Understanding the Challenges of AI Implementation: Insights from an Empirical Study of Manufacturing Companies

Leon Oldemeyer (), Andreas Jede and Frank Teuteberg
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Leon Oldemeyer: Osnabrück University of Applied Sciences
Andreas Jede: Osnabrück University of Applied Sciences
Frank Teuteberg: University of Osnabrück

A chapter in Artificial Intelligence, Data, and Decision-Making, 2026, pp 153-168 from Springer

Abstract: Abstract The increasing importance of artificial intelligence on manufacturing competitiveness is a prevalent topic in contemporary studies. Thereby, the potential of AI extends across companies of all sizes. However, small and medium-sized enterprises in particular see major challenges in AI implementation. As a result, our study determined the variations in the perceived barriers to AI realization among different company sizes and the obstacles that notably impede the willingness to implement AI. To achieve this, a factor analysis and structural equation modeling were carried out. Our findings highlight that the different challenges for AI implementation can be divided into four groups economic, technological, social, and political. Thereby the perception of economic challenges varies the most among distinct enterprise sizes, whereas the social challenges correlate extremely weakly. Regarding the willingness to implement AI, political challenges show the strongest negative correlation, while technological challenges, contrary to prior assumptions, lack significant influence.

Keywords: Artificial intelligence; Barriers; Challenges; Readiness for AI implementation (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-08480-4_11

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DOI: 10.1007/978-3-032-08480-4_11

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