Design Framework for the Implementation of AI-based (Service) Business Models for Small and Medium-sized Manufacturing Enterprises

Joerg von Garrel () and Carlos Jahn ()
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Joerg von Garrel: Darmstadt University of Applied Sciences (Hochschule Darmstadt, h_da)
Carlos Jahn: Hamburg University of Technology (TU Hamburg)

Journal of the Knowledge Economy, 2023, vol. 14, issue 3, No 60, 3569 pages

Abstract: Abstract In a globalized world, small- and medium-sized manufacturing enterprises (manufacturing SME) face the challenge of keeping up with global competition. Although AI is ascribed the potential to fundamentally change entire markets, industries, and general business activities, the question remains how SME can implement AI in their operation effectively and efficiently, and therefore build up potential (service) business models. The aim of this paper is to reveal the innovation potential of these systems and to provide instructions on how they can be used by SME. Through these resources can be used more efficiently and new business models can be created. The causes for the little use of AI are numerous and solutions were sought in this work. The result is a socio-technical framework that allows manufacturing SME to build up AI-based (service) business models for themselves.

Keywords: Business model; Business model design; Artificial intelligence; Small and medium-sized manufacturing enterprises (manufacturing SME); Socio-technical design framework (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13132-022-01003-z

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