Vienna University of Economics and Business

Department of Information Systems and Operations

WU Vienna
Austria 🇦🇹

Since 2015, the Vienna University of Economics and Business (WU Vienna) has held triple accreditation (EQUIS, AACSB, AMBA) – a distinction earned by fewer than 1 % of universities worldwide.

The Department of Information Systems and Operations Management (ISOM), comprising 106 members including ten full professors with equal gender balance, studies socio-technical phenomena across data science, AI, information systems, ethics, logistics, and sustainability, integrating technical and organizational perspectives on digital transformation.

An active ERCIS member, ISOM collaborates with partners in Münster, St. Gallen, Berlin, Liechtenstein, Brisbane, and Stevens Institute of Technology on topics such as process mining, ethical BPM, and affect-oriented redesign. Since August 2025, Thomas Grisold has served as Professor of Information Systems and Applied AI.

ISOM also contributes to WU’s bachelor’s program, leading the STEOP orientation phase and the Foundations of Information Systems course, and leads two master’s programs:

  • Master’s in Digital Economy: The interdisciplinary program prepares students to design digital ecosystems and contribute to responsible digital transformation.
  • Master’s in Supply Chain Management: Remains among the world’s top programs, ranked 1st in Europe and 2nd globally in the 2025 QS SCM ranking.

Let's get in touch!
Djordje Djurica, PhD
Univ. Prof. Thomas Grisold, PhD

Current Research Initiatives

CREATE_AT – Circular Business Models and Supporting Policies for Timber Supply Chains

(lead: Lena Silbermayr; 2024–2027; FFG) CREATE_AT supports Austria’s construction industry in its transition to a circular economy by promoting timber as a sustainable alternative to fossil-based materials. Aligned with the European Green Deal and UN SDGs, the project develops circular business models and policy recommendations to foster sustainable transformation.

COE 12 – FWF Cluster of Excellence Bilateral AI

(lead: Axel Polleres; 2024–2029; FWF) Combining sub-symbolic (machine learning) and symbolic (knowledge representation and reasoning) approaches, this cluster advances the foundations of Broad AI—systems able to draw their own conclusions and exhibit comprehensive cognitive abilities.

Future Foundation

(lead: Sarah Spiekermann) An interdisciplinary forum of distinguished experts developing guidelines for addressing urgent questions about the good life in a digital and AI-shaped world. It focuses on protecting human dignity and designing human-centered, democratic digital transformation.

Competence Center for Applied AI and Scientific Computing

A cross-disciplinary initiative uniting researchers from the Departments of ISOM, Finance, Accounting and Statistics, and Marketing. The center brings together AI researchers and practitioners to develop innovative solutions, translate research into applications, and assess the societal and organizational impact of AI.

Competence Center for Applied AI and Scientific Computing

A cross-disciplinary initiative uniting researchers from the Departments of ISOM, Finance, Accounting and Statistics, and Marketing. The center brings together AI researchers and practitioners to develop innovative solutions, translate research into applications, and assess the societal and organizational impact of AI.

Future Foundation (lead: Sarah Spiekermann)

An interdisciplinary forum of distinguished experts developing guidelines for addressing urgent questions about the good life in a digital and AI-shaped world. It focuses on protecting human dignity and designing human-centered, democratic digital transformation.

Recent Publications

Guardrails for Human-AI Ecologies: Norm-Based Coordination and Design for Predictability (2025)

Grisold, T., Berente, N., & Seidel, S.

MIS Quarterly, forthcoming.
Investigating the impact of representation features on decision model comprehension (2025)

Djurica, D., Kummer, T. F., Mendling, J., & Figl, K.

European Journal of Information Systems, 34(1), 21-45.
OWL strict: A Constrained OWL Fragment to Avoid Ambiguities for Knowledge Graph Practitioners (2025)

David, R., Ahmeti, A., Ahmetaj, S., & Polleres, A.

In European Semantic Web Conference (pp. 47-64). Cham: Springer Nature Switzerland.
Assessing innovation in the nascent value chains of climate-mitigating technologies (2025)

Thomas, Z. H., Williams, E. D., Surana, K., & Edwards, M. R.

Environmental Research Letters, 20(9), 095009.