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P172 - EMISA 2010 - Einflussfaktoren auf die Entwicklung flexibler, integrierter Informationssysteme

https://dl.gi.de/handle/20.500.12116/21075
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Auflistung P172 - EMISA 2010 - Einflussfaktoren auf die Entwicklung flexibler, integrierter Informationssysteme nach Autor:in "Fellmann, Michael"

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  • Konferenzbeitrag
    Towards dependency-based alignment for collaborative businesses
    (EMISA 2010. Einflussfaktoren auf die Entwicklung flexibler, integrierter Informationssysteme. Beiträge des Workshops der GI-Fachgruppe EMISA (Entwicklungsmethoden für Informationssysteme und deren Anwendung), 2010) Zarvić, Novica; Fellmann, Michael; Thomas, Oliver
    Collaborative Businesses are often interpreted as the new organisational form of the 21st century. Such organisational forms exist to satisfy complex needs, which one company could usually not satisfy on its own. This means that the participating companies in Collaborative Businesses are to a certain degree dependent on each other. From a business-IT alignment perspective, Collaborative Businesses require a different treatment than traditional organisational forms. The approach presented in this paper builds upon the aforementioned dependency aspect. We place the different inter-organisational dependencies, which are relevant in this context, into a layered alignment framework and discuss the conceivable alignment perspectives. Then we analyse the dependency impact on the life cycle phases of Collaborative Businesses. Finally, we exemplify how to operationally use our dependency-based alignment framework and how dependency-based alignment can be supported with Description Logics.
  • Konferenzbeitrag
    What's inside the box? Prospects and limitations of semantic verification in process modeling
    (EMISA 2010. Einflussfaktoren auf die Entwicklung flexibler, integrierter Informationssysteme. Beiträge des Workshops der GI-Fachgruppe EMISA (Entwicklungsmethoden für Informationssysteme und deren Anwendung), 2010) Fellmann, Michael; Hogrebe, Frank; Thomas, Oliver; Nüttgens, Markus
    Business process models support the optimization, reengineering and implementation of IT applications in administration and economics. In this area, models are important to manage complexity. In order to realize their full potential, the correctness of business process models is of significant importance. The paper applies an ontology-driven approach that aims at supporting semantic verification of process models. The approach is based on the formalization of the semantics of individual model elements by annotating them with concepts of a formal ontology. In order to ensure semantic correctness, semantic verification rules are introduced and it is demonstrated how machine reasoning provides for the automation of verification tasks. The approach is demonstrated using real-life process models taken from a capital city.