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Liechtenstein Business School

Participating Institutions

Center für Volkswirtschaftslehre Dekanat Liechtenstein Business School Department Entrepreneurship und Management Department Finance und Economics Department Information Systems und Computer Science

Team

Julia Tenschert PhD, MSc
Postdoktorandin - Entrepreneurship und Leadership
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Employee
Sabrina Urban MSc
Wissenschaftliche Mitarbeiterin / Doktorandin - Sustainable Finance und Investments
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Employee
Assoz. Prof. Dr. Benjamin van Giffen
Assoziierter Professor - Information Systems und Digital Innovation
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Employee
Rodion Vladimirov MSc
Wissenschaftlicher Mitarbeiter / Doktorand - Daten- und Anwendungssicherheit
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Employee
Prof. Dr. Jan vom Brocke
Gastprofessor - Information Systems und Process Science
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Employee
Alexander Walch MSc
Wissenschaftlicher Mitarbeiter / Doktorand - Innovative and Digital Finance Studiengangsmanager - Innovative and Digital Finance
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Employee
Dr. Stefan Wilhelm
Hochschuldozent - Entrepreneurship und Strategisches Management
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Employee
Dejan Zafirev MSc
Wissenschaftlicher Assistent / Doktorand - Finanzökonomie
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Employee
Dr. rer. oec. Djordje Zivkovic M.A. HSG
Postdoktorand - Entrepreneurship und Strategisches Management
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Social Robots for Road Safety: Pedestrian Crossing Assistance Use-Case

The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations

Referenz

Weinz, M., Zannone, N., Allodi, L., & Apruzesse, G. (2025). The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations. Paper presented at the 20th ACM Asia Conference on Computer and Communications Security.

Publication Type

Beitrag in Konferenztagungsband

Staff Members

Dr. Giovanni Apruzzese

Participating Institutions

Liechtenstein Business School Daten- und Anwendungssicherheit

DOI

https://dx.doi.org/10.1145/3708821.3736195

E-PhishGEN: Unlocking Novel Research in Phishing Email Detection

Using a Stack to Find an AI Needle: Topic Modeling for Cyber Threat Intelligence

It's Not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store

Robots for Safer Pedestrian Crossing on Two-Lane Roads

Referenz

Flores Comeca, A. L., Masarykova, N., Halinkovic, M., Galinski, M., Laskov, P., & Vinel, A. (2025). Robots for Safer Pedestrian Crossing on Two-Lane Roads. Paper presented at the 2025 IEEE International Automated Vehicle Validation Conference (IAVVC).

Publication Type

Beitrag in Konferenztagungsband

Staff Members

Prof. Dr. Pavel Laskov

Participating Institutions

Liechtenstein Business School Daten- und Anwendungssicherheit

DOI

https://dx.doi.org/10.1109/iavvc61942.2025.11219514

A Comparative Analysis of Corporate Sustainability Reporting: A Multi-Method Approach to China and the United States

Nonstandard Errors

Referenz

Menkveld, A., Dreber, A., Holzmeister, F., Huber, J., Johannesson, M., Kirchler, M., Neusüss, S., Razen, M., Weitzel, U., Abad-Díaz, D., Abudy, M., Adrian, T., Ait-Sahalia, Y., Akmansoy, O., Alcock, J., Alexeev, V., Aloosh, A., Amato, L., Amaya, D., Angel, J., Avetikian, A., Bach, A., Baidoo, E., Bakalli, G., Bao, L., Barbon, A., Bashchenko, O., Bindra, P., Bjønnes, G., Black, J., Black, B., Bogoev, D., Correa, S., Bondarenko, O., Bos, C., Bosch-Rosa, C., Bouri, E., & et al. (2024). Nonstandard Errors. The Journal of Finance, 79(3), 40-62.

Publication Type

Beitrag in wissenschaftlicher Fachzeitschrift

Staff Members

Dr. Gianluca De Nard

Participating Institutions

Liechtenstein Business School Finanzökonomie

DOI

https://dx.doi.org/10.1111/jofi.13337

Factor-Mimicking Portfolios for Climate Risk

Improved Tracking-Error Management for Active and Passive Investing

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