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Towards a unifying understanding of digital business models

 
: Guggenberger, T.M.; Boualouch, K.; Möller, F.; Otto, B.

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Fulltext ()

Vogel, D. ; Association for Information Systems -AIS-:
24th Pacific Asia Conference on Information System, PACIS 2020. Proceedings. Online resource : Information Systems (IS) for the Future. 20th to 24 June 2020, Dubai
AIS Electronic Library (AISeL), 2020
https://aisel.aisnet.org/pacis2020/
ISBN: 978-1-7336325-3-9
Pacific Asia Conference on Information Systems (PACIS) <24, 2020, Dubai/cancelled>
English
Conference Paper, Electronic Publication
Fraunhofer ISST ()

Abstract
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 whi ch is useful to map DBM's. © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020.

: http://publica.fraunhofer.de/documents/N-602846.html