%0 Conference Paper %1 conf/desrist/AugensteinFM18 %A Augenstein, Dominik %A Fleig, Christian %A Maedche, Alexander %B International Conference on Design Science Research in Information Systems and Technology (DESRIST 2018) %D 2018 %E Chatterjee, Samir %E Dutta, Kaushik %E Sundarraj, Rangaraja P. %I Springer %K positioning product.strategy %P 205-217 %T Development of a Data-Driven Business Model Transformation Tool. %U https://link.springer.com/chapter/10.1007/978-3-319-91800-6_14 %V 10844 %X 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. %@ 978-3-319-91800-6

@inproceedings{conf/desrist/AugensteinFM18, 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.}, added-at = {2018-09-24T15:14:37.000+0200}, author = {Augenstein, Dominik and Fleig, Christian and Maedche, Alexander}, biburl = {https://www.bibsonomy.org/bibtex/211d97e6148a7b9ca0a878387cd2493a7/ispma}, booktitle = {International Conference on Design Science Research in Information Systems and Technology (DESRIST 2018)}, crossref = {conf/desrist/2018}, editor = {Chatterjee, Samir and Dutta, Kaushik and Sundarraj, Rangaraja P.}, ee = {https://doi.org/10.1007/978-3-319-91800-6_14}, interhash = {8c9254b77a2f189cef9f29c07c2f36a0}, intrahash = {11d97e6148a7b9ca0a878387cd2493a7}, isbn = {978-3-319-91800-6}, keywords = {positioning product.strategy}, pages = {205-217}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2018-09-24T15:15:27.000+0200}, title = {Development of a Data-Driven Business Model Transformation Tool.}, url = {https://link.springer.com/chapter/10.1007/978-3-319-91800-6_14}, volume = 10844, year = 2018 }