Making Data Tangible for Data-driven Innovations in a Business Model Context

Babett Kühne, Andreas Zolnowski, Jennifer Bornholt and Tilo Böhmann

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

Abstract: As digital transformation has occurred over the last decade, organizations have been compelled to seek new business models. As a consequence of this development, the impact of data on business models has become a focus of interest in research as well as in practice. Based on typical characteristics of data-driven business models (DDBMs), this paper develops 19 design principles for their visual representation. The design principles were derived from semi-structured interviews with experts in the field of DDBMs and were clustered into the Business Model Canvas (BMC). The contribution of this paper is threefold. First, the developed design principles deepen the knowledge base on DDBMs. Second, other business model representations can be assessed against these design principles and new or aligned representations can be developed. Third, the design principles can be used by practitioners to develop a DDBM.

Date: 2019-06-08
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Published in Americas Conference on Information Systems - AMCIS 2019 (2019-06-08)

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Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:113195

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