From human-centric to value co-creation: a staged model of human-AI collaboration in smart manufacturing

Purpose This paper aims to examine how manufacturing enterprises manage the organizational changes triggered by artificial intelligence (AI) adoption and theorizes the staged evolution of human–AI collaboration through shifts in routines and dominant logic. Design/methodology/approach Drawing on dominant logic and routine dynamics theory, we apply the Gioia methodology to analyze in-depth interview data from 30 manufacturing managers. Findings The analysis uncovers a three-stage evolution of dominant logics – shifting from human-centric to alignment optimization and ultimately to value co-creation. Each stage drives changes in organizational routine, deepening the collaboration between humans and AI. Originality/value This paper proposes a theoretical model that captures the progression of human–AI collaboration. This model advances our understanding of AI-driven organizational change and provides actionable insights for manufacturers seeking intelligent transformation.

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Publication Details

Journal
Journal of Manufacturing Technology Management
Published
2026-04-21
DOI
https://doi.org/10.1108/jmtm-09-2025-0887
Primary Topic
Service and Product Innovation
Type
article
Field-Weighted Citation Impact
0.00

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article

From human-centric to value co-creation: a staged model of human-AI collaboration in smart manufacturing

Zhen Chen, Rui Zhao, Yuchao Wu, Lixia Niu et al.
Journal of Manufacturing Technology Management
Service and Product Innovation
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From human-centric to value co-creation: a staged model of human-AI collaboration in smart manufacturing

Zhen Chen, Rui Zhao, Yuchao Wu, Lixia Niu, Amy Van Looy
article en

Abstract

Purpose This paper aims to examine how manufacturing enterprises manage the organizational changes triggered by artificial intelligence (AI) adoption and theorizes the staged evolution of human–AI collaboration through shifts in routines and dominant logic. Design/methodology/approach Drawing on dominant logic and routine dynamics theory, we apply the Gioia methodology to analyze in-depth interview data from 30 manufacturing managers. Findings The analysis uncovers a three-stage evolution of dominant logics – shifting from human-centric to alignment optimization and ultimately to value co-creation. Each stage drives changes in organizational routine, deepening the collaboration between humans and AI. Originality/value This paper proposes a theoretical model that captures the progression of human–AI collaboration. This model advances our understanding of AI-driven organizational change and provides actionable insights for manufacturers seeking intelligent transformation.

Journal of Manufacturing Technology Management
Fuyang Normal University (CN), Liaoning Technical University (CN), Athens University of Economics and Business (GR)
National Natural Science Foundation of China, China Scholarship Council
Openalex Percentile: Top 8%
Service and Product Innovation
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