Adapting to Technological Change: A Case Study on AI Implications for Shop-Floor Level Worker

Leutheuser V, Müller J, Voigt KI (2025)


Publication Type: Conference contribution, Conference Contribution

Publication year: 2025

Publisher: Springer Science and Business Media Deutschland GmbH

Book Volume: 2

Pages Range: 3-18

Conference Proceedings Title: IFIP Advances in Information and Communication Technology

Event location: Kamakura, Japan

ISBN: 9783032035332

DOI: 10.1007/978-3-032-03534-9_1

Abstract

The integration of artificial intelligence (AI) applications into the smart manufacturing environment of industrial companies is of increasing interest in research and practice. In addition to the technological changes brought by this integration, there is also a direct impact on shop-floor employees working with these AI-systems. To ensure successful human-AI collaboration, it is essential to identify the impacting factors on the employees. Drawing on a cross-industry case study with 40 expert interviews, this study provides insights into current practices of four industrial sectors: automotive, chemical engineering, mechanical engineering, and electrical engineering. Based on a combination of Technology-Organization-Environment (TOE) framework and Technology Acceptance Model (TAM), this study compares current applications and indicates implications for human-AI collaboration from an organizational and individual perspective. The results show that shop-floor employees in different industries are influenced by several key characteristics for human-AI collaboration, such as the underlying digital infrastructure and corporate guidelines. Subsequently, the findings are discussed in the context of the differences between the individual and organizational levels, managing expectations, and supporting workload reduction. Thus, this study makes a significant contribution to the ongoing discourse on human-AI collaboration including the shop-floor level perspective.

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How to cite

APA:

Leutheuser, V., Müller, J., & Voigt, K.-I. (2025). Adapting to Technological Change: A Case Study on AI Implications for Shop-Floor Level Worker. In Hajime Mizuyama, Eiji Morinaga, Toshiya Kaihara, Tomomi Nonaka, Gregor von Cieminski, David Romero (Eds.), IFIP Advances in Information and Communication Technology (pp. 3-18). Kamakura, Japan: Springer Science and Business Media Deutschland GmbH.

MLA:

Leutheuser, Viktoria, Julian Müller, and Kai-Ingo Voigt. "Adapting to Technological Change: A Case Study on AI Implications for Shop-Floor Level Worker." Proceedings of the Advances in Production Management Systems (APMS) 2025, Kamakura, Japan Ed. Hajime Mizuyama, Eiji Morinaga, Toshiya Kaihara, Tomomi Nonaka, Gregor von Cieminski, David Romero, Springer Science and Business Media Deutschland GmbH, 2025. 3-18.

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