Keywords: ArchiMate, value co-creation
Astract: The design and engineering of collaborative networks and business ecosystems is a discipline that requires an outstanding and upfront attention of the value cogenerated among the parties involved in the business exchanges of these networks. Understanding this value co-creation is undoubtedly paramount, first to adequately sustain the design and the development of the information system that brings about this value, second, to support the communication between the information system designers, and third to allow discovering new co-creation opportunities among the networks companies. In that context, we proposed an abstract language (meta-model) that structures, and provides an explanatory semantics to, the co-creation of value between information system designers, allowing a better definition of the collaboration and of each one of the value propositions. The design of this language is achieved in the frame of the design science theory and accordingly follows an iterative improvement approach based on real case studies from practitioners. This chapter introduces the second iteration of the language based on a real case in a smart airport network.

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.

Keywords:
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.