Publications

With our publications we cover the most diverse research areas that arise in the field of man, task and technology. In addition to traditional Business Information Systems topics such as knowledge management and business process management, you will also find articles on current topics such as blended learning, cloud computing or smart grids. Use this overview to get an impression of the range and possibilities of research in Business Information Systems at the University of Duisburg-Essen.

Type of Publication: Article in Collected Edition

Multi Agent Systems In The Lean Startup Cycle: Operationalising Dynamic Capabilities.

Author(s):
Jelinek, Elias; Rothe, Hannes
Title of Anthology:
Proceedings of the European Conference on Information Systems (ECIS)
Location(s):
Milan, Italy
Publication Date:
2026
Keywords:
Agentic AI, Multi-agent systems, Lean Startup, Dynamic capabilities, Design science research
Link to complete version:
https://aisel.aisnet.org/ecis2026/entmodel/entmodel/6/
Citation:
Download BibTeX

Abstract

Generative, agentic AI promises to accelerate venture learning, yet we lack concrete designs for embedding them into entrepreneurial experimentation. This design science study proposes a multi-agent artefact that operationalises the Build–Measure–Learn (B-M-L) cycle as a closed-loop control system. Drawing on the Dynamic Capabilities View, we derive fifteen meta-requirements and thirty-three design principles (consolidated into seven goal-directed groups) for sensing, seizing, reconfiguring, orchestration, and governance. We instantiate them in a Node.js package instrumenting a production-grade SaaS codebase. Controlled simulations compare agentic and manual B-M-L cycles on feature ideas. The Multi Agent System reduces time-to-validated-learning by roughly an order of magnitude while preserving statistical rigour, traceability, and nuanced Persevere/Iterate decisions. Logs render capabilities observable at the feature level, turning “agentic AI” into a disciplined experimentation infrastructure rather than a generic assistant. We discuss implications for IS design and future field evaluations.