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dc.contributor.authorDíaz Reza, José Roberto
dc.date.accessioned2019-01-17T19:30:49Z
dc.date.available2019-01-17T19:30:49Z
dc.date.issued2019
dc.identifier.isbn978-3-319-99189-4es_MX
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/6572
dc.description.abstractThis chapter proposes a structural equation model to analyze four latent variables: internal knowledge transfer, external knowledge transfer, supply chain flexibility, and supply chain performance. These variables are interrelated through three research hypotheses. The model is validated with data obtained through a questionnaire that was administered to 269 Mexican manufacturing companies. Then, the hypotheses are tested at a 95% confidence level using partial least squares. The results indicate that internal knowledge transfer has the most important direct effect on supply chain flexibility and the highest indirect effect on supply chain performance.es_MX
dc.language.isoen_USes_MX
dc.publisherSpringer International Publishinges_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.subjectKnowledge transfer - Structural equation modeling - Supply chaines_MX
dc.subject.otherinfo:eu-repo/classification/cti/7es_MX
dc.titleThe role of knowledge transfer in supply chain flexibility and performancees_MX
dc.typeCapítulo de libroes_MX
dcterms.thumbnailhttp://ri.uacj.mx/vufind/thumbnails/rupiiit.pnges_MX
dcrupi.institutoInstituto de Ingeniería y Tecnologíaes_MX
dcrupi.cosechableSies_MX
dcrupi.subtipoInvestigaciónes_MX
dcrupi.nopagina465-485es_MX
dcrupi.alcanceInternacionales_MX
dcrupi.paisSwitzerlandes_MX
dc.contributor.coauthorCanales Valdiviezo, Ismael
dc.lgacSin línea de generaciónes_MX
dc.cuerpoacademicoSin cuerpo académicoes_MX
dcrupi.titulolibroBest Practices in Manufacturing Processeses_MX


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