@inproceedings{9275,
  abstract     = {{In the last years, store-oriented software ecosystems are gaining
more and more attention from a business perspective. In these ecosystems,
third-party developers upload extensions to a store which can be
downloaded by end users. While the functional scope of such ecosystems
is relatively similar, the underlying business models differ greatly in and
between their different product domains (e.g. Mobile Phone, Smart TV).
This variability, in turn, makes it challenging for store providers to 
find a business model that fits their own needs.
To handle this variability, we introduce the Business Variability Model
(BVM) for modeling business model decisions. The basis of these decisions
is the analysis of 60 store-oriented software ecosystems in eight
different product domains. We map their business model decisions to the
Business Model Canvas, condense them to a variability model and discuss
particular variants and their dependencies. Our work provides store
providers a new approach for modeling business model decisions together
with insights of existing business models. This, in turn, supports them
in creating new and improving existing business models.}},
  author       = {{Gottschalk, Sebastian and Rittmeier, Florian and Engels, Gregor}},
  booktitle    = {{Business Modeling and Software Design}},
  editor       = {{Shishkov, Boris}},
  keywords     = {{Software Ecosystems, Business Models, Variabilities}},
  location     = {{Lisbon}},
  pages        = {{153--169}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Business Models of Store-Oriented Software Ecosystems: A Variability Modeling Approach}}},
  doi          = {{10.1007/978-3-030-24854-3_10}},
  year         = {{2019}},
}