Peter, MarcoMontecchiari, DevidHinkelmann, KnutGatziu Grivas, StellaGrabis, JānisBork, Dominik2024-04-042024-04-042020978-3-030-63478-0978-3-030-63479-7https://doi.org/10.1007/978-3-030-63479-7_17https://irf.fhnw.ch/handle/11654/42804The goal of this paper is to demonstrate the feasibility of combining visualization and reasoning for business model design by combining the machine-interpretability of ontologies with a further development of the widely accepted business modeling tool, the Business Model Canvas (BMC). Since ontologies are a machine-interpretable representation of enterprise knowledge and thus, not very adequate for human interpretation, we present a tool that combines the graphical and human interpretable representation of BMC with a business model ontology. The tool connects a business model with reusable data and interoperability to other intelligent business information systems so that additional functionalities are made possible, such as a comparison between business models. This research follows the design science strategy with a qualitative approach by applying literature research, expert interviews, and desk research. The developed AOAME4BMC tool consists of the frontend, a graphical web-based representation of an enhanced BMC, a web service for the data exchange with the backend, and a speci c ontology for the machine-interpretable representation of a business model. The results suggest that the developed tool AOAME4BMC supports the suitability of an ontology-based representation for business model design.en330 - Wirtschaft04B - Beitrag Konferenzschrift244-258