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.

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

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.