Keywords: Digital Transformation
Astract: We posit that AI-Enabled Enterprise is the next phase of digital transformations seen so far. We will start by defining more precisely what we mean by digital transformation and argue that it’s important to ensure these transformations are well-coordinated. We posit this coordination should be seen as a continuous process and take a model-enabled perspective on it. In doing so, we will argue for the need to identify (and manage) so-called enterprise design dialogues, where enterprise models are positioned as a key artefact in support of these enterprise design dialogues. Before concluding, we also review some of the challenges and opportunities towards future research.

Keywords: Enterprise architecture, GEA method, Enterprise transformations
Astract: General Enterprise Architecting (GEA) is an enterprise architecture method which has emerged out of a need in practice, and has been developed and matured over the past 15 years. The GEA method differs from other enterprise architecture approaches in that it has a strong focus on enterprise coherence and the explicit governance thereof. This focus followed from the observed need to move beyond the Business-IT alignment and ‘Business-to-IT’ stack thinking that is embodied in most of the existing enterprise architecture approaches. The main objective of this paper is to report, and reflect on, the development of the GEA method (so-far), which involved a co-evolution between theory and practice. In doing so, we also present core elements of (the current version of) GEA, and illustrate these in terms of a real-world (social housing) case. We will, furthermore, also discuss some of the lessons learned in applying GEA across different organizations.

Keywords: DEMO, Enterprise ontology, Low code, MBE, Mendix
Astract: Due to factors such as hyper-competition, increasing expectations from customers, regulatory changes, and technological advancements, the conditions in which enterprises need to thrive become increasingly turbulent. As a result, enterprise agility, or flexibility, becomes an increasingly important determinant for enterprise success. Since Information System (IS) development often is a limiting factor in achieving enterprise flexibility, enterprise flexibility and (automated) IS flexibility cannot be viewed separately and choices that regard flexibility should not be left to developers. By taking a Model-based Engineering (MBE) approach, starting from ontological models of the enterprise and explicit organization design decisions, we bridge the gap from organizational flexibility to (automated) IS flexibility, in such a way that IT is no longer the limiting factor for enterprise flexibility. Low-code technology is a growing market trend that builds on MBE concepts. In this paper, we report on an mapping for (the automation of) the creation of a Mendix low-code application from the ontological model of an enterprise, while also accommodating the required organizational implementation flexibility. Even though the algorithm has been tested successfully on multiple cases, supporting all possible organizational flexibility seems to be an NP -hard problem, and more research is required to check the feasibility and usability of this approach.

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Astract: This paper is concerned with the question of how novel digital technologies can be used to enable IT governance to better deal with the need for more agility, flexibility, adaptivity, and connectivity, as brought about by our modern day society. We propose to digitally transform IT governance, in particular making it smart(er) by following a data-driven approach. In line with this, we present a vision for digitally transformed IT governance in the form of the DT4GITM (Digital Twin for Governed IT Management) framework, which exploits the Digital Twin concept as it is already used in other fields to monitor, analyze, simulate, and predict the performance of real-world assets. The purpose of the DT4GITM framework is to serve as a reference architecture for a technological infrastructure based on the Digital Twin concept that connects three interrelated systems - the IT governance processes, the governed IT management processes, and the managed organizational IT assets.

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Astract: The Digital Transformation of our society requires IT infrastructures to be more agile, more adaptive, and more connected than ever. At the same time, the owners of such infrastructures are confronted with an increase in regulatory pressure (e.g., the GDPR). These developments put a lot of stress on IT management and governance. To enable IT management and governance to better deal with these challenges, we propose to digitally transform IT governance and management itself by using a Digital Twin based approach. In line with this, we aim to create on ontology-driven Digital Twin for Governed IT Management (DT4GITM) framework. The goal of this framework is to act as a reference architecture for a Digital Twin based infrastructure that connects three interrelated systems: the IT governance processes, the governed IT management processes, and the managed organizational IT assets. The core of the framework involves a generic Governed IT Management (GITM) Domain Ontology, which is planned to be operationalized by a Knowledge Graph based approach that realizes an integrated view on the heterogenous data streams originating from the IT governance and management processes, and the managed IT assets. In this paper, we start by outlining the planned DT4GITM framework and the pivotal role of the GITM Domain Ontology within this. We then elaborate our incremental, and scenario- and case-driven strategy towards the development of the framework as a whole, and the GITM Domain Ontology in particular. This is followed by the elaboration of a specific DT4GITM scenario which serves as a first proof of principle.