Development of a Data-Driven Business Model Transformation Tool

  • Dominik Augenstein
  • Christian Fleig
  • Alexander Maedche
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10844)


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.


Business model Transformation Design science 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Dominik Augenstein
    • 1
  • Christian Fleig
    • 1
  • Alexander Maedche
    • 1
  1. 1.Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM)KarlsruheGermany

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