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    Towards Extending BPMN with the Knowledge Dimension

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    Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Technische Universität Ilmenau, 09. - 11. März 2016; Band II

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    Übersicht der Teilkonferenzen Band II • eHealth as a Service – Innovationen für Prävention, Versorgung und Forschung • Einsatz von Unternehmenssoftware in der Lehre • Energieinformatik, Erneuerbare Energien und Neue Mobilität • Hedonische Informationssysteme • IKT-gestütztes betriebliches Umwelt- und Nachhaltigkeitsmanagement • Informationssysteme in der Finanzwirtschaft • IT- und Software-Produktmanagement in Internet-of-Things-basierten Infrastrukturen • IT-Beratung im Kontext digitaler Transformation • IT-Sicherheit für Kritische Infrastrukturen • Modellierung betrieblicher Informationssysteme – Konzeptuelle Modelle im Zeitalter der digitalisierten Wirtschaft (d!conomy) • Prescriptive Analytics in I

    Towards Extending BPMN with the Knowledge Dimension

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    At the root of the success of modeling, design, reengineering, and running business processes is effective use and support of organizational knowledge. Therefore, the relationships between a business process and organizational knowledge should be clearly documented. Several methods have already been elaborated that introduce the process dimension into knowledge management or a knowledge concept into business process modeling. However, the usability of these methods is restricted either by applicability only to knowledge-intensive processes or by relying on sophisticated or uncommon modeling techniques. Building on the experience accumulated by researchers working at the intersection of business process modeling and knowledge management, this paper proposes to extend the well-known Business Process Modeling Notation with the knowledge dimension so that using a common modeling technique it would be possible to relate different forms of knowledge, information and data to the business process model. The approach is demonstrated by a case study from a data base integration project at the Bioinformatics Company
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