248 research outputs found

    Next-Generation Enterprise Modeling

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    In the Western world, digital has become the new normal, both in our daily lives and at our work. Additionally, Western countries have seen a transition from a goods-oriented economy to a services-oriented economy. Whereas, in the recent past, it was already the case that change was the only constant, these intertwined, and mutually amplifying, trends even further increase the pace of change. As a result, enterprises are confronted with a need to transform (continuously) accordingly. During any enterprise transformation, coordination among the key stakeholders and the projects that drive the transformations is essential. A shared understanding, agreement, and commitment are needed on (1) what the overall mission/vision of the enterprise is, (2) the current affairs of the enterprise and any ongoing changes, (3) the current affairs of the context of the enterprise, and (4) what (given the latter) the ideal future affairs of the enterprise are. Models, and ultimately enterprise (architecture) modeling languages and framework, are generally considered as an effective way to support such (informed) coordination. In the past, different frameworks and languages have been developed to this end, including the ArchiMate language. The latter has evolved to become a widely accepted industry standard. The objective of this chapter is threefold: (1) we intend to illustrate some of the key challenges which the digital transformation, and the two intertwined trends that drive it, puts on enterprise (architecture) modeling languages, (2) assess to what extent ArchiMate meets these challenges, and (3) draft the outline of a next-generation enterprise (architecture) modeling language (framework) that may be more suited to meet the challenges of these trends

    Data management

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    IT Architecture Principles:Foundation for Digital Transformation?

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    Information systems are a vital part of the digital enterprise, and implementation of information systems plays an important role in digital transformation. The core hypothesis of our research is that one of the success factors of information systems implementation is the use of IT architecture principles. In this chapter, we describe the results of our empirical research to validate a measurement instrument measuring IT architecture principles, starting from a hypothesis that IT architecture principles contribute to the implementation of the IS requirements. We describe the results of four case studies at the Dutch Tax and Customs Administration: how can we define, describe, and measure IT architecture principles, with the focus on practical application and quantitative comparability?

    Using Models for Building Strong Organizations

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    Strategy and Architecture – Reconciling Worldviews

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    Enterprise Modelling in the Age of Digital Transformation

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    Part 6: Experience ReportsInternational audienceThe 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

    Towards sustainable digital transformation

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    The following topics are dealt with: business data processing; organisational aspects; learning (artificial intelligence); Internet of Things; ontologies (artificial intelligence); graph theory; data mining; project management; data handling; and text analysis

    Coordinated Continuous Digital Transformation

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    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

    Enterprise Modelling in the Age of Digital Transformation

    No full text
    Part 6: Experience ReportsInternational audienceThe 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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