Start Date
16-8-2018 12:00 AM
Description
Business modeling has become an essential tool in practice for analyzing and generating business models. In recent years, digital innovation with data-driven services gained an important role for the development of new or improved business models. As a consequence of this development, the impact of data on business models in general and business modeling in particular becomes an important issue in research as well as practice. Yet, research on business modeling for data-driven business models (DDBM) is a burgeoning field of research. Hence, this paper surveys the extant literature of DDBM to assess the state of the art in this area. Based on these insights, the paper suggests requirements of DDBM and opportunities for future business modeling research that could improve the analysis and generation of DDBM. As a consequence of these requirements, we suggest opportunities to extend the Business Model Canvas for data-driven business models.
Recommended Citation
Kühne, Babett and Böhmann, Tilo, "Requirements for Representing Data-Driven Business Models - Towards Extending the Business Model Canvas" (2018). AMCIS 2018 Proceedings. 17.
https://aisel.aisnet.org/amcis2018/eBusiness/Presentations/17
Requirements for Representing Data-Driven Business Models - Towards Extending the Business Model Canvas
Business modeling has become an essential tool in practice for analyzing and generating business models. In recent years, digital innovation with data-driven services gained an important role for the development of new or improved business models. As a consequence of this development, the impact of data on business models in general and business modeling in particular becomes an important issue in research as well as practice. Yet, research on business modeling for data-driven business models (DDBM) is a burgeoning field of research. Hence, this paper surveys the extant literature of DDBM to assess the state of the art in this area. Based on these insights, the paper suggests requirements of DDBM and opportunities for future business modeling research that could improve the analysis and generation of DDBM. As a consequence of these requirements, we suggest opportunities to extend the Business Model Canvas for data-driven business models.