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dc.contributor.authorGarcía-Alcaraz, Jorge Luis
dc.date.accessioned2019-12-06T19:36:17Z
dc.date.available2019-12-06T19:36:17Z
dc.date.issued2019-11-18
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/9070
dc.description.abstractAbstract: Total quality management (TQM) is a lean manufacturing tool that focuses on ensuring the production of goods that meet design specifications and give customer satisfaction, both attractive benefits highly appreciated by managers. However, there are several factors involved in the success of TQM programs, many of which are cultural aspects associated with human resources (HR). This article presents a structural equation model that integrates three latent variables related to internal HR: “managerial commitment,” “employee integration,” and “training and education,” which are linked to the operational benefits of a manufacturing system. The variables are connected through six hypotheses that have been validated with information obtained from 398 responses of a questionnaire applied to manufacturing industry professionals. In addition, a sensitivity analysis was carried out to describe the probabilities of occurrence for the variables at low and high levels. The hypotheses were statistically validated with the partial least squared technique, where the results showed that human factors play an essential role in the success of TQM, since the direct, indirect, and total e ects of managerial commitment, employee integration and training, and education processes on the benefits obtained from the implementation of TQM were statistically significant at 95% confidence.es_MX
dc.language.isoenes_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subject.otherinfo:eu-repo/classification/cti/7es_MX
dc.titleHuman Resource Abilities and Skills in TQM for Sustainable Enterpriseses_MX
dc.typeArtículoes_MX
dcterms.thumbnailhttp://ri.uacj.mx/vufind/thumbnails/rupiiit.pnges_MX
dcrupi.institutoInstituto de Ingeniería y Tecnologíaes_MX
dcrupi.cosechableSies_MX
dcrupi.norevista11es_MX
dcrupi.volumen6488es_MX
dcrupi.nopagina1-22es_MX
dc.identifier.doi10.3390/su11226488es_MX
dc.contributor.coauthorFlor Montalvo, Francisco Javier
dc.contributor.coauthorMartinez Canara, Eduardo
dc.contributor.coauthorPérez de la Parte, María Mercedez
dc.contributor.coauthorJimenez Macias, Emilio
dc.contributor.coauthorBlanco Fernandez, Julio
dc.contributor.coauthorAvelar, Liliana
dc.journal.titleSustainabilityes_MX
dc.lgacOPTIMIZACIÓN DE PROCESOS DE PRODUCCIÓNes_MX
dc.cuerpoacademicoDiseño, Evaluación y Optimización de Procesos y Productos (DEOPP)es_MX


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