Abstract

Human–AI Collaboration (HAIC) harnesses the complementary strengths of humans and AI to improve productivity, efficiency, and overall performance in manufacturing settings. Despite its growing adoption, the impact of HAIC on Shop Floor Work Characteristics (SFWC) remains underexplored. To address this gap, we conducted a systematic review with a hermeneutic approach, analysing 71 journal articles published between 213 and 225. The articles were thematically analysed, and the key themes relevant to this study have been synthesized and presented. Our findings reveal that HAIC has a complex and ambivalent effect on SFWC, generating both positive and negative outcomes. Drawing on the Socio-Technical Systems (STS) framework, the study highlights how social, technical, and ethical factors influence work characteristics. Finally, it identifies gaps in the current literature and outlines potential directions for future research to advance understanding of HAIC’s effects on the shop floor.

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