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Spin-Off Strategies of Established Companies Due to Digitalization and Disruption

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Book cover Systems, Software and Services Process Improvement (EuroSPI 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1251))

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Abstract

Due to digitalization and disruptive innovations, many established companies are faced with the task of adapting their business models and processes to new requirements. To avoid risks and exploit opportunities, spin-offs are founded for this purpose.

The research question to be answered is if spin-off strategies can be based on a general form and if measures can be clustered. For this purpose, literature was evaluated and interviews with experts were conducted. In this way a structured approach could be developed, which is based on four result clusters: reasons, arguments, differentiation and success factors.

The results are particularly interesting for the management of spin-offs and for companies that want to set up one.

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Notes

  1. 1.

    Due to manual evaluation of the information of the respective internet website.

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Authors and Affiliations

  1. University of Applied Sciences Düsseldorf, Münsterstr. 156, 40476, Düsseldorf, Germany

    Dominik Kretschmar, Jörg Niemann & Felix Müller

Authors
  1. Dominik Kretschmar
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  2. Jörg Niemann
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  3. Felix Müller
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Corresponding author

Correspondence to Dominik Kretschmar .

Editor information

Editors and Affiliations

  1. School of Computing, Dublin City University, Dublin, Ireland

    Murat Yilmaz

  2. University of Applied Sciences Düsseldorf, Düsseldorf, Germany

    Jörg Niemann

  3. School of Computing, Dublin City University, Dublin, Ireland

    Paul Clarke

  4. I.S.C.N. GesmbH, Graz, Steiermark, Austria

    Richard Messnarz

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Kretschmar, D., Niemann, J., Müller, F. (2020). Spin-Off Strategies of Established Companies Due to Digitalization and Disruption. In: Yilmaz, M., Niemann, J., Clarke, P., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2020. Communications in Computer and Information Science, vol 1251. Springer, Cham. https://doi.org/10.1007/978-3-030-56441-4_58

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  • DOI: https://doi.org/10.1007/978-3-030-56441-4_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-56440-7

  • Online ISBN: 978-3-030-56441-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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