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Auflistung nach Autor:in "Jussen,Ilka"

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  • Textdokument
    Design Options for Data-Driven Business Models in Data-Ecosystems
    (INFORMATIK 2022, 2022) Schweihoff,Julia Christina; Jussen,Ilka; Stachon,Maleen; Möller,Frederik
    Data has fundamentally changed the way companies cooperate. Traditional strategies of companies require to be rethought, revisioned, and reimagined based on the new environment of the data economy. Data as a key resource opens up new opportunities that companies need to leverage in data-driven business models (DDBM). Instead of acting in a vacuum, working together and creating value conjointly in an ecosystem based on data is paramount to success. Although DDBMs and ecosystems are not new, per se, there has been a lack of an overarching view of how many DDBMs interact in the context of ecosystems. The paper starts at this point as it develops a taxonomy of these business models in ecosystems. Thus, it contributes to helping researchers and practitioners understand the specifics of data-driven business models working in ecosystems.
  • Textdokument
    Designing a Data Sharing Tool Kit - Showing companies how to start using Data Sharing
    (INFORMATIK 2022, 2022) Jussen,Ilka; Schweihoff,Julia Christina; Stachon,Maleen; Möller,Frederik
    Sharing data is essential to the success of modern data-driven business models. They play a crucial role for companies in creating new and better services and optimizing existing processes. While the interest in data sharing is growing, companies face an array of challenges preventing them from fully exploiting data sharing opportunities. Mitigating these risks and weighing them against their potential is a creative, interdisciplinary task in each company. The paper starts precisely at this point and proposes a Tool Kit with three Visual Inquiry Tool (VIT) to work on finding data sharing potential conjointly. We do this using a design-oriented research approach and contribute to research and practice by providing three VITs that help different stakeholders or companies in an ecosystem to visualize and design their data-sharing activities.