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Tech & AI 4.4

New framework helps factories adopt human-centered automation

Researchers have created a roadmap for manufacturers shifting to Industry 5.0, a model that balances automation with worker wellbeing and sustainability. The framework identifies which management strategies work best at each stage of adoption, potentially accelerating the transition while reducing costly implementation failures.

Originaltitel: Technology adoption models for Operator 5.0 implementations: A harmonized framework

Abstrakt

<p>This article examines the alignment and applicability of prominent technology adoption models in supporting the transition from Industry 4.0 to Industry 5.0, with a particular emphasis on the Operator 5.0 paradigm. Industry 5.0 extends beyond technological integration, emphasizing human-centricity, sustainability, and resilience. However, the practical implementation of Operator 5.0 initiatives faces significant barriers due to insufficient frameworks addressing these holistic dimensions. Through a systematic literature review of nine prominent technology adoption models (categorized into individual user-level, system-centered, and holistic theories), this research identifies their suitability for supporting human-centric, resilient, and sustainable Operator 5.0 initiatives. Findings reveal variability in model applicability across implementation phases (pre-implementation, implementation, post-implementation) and dimensions of Operator 5.0. A harmonized framework, termed the TAMOP 5.0 (Technology Adoption Models for Operator 5.0), was developed to map the strengths, limitations, and contextual applicability of these models using a three-round Delphi study concluded with consensus (a priori consensus rule). The TAMOP 5.0 is a strategic visual tool for practitioners and researchers, offering guidance to enhance employee acceptance, engagement, and successful adoption of Operator 5.0 initiatives. In an illustrative cobot-retrofit case, TAMOP 5.0 operationalizes phased adoption decisions by linking pre-change ergonomic/absence baselines, implementation support, and post-change KPI monitoring. The study concludes with recommendations for practical applications and highlights the need for further empirical validation of the proposed framework.</p>

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