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Auflistung nach Autor:in "Krogstie, John"

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  • Zeitschriftenartikel
    Capturing Enterprise Data Integration Challenges Using a Semiotic Data Quality Framework
    (Business & Information Systems Engineering: Vol. 57, No. 1, 2015) Krogstie, John
    Enterprises have a large amount of data available, represented in different formats normally accessible for different specialists through different tools. Integrating existing data, also those from more informal sources, can have great business value when used together as discussed for instance in connection to big data. On the other hand, the level of integration and exploitation will depend both on the data quality of the sources to be integrated, and on how data quality of the different sources matches. Whereas data quality frameworks often consist of unstructured list of characteristics, here a framework is used which has been traditionally applied for enterprise and business model quality, with the data quality characteristics structured relative to semiotic levels, which makes it easier to compare aspects in order to find opportunities and challenges for data integration. A case study presenting the practical application of the framework illustrates the usefulness of the approach for this purpose. This approach reveals opportunities, but also challenges when trying to integrate data from different data sources typically used by people in different roles in an organization.
  • Zeitschriftenartikel
    From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling
    (Business & Information Systems Engineering: Vol. 60, No. 1, 2018) Sandkuhl, Kurt; Fill, Hans-Georg; Hoppenbrouwers, Stijn; Krogstie, John; Matthes, Florian; Opdahl, Andreas; Schwabe, Gerhard; Uludag, Ömer; Winter, Robert
    The benefits of enterprise modeling (EM) and its contribution to organizational tasks are largely undisputed in business and information systems engineering. EM as a discipline has been around for several decades but is typically performed by a limited number of people in organizations with an affinity to modeling. What is captured in models is only a fragment of what ought to be captured. Thus, this research note argues that EM is far from its maximum potential. Many people develop some kind of model in their local practice without thinking about it consciously. Exploiting the potential of this “grass roots modeling� could lead to groundbreaking innovations. The aim is to investigate integration of the established practices of modeling with local practices of creating and using model-like artifacts of relevance for the overall organization. The paper develops a vision for extending the reach of EM, identifies research areas contributing to the vision and proposes elements of a future research agenda.
  • Zeitschriftenartikel
    Geschäftsprozessmanagement im Großen
    (Wirtschaftsinformatik: Vol. 53, No. 6, 2011) Houy, Constantin; Fettke, Peter; Loos, Peter; Aalst, Wil M. P.; Krogstie, John
  • Konferenzbeitrag
    The role of modeling in future innovative business and community information systems
    (12th International Conference on Innovative Internet Community Services (I2CS 2012), 2012) Krogstie, John
    Future internet systems have a number of properties supporting new innovative business and community systems. Event-driven architectures (EDA) providing varied information to support collaborative decision-making enable more decisions to be made closer to the problem owner. The 'Internet of Things' (IoT) enables the Internet to reach out into the real world of physical objects. Mobile and collaborative applications and services utilizing information processing and process support enabled by sensor data from a vast numbers of connected and cheap devices and directly and indirectly from humans in control of these devices will change a number of markets. Future innovative business and community information systems will need to take this situation into account, addressing technological, methodological and conceptual challenges. This paper will focus on the latter, discussing in particular the potential role of model-based techniques and how to assess and improve the quality of models and modelling approaches in this setting using the SEQUAL framework.