Enterprise Modelling in the Age of Digital Transformation - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Enterprise Modelling in the Age of Digital Transformation

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Abstract

The digital transformation forces enterprises to change. In addition, the notion of economic exchange, core to the economy, has shifted from following a goods-dominant logic to a service-dominant logic, putting the focus on continuous value co-creation between providers and consumers. These trends drive enterprises to transform continuously.During enterprise transformations, coordination among the stakeholders involved is key. Shared understanding, agreement, and commitment, is needed on topics such as: the overall strategy of the enterprise, the current affairs of the enterprise and its context, as well as the ideal future affairs.Models, and ultimately enterprise modelling languages and frameworks, are generally seen as an effective way to enable such (informed) coordination. To this end, different languages and frameworks have been developed, including ArchiMate.ArchiMate, which has evolved to become a widely accepted industry standard, was developed at a time where the digital transformation was not yet that noticeable. At that the time, the focus was more on consolidation and optimisation. As such, it is logical to expect that the existing ArchiMate language may require some “updates” to be ready for digital transformations. The objective of this paper is therefore threefold: (1) posit, based on practical experiences and insights, key challenges which the digital transformation puts on enterprise (architecture) modelling languages, (2) assess to what extent ArchiMate meets these challenges, and (3) provide suggestions on how to possibly improve ArchiMate to better meet these challenges.
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Dates and versions

hal-02156472 , version 1 (14-06-2019)

Licence

Attribution - CC BY 4.0

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Bas van Gils, Henderik A. Proper. Enterprise Modelling in the Age of Digital Transformation. 11th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Oct 2018, Vienna, Austria. pp.257-273, ⟨10.1007/978-3-030-02302-7_16⟩. ⟨hal-02156472⟩
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