WiWiEn - Knowledge domains through a digital knowledge platform for decision support

There is a lack of resources in the German manufacturing SME sector for the
acquisition and use of domain and methodological knowledge in the context of AI and business models for service and product innovation.

In order to promote and support manufacturing SMEs as the backbone of the German
economy, not only technical and economic skills are required, but also social science considerations as an interdisciplinary task.


Project information

Development of a knowledge platform to provide procedures, methods, good
examples and knowledge modules in the context of AI-based business model innovations
along the management cycle, including the provision of a process for building the necessary trust as the basis for change.

  • Development and design of a guideline
  • 2-stage usability survey
  • Field studies on the user experience
  • Development of knowledge content (AI methods, AI use cases, AI terms)
  • Analysis and preparation of best practices
  • Interview series of field reports
  • Systematization of revenue models
  • Design of a trust process
  • Market environment analysis
  • Business environment analysis
  • Employee qualification survey
  • Further analysis of the results of the quantitative survey
  • Industry-related findings on the use of AI in medium-sized manufacturing companies
  • Application, testing and adaptation of theories in the area of organizations
    and customer channels
  • Transfer of scientific findings into teaching
  • Transfer of resulting questions into teaching (catalog of topics)
  • Lectures, publications
  • External presentation through presentations and publications
  • job creation
  • Networking with other scientific institutions, including the BMBF and
    committee work
  • Garrel, J. v.; Thomas, S. (2023): Artificial intelligence and manufacturing SMEs Status quo and potentials for the design and implementation of AI-based (service) business models. 69th Spring Congress. Hanover, 02.03. - 04.03.2023. Society for Ergonomics (GfA)
  • Garrel, J. v.; Thomas, S. (2023): SMEs and AI. A concept for success. In: IM+io trade journal, March 2023.
  • Garrel, J. v.; Thomas, S.; Jung, M.; Werens, S.: Corporate culture. Will it remain the constant in a disruptive age of technological upheaval?
    In: zfo Journal Leadership + Organization 2023
  • Garrel, J. v.; Thomas, S.; Werens, S. (2023): Code Change. The power of corporate culture.
    In: IM+io trade journal 2023, September 2023.
  • Merkel-Kiss,M., Thomas, S., v. Garrel, J.: Systematic Literature analysis on the use of AI and
    AI-based business models in small and medium-sized manufacturing companies, conference paper,
    Gfa 68.
  • Spring Congress, Magdeburg,
  • Merkel-Kiss, M., von Garrel, J., 2022/09, Online, Systematic literature analysis on the use of AI and AI-based business models in manufacturing small and medium-sized
    companies. Z.
    Arb. Wiss. (2022). https://doi.org/10.1007/s41449-022-00323-9.
  • von Joerg, G., Carlos, J. Design Framework for the Implementation of AI-based (Service)
    Business Models for Small and Medium-sized Manufacturing Enterprises.
    J Knowl Econ (2022). https://doi.org/10.1007/s13132-022-01003-z

Status: ongoing

Funded by: Federal Ministry of Education and Research (BMBF)

Project partners: Fraunhofer, COSMO Code, Zorn Instruments, Form Test Prüfsysteme

Participants at h_da: Prof. Dr. Jörg von Garrel, Patrick Berger, Maria Jung and Simone Thoma

Project information

Duration: 01.06.2021 until 31.05.2024

Funded by the Federal Ministry of Education and Research