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A Prototype to Support Business Model Innovation Through Crowdsourcing and Artificial Intelligence

Author

Listed:
  • Arthur Klippenstein

    (Myconsult GmbH)

  • Christoph Weskamp

    (Paderborn University)

  • Florian Laux

    (Paderborn University)

  • Florian Neuhaus

    (Myconsult GmbH)

  • Karlson Pfannschmidt

    (Paderborn University)

  • Melissa Bülling

    (UNITY AG)

  • Stephan Kassanke

    (Myconsult GmbH)

Abstract

The development of new and innovative business models is a central challenge for many companies, particularly for small and medium-sized companies. Information systems could support these companies by actively guiding them through a business model development process. However, the existing business model development tools only provide passive support for their users (e.g., digital whiteboards). Therefore, we set out to develop a prototype that actively supports its users by generating business model ideas. Informed by an existing design theory, we built a prototype relying on hybrid intelligence (i.e., the combination of human and artificial knowledge). The prototype iteratively generates new business model ideas by recombining existing knowledge, posts the ideas to a crowdsourcing platform for evaluation, and learns from the crowds’ evaluation. This demonstration paper presents the prototype, the challenges we faced during its implementation, and directions for future research on machine-supported business model development.

Suggested Citation

  • Arthur Klippenstein & Christoph Weskamp & Florian Laux & Florian Neuhaus & Karlson Pfannschmidt & Melissa Bülling & Stephan Kassanke, 2025. "A Prototype to Support Business Model Innovation Through Crowdsourcing and Artificial Intelligence," Lecture Notes in Information Systems and Organization,, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-80122-8_23
    DOI: 10.1007/978-3-031-80122-8_23
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