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  4. Adopting Generative AI in Industrial Product Companies: Challenges and Early Pathways
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Adopting Generative AI in Industrial Product Companies: Challenges and Early Pathways

Journal
Proceedings of the 20th International Conference on Wirtschaftsinformatik (WI 2025)
Type
conference paper
Date Issued
2025-09
Author(s)
Paffrath, Vincent  
;
Wlcek, Manuel  
;
Wortmann, Felix  
Abstract
Generative Artificial Intelligence (GenAI) is rapidly transforming industries, yet its adoption in industrial product companies remains fraught. Unlike software and service firms, they often lack digital expertise, are challenged with legacy systems, and operate in a complex environment of hardware, software, and service. While the hype surrounding GenAI promises future breakthrough innovation, industrial product companies must navigate intricate challenges to realize its full impact. This study, based on expert interviews with industry leaders and GenAI technology providers, identifies nine key challenges and corresponding countermeasures that shape GenAI adoption in industrial product companies. By structuring these insights across core dimensions-technology, organization, and environment-we bridge the gap between expectation and execution, offering practical guidance for firms seeking to move beyond experimentation toward meaningful value creation. Our findings contribute to a deeper understanding of the nuanced adoption processes of GenAI in industrial contexts.
Language
English (United States)
Keywords
GenAI
AI Adoption
Industrial Product Companies
AI in Manufacturing
Digital Transformation
Publisher place
Münster, Germany
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/124349
File(s)
Thumbnail Image

open.access

Name

Adopting Generative AI in IPCs.pdf

Size

373.72 KB

Format

Adobe PDF

Checksum (MD5)

a8f679d2b85f3a6c89964090d8a19c28

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