Track Co-Chairs:
Patrick Zschech, TUD Dresden University of Technology, Germany
Barbara Dinter, Chemnitz University of Technology, Germany
Ciara Heavin, University of College Cork, Ireland
Patrick Mikalef, Norwegian University of Science and Technology, Norway

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Schedule
2026
Sunday, June 14th
12:00 AM

A Novel Conceptual Framework For Collaboration In Data Analytics Projects

Nikolaj Krebs Pedersen, IT University of Copenhagen
Aycan Aslan, IT University of Copenhagen

12:00 AM

12:00 AM

A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support

David Zapata Gonzalez, Paderborn University

12:00 AM

12:00 AM

Designing An AI-Augmented Decision Support System For RFQ Pricing In Smes: An Action Design Research Study

Christos Chatziioannou, Bentley University
Shawn Ogunseye, Bentley University

12:00 AM

12:00 AM

Designing For Imperfect Prompts: A Simulation-Based Evaluation Of An LLM-Based Enterprise Data Assistant Using Knowledge Graphs

Niklas Wagner, Karlsruhe Institute of Technology
Alexander Maedche, Karlsruhe Institute of Technology (KIT)

12:00 AM

12:00 AM

Explain Decisions, Not Just Predictions! An Evaluation Of AI Agent Transparency

Kai Heinrich, Otto-von-Guericke-Universität Magdeburg
Armin Keshavarzi, OVGU Magdeburg
Sabahat Nagihan Köksalan Arslan, OVGU Magdeburg

12:00 AM

12:00 AM

Explaining Intentions To Use AI-Driven Business Analytics: An FSQCA Integration of TAM and TTF

Xenia J. Mamakou, Athens University of Economics and Business

12:00 AM

12:00 AM

Exploring The Adoption Of Data-Driven Product Design: Identification and Quantitative Validation Of Antecedents

Dominic Schober, Technical University of Munich

12:00 AM

12:00 AM

Integrating Intuition and Analytics In Managerial Decision-Making

Jenny Elo, Tampere University
Jayson Warren Peters, University of Cape Town
Grant Oosterwyk, University of Cape Town
Pitso Tsibolane, University of Cape Town
Laura Watkowski, University of Bayreuth

12:00 AM

12:00 AM

Managing The Data & Analytics Journey - Learnings From An Industry Hub

Sebstian Junker, Technical University Munich
Benedikt Bluemelhuber, Technical University of Munich
Benedict Langer, Technical University of Munich

12:00 AM

12:00 AM

Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning

Kevin Zalipski, Paderborn University
David Zapata Gonzalez, Paderborn University
Oliver Mueller, Paderborn University

12:00 AM

12:00 AM

Sales Forecasting Under Event Disruption: A Dynamic Product Network Perspective

Xiao Zeng, The Hong Kong Polytechnic University
Hao Zeng, Xiamen University of Technology
Mengyao Fu, Deakin University
Chee-Wee Tan, Hong Kong Polytechnic University

12:00 AM

12:00 AM

Sustainalyzer - An Analysis Tool For Sustainability Communication On Social Media

Timo Hammerl, University of Regensburg

12:00 AM

12:00 AM

Towards Causal Resource Reallocation In Prescriptive Process Monitoring

Lisa-Marie Linkohr, Friedrich-Alexander-Universität Erlangen-Nürnberg
Ahmed Rayen Bourguiba, Friedrich-Alexander-Universität Erlangen-Nürnberg
Annina Liessmann, Friedrich-Alexander-Universität Erlangen-Nürnberg

12:00 AM

12:00 AM

Understanding Uncertainties In Explainable AI: A Structured Literature Review and Research Agenda

Maximilian Förster, Karlsruhe Institute of Technology
Michael Hagn, University of Regensburg
Nico Hambauer, University of Regensburg
Paula Kathrin Viktoria Jaki, Technische Universität Darmstadt
Andreas Alexander Obermeier, University of Ulm
Andreas Schauer, University of Regensburg
Alexander Schiller, University of Regensburg

12:00 AM

12:00 AM

Unpacking Data Strategies - Conceptualization and Empirical Insights

Nick Kakuschke, Universität St.Gallen (HSG)
Christine Legner, HEC Lausanne

12:00 AM