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Design Guidelines to Derive an \(e ^{3}{} value \) Business Model from a BPMN Process Model in the Financial Securities Sector

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The Practice of Enterprise Modeling (PoEM 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 432))

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Abstract

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 \(e ^{3}{} value \) 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 \(e ^{3}{} value \) 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 \(e ^{3}{} value \) model and BPMN model represent the same ecosystem, their perspectives differ significantly. Therefore an automated derivation of an \(e ^{3}{} value \) model from a BPMN seems not to be feasible, but we can assist the \(e ^{3}{} value \) model designer with practical guidelines. We illustrate our guidelines by means of a case study about financial securities trading.

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Acknowledgements

The authors are thankful to Menno Broos, Ellen Naudts and Timothy Aerts, affiliated with the De Nederlandsche Bank (DNB), for explaining us how financial securities trading works, and for validating the models we have created. We also extend our thanks to Felix Fueyo for his help with the designed BPMN model.

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Correspondence to Isaac da Silva Torres .

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da Silva Torres, I., Fantinato, M., Branco, G.M., Gordijn, J. (2021). Design Guidelines to Derive an \(e ^{3}{} value \) Business Model from a BPMN Process Model in the Financial Securities Sector. In: Serral, E., Stirna, J., Ralyté, J., Grabis, J. (eds) The Practice of Enterprise Modeling. PoEM 2021. Lecture Notes in Business Information Processing, vol 432. Springer, Cham. https://doi.org/10.1007/978-3-030-91279-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-91279-6_11

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