Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting

[EN] A key distinctive characteristic of Industry 5.0 with respect to Industry 4.0 is the redefinition of the use of robots in industry, where technologies like cobots enable a collaborative use in the workplace. The robot goes from being an isolated tool in the production process to a kind of workm...

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Detalles Bibliográficos
Autores: de Andres-Sanchez, Jorge, Arias-Oliva, Mario, Pelegrin-Borondo, Jorge, Montero-Vilela, Juan Andrés
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:dnet:riunet______::953ae8a5fc63545d54765916d617c7b9
Acceso en línea:https://riunet.upv.es/handle/10251/235993
Access Level:acceso embargado
Palabra clave:Human-robot collaboration
Industry 5.0
Necessary condition analysis
Technology acceptance model
Variance based PLS-SEM
Descripción
Sumario:[EN] A key distinctive characteristic of Industry 5.0 with respect to Industry 4.0 is the redefinition of the use of robots in industry, where technologies like cobots enable a collaborative use in the workplace. The robot goes from being an isolated tool in the production process to a kind of workmate. This is known as human-robot collaboration (HRC). This paper analyzes the acceptance of this type of technology with a sample of 126 industrial workers, adopting as a theoretical ground the Technology Acceptance Model (TAM). Specifically, the attitude towards HRC is explained, directly or indirectly, through perceived usefulness (PU), perceived ease of use (PEoU), subjective norm (SN), positive emotions (PE), and anxiety emotions (AE). Using the proposed analytical framework, the model is adjusted with variance-based Partial Least Squares-Structural Equation Modelling (PLS-SEM), and necessary conditions for acceptance are identified using Necessary Condition Analysis (NCA). With PLS-SEM, we observe that the positive relationships of PU (directly), PEoU, and SN (partially mediated by PU) and PE and AE (fully mediated by PEoU) are significant in explaining the attitude. With NCA, we observe that only PU and PE and AE are necessary conditions with an empirically relevant effect size for the existence of acceptance.