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Ontology-Based Visualization for Business Model Design

Abstract : The 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 specific 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.
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https://hal.inria.fr/hal-03434645
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Submitted on : Thursday, November 18, 2021 - 1:38:22 PM
Last modification on : Monday, November 28, 2022 - 5:40:05 PM
Long-term archiving on: : Saturday, February 19, 2022 - 7:02:38 PM

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Distributed under a Creative Commons Attribution 4.0 International License

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Marco Peter, Devid Montecchiari, Knut Hinkelmann, Stella Gatziu Grivas. Ontology-Based Visualization for Business Model Design. 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2020), Nov 2020, Riga, Latvia. pp.244-258, ⟨10.1007/978-3-030-63479-7_17⟩. ⟨hal-03434645⟩

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