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Maturity Models for the Assessment of Artificial Intelligence in Small and Medium-Sized Enterprises

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Digital Transformation (PLAIS EuroSymposium 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 429))

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Abstract

The digital transformation creates major challenges for companies and fosters disruptive change processes. Artificial intelligence (AI) and its applications play a major part in this context. Therefore, companies need to assess the necessity and advancement of AI applications on a regular basis. This type of AI assessments of applications, services and products can be driven based on maturity models (MM). This article aims to present and assess the status quo of current research on existing AIMM. Simultaneously, this work defines the foundation for further research activities in the field of AIMM and addresses previously neglected perspectives such as facets of privacy or ethical issues.

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Authors and Affiliations

  1. Institute of Smart Systems and Services, Pforzheim University of Applied Sciences, Tiefenbronner Str. 65, 75175, Pforzheim, Germany

    Thomas Schuster, Lukas Waidelich & Raphael Volz

Authors
  1. Thomas Schuster
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  2. Lukas Waidelich
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  3. Raphael Volz
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Corresponding author

Correspondence to Lukas Waidelich .

Editor information

Editors and Affiliations

  1. University of Gdansk, Sopot, Poland

    Stanisław Wrycza

  2. University of Gdansk, Sopot, Poland

    Jacek Maślankowski

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Schuster, T., Waidelich, L., Volz, R. (2021). Maturity Models for the Assessment of Artificial Intelligence in Small and Medium-Sized Enterprises. In: Wrycza, S., Maślankowski, J. (eds) Digital Transformation. PLAIS EuroSymposium 2021. Lecture Notes in Business Information Processing, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-030-85893-3_2

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  • DOI: https://doi.org/10.1007/978-3-030-85893-3_2

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