1,721,187 research outputs found
An Enterprise Coherence Quantification Framework for General Enterprise Architecting
No full textEnterprise coherence pertains to the extent to which all relevant aspects of an enterprise are connected in such a way that these connections facilitate an enterprise in obtaining/meeting its desired results. The GEA (General Enterprise Architecting) method treats enterprise coherence as something that can be governed explicitly. GEA’s Enterprise Coherence Framework (ECF) is qualitative in nature. Being able to really measure enterprise coherence would greatly support the analysis of enterprise coherence. In this paper we setup a research approach for developing enterprise coherence metrics and perform a first step in working towards an Enterprise Coherence Quantification Framework (ECQF) as part of a methodology. A case from GEA training practice is used for validation of a first application of the ECQF
Next-Generation Enterprise Modeling
No full textIn 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
Coordinated Continuous Digital Transformation
No full textWe 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
Flexible Enterprise Optimization with Constraint Programming
No full textSimulation–optimization is often used in enterprise decision-making processes, both operational and tactical. This paper shows how an intuitive mapping from descriptive problem to optimization model can be realized with Constraint Programming (CP). It shows how a CP model can be constructed given a simulation model and a set of business goals. The approach is to train a neural network (NN) on simulation model inputs and outputs, and embed the NN into the CP model together with a set of soft constraints that represent business goals. We study this novel simulation–optimization approach through a set of experiments, finding that it is flexible to changing multiple objectives simultaneously, allows an intuitive mapping from business goals expressed in natural language to a formal model suitable for state-of-the-art optimization solvers, and is realizable for diverse managerial problems.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Electrical Engineering, Mathematics and Computer ScienceAlgorithmic
ArchiMate Extension to Value Co-creation: The Smart Airport Case Study
No full textThe 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
Data management:Relational vs blockchain databases
Get PDFThis paper presents an initial exploitative study of how the relational and blockchain databases compare in defining and deploying data structures, populating these with new entries, and retrieving the relevant data for further use. The aim of this study is to better inform the software developers in general and the distributed application developers in particular
Towards an integrative component framework for business models: identifying the common elements between the current business model views
Get PDFThe business model literature has surged since the beginning of this millennium, but is currently characterized by a lack of shared understanding of the concept. This lack of consensus inhibits the effective use of business models for achieving business-IT alignment, which includes both formulating the appropriate information system (IS) requirements and using information systems as strategic resources to differentiate business models. To overcome this, the paper proposes an integrative framework, which builds on existing integration efforts in the field. This will allow the initiation of a convergent thinking phase about the business model concept. The research will make use of the Systematic Literature Review (SLR) methodology to rigorously select the relevant research papers
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