhofer INT.

Publication Type

Scientific Presentation

Staff Members

Marie Scheuffele MSc

Participating Institutions

Liechtenstein Business School Technology and Innovation

Research

Breaking new ground in data-driven foresight - An exploration of alter-native data sources for strategic and technology foresight
FFF-Funding Project
May 2025 until December 2025 (finished)
In the data-driven foresight (DDF) discipline, researchers and practitioners make use of a variety of data sources to gain data-based insights into future-oriented research questions. The most ... More

Künstliche Intelligenz für den Wiederaufbau von Kulturgütern am Beispiel der Rekonstruktionsfrage von Schloss Vaduz

Reference

González, A., Stockhammer, D., & Schneider, J. (2024). Künstliche Intelligenz für den Wiederaufbau von Kulturgütern am Beispiel der Rekonstruktionsfrage von Schloss Vaduz. Forschungsmagazin 160 im Quadrat(5).

Publication Type

Article in Scientific Journal

Staff Members

Prof. Dr. Johannes Schneider Prof. Dr. Daniel Stockhammer Dr. Andrea Gonzalez

Participating Institutions

Liechtenstein Business School Liechtenstein School of Architecture Built Heritage and Upcycling Artificial Intelligence and Data Science

Upcycling. Wieder- und Weiterverwendung in der Architektur

Zero Waste Architecture. Das Bauwerk als Materialbank und Wissensspeicher

Upcycling as a Design Principle in Architecture

BIM-enabled material reuse: Needs and barriers from a SwissLiechtenstein perspective

Das Neue Neu. Nachhaltigkeit und Verantwortung in der Architektur

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