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Archetypes of digital business models in logistics start-ups

 
: Möller, F.; Bauhaus, H.; Hoffmann, C.; Niess, C.; Otto, B.

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Fulltext ()

Twenty-Seventh European Conference on Information Systems, ECIS 2019. Proceedings : June 8-14, 2019, Stockholm-Uppsala, Sweden
AIS Electronic Library (AISeL), 2019
ISBN: 978-1-7336325-0-8
19 pp.
European Conference on Information Systems (ECIS) <27, 2019, Stockholm-Uppsala>
English
Conference Paper, Electronic Publication
Fraunhofer ISST ()

Abstract
Our work develops an archetypical representation of current digital business models of Start-Ups in the logistics sector. In order to achieve our goal, we analyze the business models of 125 Start-Ups. We draw our sample from the Start-Up database AngelList and focus on platform-driven businesses. We chose Start-Ups as they often are at the forefront of innovation and thus have a high likelihood of operating digital business models. Following well-established methodological guidelines, we construct a taxonomy of digital business models in multiple iterations. We employ different algorithms for cluster analysis to find and generate clusters based on commonalities between the business models across the dimensions and characteristics of the taxonomy. Ultimately, we use the dominant features of the emerging patterns within the clusters to derive archetypes. © 27th European Conference on Information Systems - Information Systems for a Sharing Society, ECIS 2019.

: http://publica.fraunhofer.de/documents/N-602929.html