Continuing digitalization and its impact on business models lead to various streams of literature that emerge parallelly and provide different types of digital business models (DBM’s). Furthermore, it results in synonymously used terminology and concepts what leads to a lack of clarity. There is, therefore, a need to find a consensus of the Information Systems literature in order to provide a unifying understanding of DBM’s and its adjacent concepts. Thus, our method of choice is a rigorous Systematic Literature Review. The in-depth analysis of 104 articles leads to a working definition of DBM’s and three significant findings. First, we identified research streams of DBM the, so defined, generic subtypes, namely Data-Driven and Digital Platform Business Models and an additional hybrid type, the Data Platform Business Model. Second, we identified a conceptual hierarchy between the concepts, and third, as both subtypes are not exclusive, we propose a typology of DBM’s which is useful to map DBM’s.
Guggenberger, Tobias; Möller, Frederik; Boualouch, Karim; and Otto, Boris, "Towards a Unifying Understanding of Digital Business Models" (2020). PACIS 2020 Proceedings. 70.
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