Process models, e.g., BPMN models, may represent how companies in an ecosystem interact with each other. However, the business model of the same ecosystem, e.g., expressed by an e3value\documentclass[12pt]{minimal}
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\begin{document}$$e^{3}value$$\end{document} model, is often left implicit. This hinders the proper analysis of the ecosystem at the business level, and more specifically financial assessment, for which process models are less appropriate. Therefore, the question is if we can somehow derive e3value\documentclass[12pt]{minimal}
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\begin{document}$$e^{3}value$$\end{document} models from BPMN models. This would not only allow for proper business model analysis but would also facilitate business model mining, similar to the success of process mining. However, although an e3value\documentclass[12pt]{minimal}
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\begin{document}$$e^{3}value$$\end{document} model and BPMN model represent the same ecosystem, their perspectives differ significantly. Therefore an automated derivation of an e3value\documentclass[12pt]{minimal}
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\begin{document}$$e^{3}value$$\end{document} model from a BPMN seems not to be feasible, but we can assist the e3value\documentclass[12pt]{minimal}
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\begin{document}$$e^{3}value$$\end{document} model designer with practical guidelines. We explore and test our guidelines in two real-world settings, we then analyze and evaluate its application to better understand their limitations and how to improve them.
