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dc.contributor.authorNoriega, Salvador
dc.date.accessioned2018-12-14T18:57:22Z
dc.date.available2018-12-14T18:57:22Z
dc.date.issued2018-10-10
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/5006
dc.description.abstracthe business environments of the globalized economy present increasing complexity, under highly variable conditions of volatility, risk and uncertainty which exert intense pressures to organizations and confronts thern, with increasing frequency, to disruptive and unexpected events. Sorne organizations develop a resilience profile to increase the capacity to anticípate, adapt and recover equilibrium or even, gain a new advantage position after the disruption. This paper is about the determination of the factors of organizational resilience and the developrnent of a structural equation model. The first section presents the background, the description of the problem and a literature search of the resilience factors and their classification. The Methodology section explains the development of a questionnaire based in those factors, which was applied for the determination of the relative importance of the factors in several industrial sectors. The questionnaire was validated with the Cronbach alpha index and then was applied in a sample of rnanufacturing cornpanies of the twin plant industry of Ciudad Juarez, México. By means of a Partial Least Squares Structural Equation Modeling Approach, a structural model was developed and identified the key "driver" factors related to the developrnent of Organizational Resilience. The section of results describes the model and in the last section, the conclusions are discussed.es_MX
dc.description.urihttp://ieworldconference.org/pages/SISE2018.htmles_MX
dc.language.isoen_USes_MX
dc.publisherSISEes_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/mx/*
dc.subjectSupply Chain Managementes_MX
dc.subjectFactor Analysis,es_MX
dc.subjectPath Analysises_MX
dc.subjectPredictor modelses_MX
dc.subject.otherinfo:eu-repo/classification/cti/7es_MX
dc.titlePredictor Model of the Supply Chain Effectiveness Based on Critical Success Factorses_MX
dc.typeMemoria in extensoes_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.alcanceInternacionales_MX
dcrupi.paisEstados Unidos de Américaes_MX
dc.contributor.coauthorMartínez, Erwin
dc.contributor.coauthorTorres, Vianey
dc.contributor.coauthorHernández, Andrés
dcrupi.tipoeventoCongresoes_MX
dcrupi.evento7th Annual World Conference ofthe Society for Industrial and Systems Engineeringes_MX
dcrupi.estadoNueva Yorkes_MX
dc.lgacTECNOLOGÍA, COMPETITIVIDAD Y COMPLEJIDADes_MX
dc.cuerpoacademicoPlaneación Tecnológica y Diseño Ergonómicoes_MX


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