Towards a Unified Approach to Identify Business Model Patterns: A Case of E-Mobility Services

Conference paper

DOI: 10.1007/978-3-319-56925-3_15

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 279)
Cite this paper as:
Hunke F., Schüritz R., Kuehl N. (2017) Towards a Unified Approach to Identify Business Model Patterns: A Case of E-Mobility Services. In: Za S., Drăgoicea M., Cavallari M. (eds) Exploring Services Science. IESS 2017. Lecture Notes in Business Information Processing, vol 279. Springer, Cham

Abstract

The introduction of new technologies creates the pursuit for innovative business models. In order to compare and evaluate such models in new markets, business model patterns can support the provision of new insights. However, so far there is no agreed upon transparent approach that helps to identify these patterns. Based on a combination of established statistical methods we propose a systematical approach that allows to identify business model patterns of any given domain. In order to validate the approach, we apply it on a data set of 58 e-mobility projects and as a result identify five distinct and semantically meaningful business models types. This paper contributes on the one hand by suggesting a new approach to identify different patterns of business models and on the other hand provides a valuable insight of the current state of e-mobility service business models that can further drive the adoption.

Keywords

Business models Patterns Clustering E-Mobility services 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Karlsruhe Service Research Institute (KSRI)Karlsruhe Institute of Technology (KIT)KarlsruheGermany

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