Development of a Data-Driven Business Model Transformation Tool View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Dominik Augenstein , Christian Fleig , Alexander Maedche

ABSTRACT

Rapidly changing environments and customer demands force companies to transform their business models in ever shorter periods of time. However, existing approaches like the business model canvas and corresponding tools mainly focus on documentation on a strategic level and do not actively support the business model transformation process from a current state towards a target state. To address this problem, we derive requirements for a business model transformation tool. We translate these requirements into design principles and present a toolset for data-driven business model transformation. This toolset enables companies to extract status quo business models from existing operational information systems. Furthermore, it allows the representation of explicit relationships between the different value dimensions of a business model and enables quantifying the impact of changes. The result of this paper is a set of requirements, design principles as well as a tool instantiation, which can actively support the business model transformation process. More... »

PAGES

205-217

References to SciGraph publications

  • 2014-02. Business Models in BUSINESS & INFORMATION SYSTEMS ENGINEERING
  • 2014. Use Case Production: Von CIM über Lean Production zu Industrie 4.0 in INDUSTRIE 4.0 IN PRODUKTION, AUTOMATISIERUNG UND LOGISTIK
  • 2014. Wandlungsfähige Produktionssysteme für den Automobilbau der Zukunft in INDUSTRIE 4.0 IN PRODUKTION, AUTOMATISIERUNG UND LOGISTIK
  • 2003-07. Value-based requirements engineering: exploring innovative e-commerce ideas in REQUIREMENTS ENGINEERING
  • Book

    TITLE

    Designing for a Digital and Globalized World

    ISBN

    978-3-319-91799-3
    978-3-319-91800-6

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-91800-6_14

    DOI

    http://dx.doi.org/10.1007/978-3-319-91800-6_14

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1104043293


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