Förster M, Bansemir B, Roth A (2019)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2019
Pages Range: 1753-1767
Event location: Siegen, Germany
Data have become a key ingredient for ICT-enabled
business models. Nevertheless, there is great uncertainty among scholars and
practitioners alike about how to leverage data as an essential innovation
resource. This raises the question of how to design data roles to innovate
business models. To answer this question and to facilitate a deeper,
cause-effect-relation understanding of the interdependencies between data roles
and business models, system dynamics was chosen as the approach of analysis.
Within a multiple case study of five business model cases with multiple embedded
units per case, the study shows that there are four recurring basic data role
patterns e.g. ‘incremental improvement’ or ‘initial data boost’ and two data
role characteristic patterns, describing how data roles unfold within business
models e.g. ‘change in self-reinforcement’ pattern. Overall, the patterns help
to visualize and articulate data usage in business models and therefore
contribute to the ongoing endeavor of innovating business models.
APA:
Förster, M., Bansemir, B., & Roth, A. (2019). Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective. In Proceedings of the 14th International Conference on Wirtschaftsinformatik (pp. 1753-1767). Siegen, Germany.
MLA:
Förster, Matthias, Bastian Bansemir, and Angela Roth. "Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective." Proceedings of the 14th International Conference on Wirtschaftsinformatik, Siegen, Germany 2019. 1753-1767.
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