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A Project Management Decision Support Tool for Keeping Pace with the Dynamics of Corporate Innovation Projects

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Systems, Software and Services Process Improvement (EuroSPI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 896))

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Abstract

Corporate innovation projects are typically characterized by a high dynamics of needs, insights and related solution approaches. In particular, the continuously increasing need complexity of innovation projects requires an approach to identify the project methodologies that are appropriate for a particular project, sub-project and their context, as well as to apply them correctly. This article proposes a practical decision support model for innovation project managers to select the management mode and method according to the current and evolving needs of an innovation project. This model has strongly been inspired by the experiential learning model of Kolb. This model is validated within the industrial environment of a German global key player in the pharmaceutical and chemical industry based on four selected innovation projects.

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Author information

Authors and Affiliations

  1. Institute of Engineering, University Grenoble Alpes, G-SCOP, 38000, Grenoble, France

    Karolin Gebhardt & Andreas Riel

  2. Bayer AG, 51373, Leverkusen, Germany

    Karolin Gebhardt & Tom Maes

Authors
  1. Karolin Gebhardt
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  2. Tom Maes
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  3. Andreas Riel
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Corresponding authors

Correspondence to Karolin Gebhardt , Tom Maes or Andreas Riel .

Editor information

Editors and Affiliations

  1. Tecnalia Bizkaia, San Sebastián, Spain

    Xabier Larrucea

  2. Tecnalia Bizkaia, San Sebastián, Spain

    Izaskun Santamaria

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

    Rory V. O'Connor

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

    Richard Messnarz

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Gebhardt, K., Maes, T., Riel, A. (2018). A Project Management Decision Support Tool for Keeping Pace with the Dynamics of Corporate Innovation Projects. In: Larrucea, X., Santamaria, I., O'Connor, R., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2018. Communications in Computer and Information Science, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-319-97925-0_52

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  • DOI: https://doi.org/10.1007/978-3-319-97925-0_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97924-3

  • Online ISBN: 978-3-319-97925-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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