Dear colleagues,
We cordially invite you to contribute to the MIS Quarterly Executives Special Issue on "The Future of Artificial Intelligence in the Enterprise" (download the Call for Paper as pdf here).
As usual there will be a pre-conference workshop at the International Conference on Information Systems (ICIS) in Nashville.
** Submission deadline for the ICIS Pre-conference workshop: September 1st, 2025 **
Artificial Intelligence (AI) has moved from experimental to essential, with technologies like generative and agentic AI transforming the business landscape. However, while leading firms showcase AI's potential, many organizations still struggle to integrate it in ways that drive meaningful transformation and sustainable value.
This MISQE Special Issue seeks rigorous, practice-based research that explores how enterprises manage, scale, and realize value from AI. We invite submissions offering actionable insights and frameworks to help leaders navigate challenges related to governance, risk, skills, integration, and regulation.
We welcome work from academics, practitioners, and collaborative teams blending research and real-world experience. Authors are encouraged to submit abstracts to our workshop for early feedback before full paper submission. Suggested topics are provided, but we also welcome other relevant contributions focused on enterprise AI adoption.
Topics include (but are not limited to):
- Strategic value and economics of AI (e.g., transformative AI applications, measuring ROI/TCO, investment prioritization frameworks)
- AI governance and ethics (e.g., regulatory compliance, responsible AI practices, building trust in algorithmic decision-making)
- Enterprise risk management for AI (security implications, bias mitigation, business continuity considerations)
- Organizational transformation and workforce impact (e.g., evolving roles, required skills, cultural shifts, change management, trade-offs)
- Enterprise architecture implications of AI (e.g., platform building and integration)
- Scaling AI from pilots to enterprise-wide deployments (e.g., MLOps practices, infrastructure considerations, technical debt management)
- AI partner (ecosystem) management (e.g., vendor selection, make vs. buy decisions, collaborative/federated innovation models)
- Industry-specific AI applications (detailed case studies showcasing transformative implementations across sectors)
- Data strategy and management for AI (e.g., governance frameworks, quality assurance, accessibility vs. security trade-offs)
- The evolving role of IT leadership in AI adoption (CIO/CDO/CAIO relationships, structural changes, new decision models)
- Intellectual property considerations in AI development (retaining vs. commercializing IP, protecting AI-generated assets)
- Measuring and communicating AI impact (KPIs for AI initiatives, executive reporting frameworks, value narratives)
- Balancing AI innovation with operational stability (managing technological disruption, integration with legacy systems)
Download the full Call for Papers here
Workshop abstract submission deadline: September 1st, 2025
Submit an abstract of no more than two single-spaced pages of text and up to 2 figures. We will not count figures and references in the 2-page limit to benjamin.vangiffen@uni.li
Schedule:
- Notification of acceptance: October 15th, 2025
- Workshop location: ICIS 2025 pre-conference workshop in Nashville, United States
- Workshop date: Saturday, December 13th, 2025
Full paper submission deadline: March 1st, 2026
Please submit your full papers here: https://mc.manuscriptcentral.com/misqe
Schedule:
- Review: May 1st, 2026
- Resubmission: July 1st, 2026
- Review, Decision, Suggestion: August 1st, 2026
- Final submission: October 1st, 2026
For questions or additional information, please contact any of the editors:
Benjamin van Giffen, University of Liechtenstein, benjamin.vangiffen@uni.li
Helmuth Ludwig, Southern Methodist University, hludwig@smu.edu
Hope Koch, Baylor University, hope_koch@baylor.edu
Martin Mocker, Reutlingen University & MIT Sloan Center for Information Systems Research, mmocker@mit.edu
We look forward to your contribution and to engaging discussions about the future of AI in the Enterprise!
Best regards,
Benjamin van Giffen, Helmuth Ludwig, Hope Koch, Martin Mocker
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Assoc. Prof. Dr. Benjamin van Giffen
Associate Professor for Information Systems & Digital Innovation
University of Liechtenstein
Fürst-Franz-Josef-Strasse, 9490 Vaduz, Liechtenstein
Phone +423 265 1119 | benjamin.vangiffen@uni.li" data-auth="NotApplicable" target="_blank" rel="noopener">benjamin.vangiffen@uni.li, www.uni.li
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Franziska Roeckel
University of Liechtenstein
Vaduz
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