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Postprint
DOI: 10.5445/IR/1000083115
Frei zugänglich ab 01.07.2019
Originalveröffentlichung
DOI: 10.1007/978-3-319-91800-6_14

Development of a data-driven business model transformation tool

Augenstein, Dominik; Fleig, Christian; Mädche, Alexander

Abstract (englisch):
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.


Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Jahr 2018
Sprache Englisch
Identifikator ISBN: 978-3-319-91799-3
ISSN: 0302-9743
URN: urn:nbn:de:swb:90-831155
KITopen ID: 1000083115
Erschienen in Designing for a Digital and Globalized World: 13th International Conference, DESRIST 2018, Chennai, IND, June 3-6, 2018, Proceedings. Ed.: S. Chatterjee
Verlag Springer International Publishing AG, Cham, CH
Seiten 205-217
Serie Lecture notes in computer science ; 10844
Schlagworte Business Model, Transformation, Design science
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