The General IS Topics track is intended for high-quality papers on topics that do not have a specific fit with other tracks or have a very comprehensive, cross-thematic scope. The track aims to attract unique and novel papers and give an additional degree of freedom to the conference’s specific tracks, from an epistemological, ontological as well as methodological standpoint. Papers on cutting edge technologies (e.g., quantum) that have varied implications that go beyond the confines of other tracks could also be relevant for this track. Please check the fit of your paper with other tracks’ topics before submitting your paper to this track. We welcome submissions on AI and related topics to the extent that those are also not more closely related to other track domains. The General IS Topics track also provides the chairs of other tracks the opportunity to submit their manuscripts.

Track Chairs:
Miguel I. Aguirre-Urreta, Florida International University
Andreas Eckhardt, University of Innsbruck
Fiona Fui-Hoon Nah, Singapore Management University

Schedule
2026
Monday, December 14th
12:00 AM

Beyond Accurate Estimates: Planning Poker as Expertise Coordination in Agile Software Development

Nikolaus Obwegeser, Bern University of Applied Sciences
Anna Wiedemann, Institute of Digital Technology Management

12:00 AM

Beyond Emotional Tracking: Theorizing How Personal Informatics Shape Emotional Awareness

Agustina Himawan, University of Auckland
Randy Wong, University of Auckland

12:00 AM

Beyond the IS Boundary: Article-Level Signals and the Diffusion of Premier IS Scholarship

Vartul Shrivastava, Indian Institute of Management Bangalore
Shankhadeep Banerjee, Indian Institute of Management Bangalore

12:00 AM

Frugal Analytics: Concept, Framework, and Guidelines for Resource-Constrained Organizations

Mazen Shawosh, King Fahd University of Petroleum & Minerals

12:00 AM

Global Discourses: Divergent Construction of Digital Sovereignty

Eileen Feind, University Kassel
Mahei Manhai Li, University of St. Gallen
Andreas Janson, Institute of Information Systems and Digital Business
Jan Marco Leimeister, University of St.Gallen

12:00 AM

IT Disclosure Similarity and IPO Underpricing: A Benchmarking Perspective

Kai Yang, University of Massachusetts Boston
Kui Du, University of Massachusetts - Boston

12:00 AM

Large Language Models Can Explain Experts Better Than Experts Themselves

Mina Cho, University of Minnesota
Russell Funk, University of Minnesota
Alok Gupta, university of minnesota
Mochen Yang, University of Minnesota

12:00 AM

Recombination or New Methods: What Actually Drives State-of-the-Art Progress in AI Research

Dylan Junluo Chen, City University of Hong Kong
Ben Liu, City University of Hong Kong

12:00 AM

Stagnation in Digital Innovation: A Multi-Layered Ecosystem Analysis of the Metaverse

Henrik Pohsner, University of Kassel
Cornelius Reh, University of Kassel
André Hanelt, University of Kassel

12:00 AM

The Signal or the Noise? AI Claims, Specificity, and Venture Financing Performance

Jinglei Chang, Sun Yat-sen University
Qi Wang, City University of Hong Kong
Xuanqi Liu, Business School of Hunan University

12:00 AM