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

Arthur Klippenstein (), Christoph Weskamp (), Florian Laux (), Florian Neuhaus (), Karlson Pfannschmidt (), Melissa Bülling () and Stephan Kassanke ()
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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

A chapter in Solutions and Technologies for Responsible Digitalization, 2025, pp 361-375 from Springer

Abstract: 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.

Keywords: Business model development; Hybrid intelligence; Machine-generated ideas; Prototype (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-80122-8_23

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DOI: 10.1007/978-3-031-80122-8_23

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