Abstract
Adopting blockchain technologies in organizations has multiple implications for business models. To make adoption successful, both the business as well as the technical perspectives must be carefully aligned. However, understanding the impact of the technological changes on business models is a challenge due to the technological complexity, the lack of knowledge in the organization, and regulatory requirements. Further, domain-specific modeling methods that inherently deal with blockchain concepts in business models are currently missing. To address this gap, we present an extension of the \({e}^{3} value\) modeling method to depict blockchain-specific aspects in value networks, including the automatic inference of transparency based on blockchain usage and configuration. The extended modeling method was implemented on the ADOxx metamodeling platform and applied to three exemplary use cases for a first evaluation.
This research was partially funded by the Swiss National Science Foundation [196889].
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Notes
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See for example the one by Hilti: https://www.hilti.com/content/hilti/W1/US/en/business/business/equipment/fleet/tools-on-demand.html.
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Curty, S., Fill, HG. (2024). A Domain-Specific e3value Extension for Analyzing Blockchain-Based Value Networks. In: Almeida, J.P.A., Kaczmarek-Heß, M., Koschmider, A., Proper, H.A. (eds) The Practice of Enterprise Modeling. PoEM 2023. Lecture Notes in Business Information Processing, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-031-48583-1_5
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