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Competences for the In-house Development of Digital Innovations in German Mechanical Engineering Companies

In: Managing Digital Open Innovation

Author

Listed:
  • Steffen Kinkel
  • Johanna Rahn
  • Bernhard Rieder
  • Anne-Laure Mention
  • Marko Torkkeli

Abstract

The German mechanical engineering sector plays a key role as provider and user of digitally integrated products, processes and business models for Industry 4.0. However, it has not yet been empirically investigated to what extent these companies are able to independently develop digital products and services and what kind of competences they need to be able to do this successfully. An online survey of 335 German mechanical engineering companies and 15 deepening expert interviews shows that they mainly regard digitized service offerings such as predictive maintenance or condition monitoring as core competences and develop them in-house. The analysis shows that agile and design-oriented development methods can significantly improve the companies’ abilities to develop digitized products themselves. An interdisciplinary approach will become more and more important in the future, as digitally integrated innovations are increasingly taking place in the intersection of different disciplines.

Suggested Citation

  • Steffen Kinkel & Johanna Rahn & Bernhard Rieder & Anne-Laure Mention & Marko Torkkeli, 2020. "Competences for the In-house Development of Digital Innovations in German Mechanical Engineering Companies," World Scientific Book Chapters, in: Pierre-Jean Barlatier & Anne-Laure Mention (ed.), Managing Digital Open Innovation, chapter 14, pages 379-399, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811219238_0014
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    Citations

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    Cited by:

    1. Kinkel, Steffen & Baumgartner, Marco & Cherubini, Enrica, 2022. "Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies," Technovation, Elsevier, vol. 110(C).
    2. Kinkel, Steffen & Capestro, Mauro & Di Maria, Eleonora & Bettiol, Marco, 2023. "Artificial intelligence and relocation of production activities: An empirical cross-national study," International Journal of Production Economics, Elsevier, vol. 261(C).

    More about this item

    Keywords

    Open Innovation; Digital Disruption; Industry 4.0; Data-Driven Decision; Value Networks; Organizational Agility; Digital Design; Collaboration; Innovation Policy; Social Media; Open Strategy;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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