Abstract
AbstractTraditionally, enterprise models have been used for representing knowledge on all aspects of an organization. This aided not only in composing a holistic picture of the different layers of an enterprise in terms of its business model, products and services, business processes and IT architecture, but also for describing the inter-dependencies between the layers. Depending on the degree of formalization, algorithms may be applied to the models, e.g. for simulations. With the upcoming of low-code approaches in software engineering, we regard in this position paper how similar concepts may be integrated in enterprise engineering. In particular we regard augmented enterprise models as interfaces to digital systems and illustrate this view with approaches for semantic technologies, data analytics and blockchain platforms. It is envisaged that such approaches will aid domain experts in integrating digital technologies in their daily work practices.KeywordsEnterprise modelingLow-code developmentDigital systems
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