How does artificial intelligence impact employees' engagement in lean organisations?

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dc.catalogadorgrr
dc.contributor.authorTortorella, Guilherme Luz
dc.contributor.authorPowell, Daryl
dc.contributor.authorHines, Peter
dc.contributor.authorMac Cawley Vergara, Alejandro Francisco
dc.contributor.authorTlapa-Mendoza, Diego
dc.contributor.authorVassolo, Roberto
dc.date.accessioned2024-07-17T21:41:27Z
dc.date.available2024-07-17T21:41:27Z
dc.date.issued2024
dc.description.abstractDriven by the digital transformation currently pursued by organisations, artificial intelligence (AI) applications have become more frequent. Nevertheless, its impact on employees' behaviors and attitudes is still poorly known. As employees' engagement (EE) is a key element for a successful Lean Production (LP) implementation, there is the need to understand such AI's implications on EE in this scenario. This paper aims to investigate the impact of AI on EE in lean organisations. We performed a qualitative-empirical approach in which we first interviewed twelve academic experts to grasp the investigated problem. Then, we conducted a multi-case study in manufacturing organisations undergoing a LP implementation to refine such understanding based on the observation of real-world evidence. Identifying commonalities between these stages allowed the formulation of propositions for future theory testing and validation. Findings indicate that AI may positively impact EE dimensions (physical, cognitive, and emotional) in human-centred work environments, such as lean organisations, although not at the same extent. Results also suggest that employees' psychological conditions (safety, meaningfulness, and availability) are positively affected by the relationship between AI and EE. The demystification of AI's effect on EE helps practitioners anticipate potential issues that can impair the LP implementation in the Fourth Industrial Revolution era.
dc.fechaingreso.objetodigital2014-07-17
dc.fuente.origenORCID
dc.identifier.doi10.1080/00207543.2024.2368698
dc.identifier.eissn1366-588X
dc.identifier.issn0020-7543
dc.identifier.scopusidSCOPUS_ID:2-s2.0-85197569023
dc.identifier.urihttps://doi.org/10.1080/00207543.2024.2368698
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/87094
dc.identifier.wosidWOS:001260274200001
dc.information.autorucEscuela de Ingeniería; Mac Cawley Vergara, Alejandro Francisco; 0000-0002-4848-4732; 81775
dc.language.isoen
dc.nota.accesocontenido completo
dc.publisherTaylor & Francis Ltd.
dc.revistaInternational Journal of Production Research
dc.rightsacceso abierto
dc.rights.licenseATTRIBUTION-NONCOMMERCIAL-NODERIVATIVES 4.0 INTERNATIONAL
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectArtificial intelligence
dc.subjectIndustry 4.0
dc.subjectLean production
dc.subjectEmployees' engagement
dc.subjectWork environment
dc.subject.ddc650
dc.subject.deweyAdministraciónes_ES
dc.subject.ods12 Responsible consumption and production
dc.subject.odspa12 Producción y consumo responsable
dc.titleHow does artificial intelligence impact employees' engagement in lean organisations?
dc.typeartículo
sipa.codpersvinculados81775
sipa.trazabilidadWOS;2024-07-13
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