Self-Service Kits to scale knowledge to autonomous teams - concept, application and limitations

Alexander Poth1, Mario Kottke1 and Andreas Riel2

  1. Volkswagen AG, Berliner Ring 2
    D-38436 Wolfsburg, Germany
    {alexander.poth, mario.kottke}@volkswagen.de
  2. Grenoble Alpes University, Grenoble INP, G-SCOP Laboratory
    F-38031 Grenoble Cedex 1, France
    andreas.riel@grenoble-inp.fr

Abstract

In large organizations, it is not trivial to spread knowledge to all teams. Often, individual teams need to handle similar topics and re-invent the wheel. Another scenario is that a group of people with a common role (for example “guild” in Spotify model) has to distill their practices to make them shareable. Trainings should have empower participants so to apply the learnings easily in their daily businesses. To realize this, the proposed Self-Service Kit (SSK) approach can be used in the context of a holistic methodology that fosters team autonomy while leveraging knowledge spread and sharing throughout a large organization. Such a methodology is presented and instantiated in an enterprise context in facing the mentioned challenges.

Key words

computer science, information systems, agile, learning organization, efiS framework

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS211112048P

Publication information

Volume 20, Issue 1 (January 2023)
Year of Publication: 2023
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Poth, A., Kottke, M., Riel, A.: Self-Service Kits to scale knowledge to autonomous teams - concept, application and limitations. Computer Science and Information Systems, Vol. 20, No. 1, 229–249. (2023), https://doi.org/10.2298/CSIS211112048P