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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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
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spelling Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 settingde Andres-Sanchez, JorgeArias-Oliva, MarioPelegrin-Borondo, JorgeMontero-Vilela, Juan AndrésHuman-robot collaborationIndustry 5.0Necessary condition analysisTechnology acceptance modelVariance based PLS-SEM[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.This research was supported by Telefonica and its Telefonica Chair on Smart Cities of the Universitat Rovira i Virgili and Universitat de Barcelona project number [42.DB.00.18.00]. Institutional Review Board Statement.Griffith UniversityDepartamento de Organización de EmpresasEscuela Técnica Superior de Ingeniería IndustrialFundación TelefónicaUniversitat de BarcelonaUniversitat Rovira i VirgiliRepositorio Institucional de la Universitat Politècnica de València Riunet20262026-04-0120262026-06-1020272027-10-27journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/235993reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengembargoed accesshttp://purl.org/coar/access_right/c_f1cfReconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccessoai:dnet:riunet______::953ae8a5fc63545d54765916d617c7b92026-06-13T07:49:27Z
dc.title.none.fl_str_mv Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting
title Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting
spellingShingle Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting
de Andres-Sanchez, Jorge
Human-robot collaboration
Industry 5.0
Necessary condition analysis
Technology acceptance model
Variance based PLS-SEM
title_short Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting
title_full Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting
title_fullStr Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting
title_full_unstemmed Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting
title_sort Drivers and necessary conditions of human robot collaboration acceptance in the Industry 5.0 setting
dc.creator.none.fl_str_mv de Andres-Sanchez, Jorge
Arias-Oliva, Mario
Pelegrin-Borondo, Jorge
Montero-Vilela, Juan Andrés
author de Andres-Sanchez, Jorge
author_facet de Andres-Sanchez, Jorge
Arias-Oliva, Mario
Pelegrin-Borondo, Jorge
Montero-Vilela, Juan Andrés
author_role author
author2 Arias-Oliva, Mario
Pelegrin-Borondo, Jorge
Montero-Vilela, Juan Andrés
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Organización de Empresas
Escuela Técnica Superior de Ingeniería Industrial
Fundación Telefónica
Universitat de Barcelona
Universitat Rovira i Virgili
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Human-robot collaboration
Industry 5.0
Necessary condition analysis
Technology acceptance model
Variance based PLS-SEM
topic Human-robot collaboration
Industry 5.0
Necessary condition analysis
Technology acceptance model
Variance based PLS-SEM
description [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.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026-04-01
2026
2026-06-10
2027
2027-10-27
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/235993
url https://riunet.upv.es/handle/10251/235993
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv embargoed access
http://purl.org/coar/access_right/c_f1cf
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/embargoedAccess
rights_invalid_str_mv embargoed access
http://purl.org/coar/access_right/c_f1cf
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Griffith University
publisher.none.fl_str_mv Griffith University
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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