We invite IS scholars to engage with fundamental questions of the nature and purpose of IS research and theory, to critically reflect on methodological developments and philosophical underpinnings, and to envisage advances that would inspire future scholarly endeavors. As a fundamentally interdisciplinary field focused on digital technologies, IS research is particularly well-suited to both (1) thinking about philosophical, particularly epistemological, issues around digital phenomena from a variety of perspectives, and (2) novel methods and approaches, including those driven by AI and machine learning, that are emerging to explore and analyze these phenomena. With the rapid advancement of AI and its integration into various aspects of society and technology, we invite scholars to explore how AI is transforming the field of IS, both in terms of research methodologies and the philosophical underpinnings of the discipline.

Track Chairs;
Alexander Richter, Wellington School of Business and Government
Ulrike Schultze, University of Groningen (UG)
Aron Lindberg, Stevens Institute of Technology

Schedule
2026
Monday, December 14th
12:00 AM

A New Conceptual Paradigm for Narrowing the IS Research-Practice Gap

Nik Rushdi Hassan, University of Minnesota Duluth
Antony Bryant, Leeds Beckett University

12:00 AM

Advancing Literature Review Automation through API-Based Searches: Design of an Independent Emulator

Anna Geßler, University of Bamberg
Karl Schnickmann, University of Bamberg
Gerit Wagner, Frankfurt School

12:00 AM

Agentic AI and the Reconfiguration of Methodological Risk in Qualitative Research

Moein Beheshti, The University of Queensland
Saeed Akhlaghpour, The University of Queensland

12:00 AM

Attending to Systems: Matters of Care in Information Systems Research

Rick Sullivan, HEC Montréal
Mylène Struijk, University of Sydney

12:00 AM

Beyond Fit: An Organizational Flux Theory of AI Governance

Daniel Zantedeschi, University of South Florida
Anol Bhattacherjee, University of South Florida

12:00 AM

Conducting Rigorous AI-Led Interviews in Qualitative IS Research – Practical Advice

Kimberley Pawlowski, University of Göttingen
Leonie Schulenburg, University of Göttingen
Laura Madeleine Detels, University of Göttingen

12:00 AM

Configurational Meta-Analysis: A Set-Theoretic Approach to Cross-Study Evidence Synthesis in Information Systems

Paulo Mattos, Higher Colleges of Technolgy
Winnie Picoto, ISEG (Lisbon School of Economics and Management) Universidade de Lisboa
Cristiane Pedron, Nove de Julho University

12:00 AM

Designing Multimodal Conversational Agents for Laddering Interviews

Leon Hanschmann, Karlsruhe Institute of Technology
Juuli Lumivalo, University of Jyväskylä
Tuure Tuunanen, University of Jyväskylä
Alexander Maedche, Karlsruhe Institute of Technology (KIT)

12:00 AM

Fit for What Purpose?

Shenoli Perera, The University of Sydney Business School
Sebastian Boell, The University of Sydney Business School
Wynne W. Chin, The University of Houston

12:00 AM

From Design Insights to Design Knowledge: A Taxonomy for Structuring the Development of Design Principles

Christine Jokisch, University of Goettingen
Bijan Khosrawi-Rad, Leuphana University
Enes Kara, TU Braunschweig
Matthias Schumann, University of Goettingen

12:00 AM

LLM Uncertainty in Strategic Decisions

Arnau Bueno Tricas, ESADE Business School
Angelo Romasanta, ESADE Business School
Jose A. Rodriguez-Serrano, Universitat Ramon Llull Esade

12:00 AM

Mechanismic items in survey research: conceptualization and concerns about their use

Dario Bonaretti, NEOMA Business School
Diana Fischer-Preßler, Frankfurt University of Applied Sciences

12:00 AM

Revisiting Digital Government and Digital Democracy: Theorizing Digitalization Beyond Government Efficiency

Jasper Büll, FZI Research Center for Information Technology
Jonas Fegert, KIT Karlsruhe Institute of Technology

12:00 AM

The Methodological Black Box of LLM-Assisted Topic Modeling

Carlotta Cochis, University of Modena and Reggio Emilia

12:00 AM

Toward Knowledge-Traceable AI-Assisted Design Science: A Prompt-Code-Reflection Traceability Method Artifact

Weixin Wang, Friedrich-Alexander-Universität Erlangen-Nürnberg

12:00 AM

What Kind of AI? Introducing Three Material Properties of AI Systems

Frederik Larsen, Aalborg University
Magnus Rahbæk Finderup Andersen, Aalborg University
Pernille Berg Lassen, Aalborg University

12:00 AM

What Makes One Mechanism More Plausible Than Another? A Critical Realist Framework for Causal Adjudications

Katiso Molati, University of Cape Town
Dirk Snyman, University of Cape Town
Wallace Chigona, University of Cape Town

12:00 AM

What Management Scholarship Brings to the IS Debate on AI-Augmented Literature Reviews: An Epistemic Contribution

Florence Laval, Université de Poitiers/Laboratoire CEREGE
Théophile Ossard, Université Jean Moulin Lyon 3
Christophe Fournier, Université de Montpellier

12:00 AM