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Business Model Patterns for the Connected Car and the Example of Data Orchestrator

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Software Business (ICSOB 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 210))

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Abstract

Along with the connected car, previously isolated business models of traditional goods-producing industry melt together with those of software businesses. It is becoming apparent that software businesses may have to play an important role, provided that they are capable of building up competencies in engineering business models for this emerging and converged market. We identify and cluster business model patterns that we rate as being capable of transforming product innovations, enabled by abilities and characteristics of cyber-physical systems and the underlying technical platforms, into business model innovations. We discuss further the pattern cluster Data Orchestrator.

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Author information

Authors and Affiliations

  1. Department VIII, Chair of Information Systems II, Prof. Dr. Georg Herzwurm, Keplerstraße 17, 70174, Stuttgart, Germany

    Martin Mikusz, Christopher Jud & Tobias Schäfer

  2. FOM University of Applied Sciences, Rotebühlstr. 121, 70178, Stuttgart, Germany

    Martin Mikusz

Authors
  1. Martin Mikusz
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  2. Christopher Jud
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  3. Tobias Schäfer
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Corresponding author

Correspondence to Martin Mikusz .

Editor information

Editors and Affiliations

  1. University of Minho, Braga, Portugal

    João M. Fernandes

  2. University of Minho, Guimarães, Portugal

    Ricardo J. Machado

  3. Blekinge Institute of Technology, Karlskrona, Sweden

    Krzysztof Wnuk

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Mikusz, M., Jud, C., Schäfer, T. (2015). Business Model Patterns for the Connected Car and the Example of Data Orchestrator. In: Fernandes, J., Machado, R., Wnuk, K. (eds) Software Business. ICSOB 2015. Lecture Notes in Business Information Processing, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-19593-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-19593-3_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19592-6

  • Online ISBN: 978-3-319-19593-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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