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Predictor Model of the Supply Chain Effectiveness Based on Critical Success Factors
dc.contributor.author | Noriega, Salvador | |
dc.date.accessioned | 2018-12-14T18:57:22Z | |
dc.date.available | 2018-12-14T18:57:22Z | |
dc.date.issued | 2018-10-10 | |
dc.identifier.uri | http://cathi.uacj.mx/20.500.11961/5006 | |
dc.description.abstract | he 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.uri | http://ieworldconference.org/pages/SISE2018.html | es_MX |
dc.language.iso | en_US | es_MX |
dc.publisher | SISE | es_MX |
dc.relation.ispartof | Producto de investigación IIT | es_MX |
dc.relation.ispartof | Instituto de Ingeniería y Tecnología | es_MX |
dc.rights | Atribución-NoComercial-SinDerivadas 2.5 México | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/mx/ | * |
dc.subject | Supply Chain Management | es_MX |
dc.subject | Factor Analysis, | es_MX |
dc.subject | Path Analysis | es_MX |
dc.subject | Predictor models | es_MX |
dc.subject.other | info:eu-repo/classification/cti/7 | es_MX |
dc.title | Predictor Model of the Supply Chain Effectiveness Based on Critical Success Factors | es_MX |
dc.type | Memoria in extenso | es_MX |
dcterms.thumbnail | http://ri.uacj.mx/vufind/thumbnails/rupiiit.png | es_MX |
dcrupi.instituto | Instituto de Ingeniería y Tecnología | es_MX |
dcrupi.cosechable | Si | es_MX |
dcrupi.subtipo | Investigación | es_MX |
dcrupi.alcance | Internacional | es_MX |
dcrupi.pais | Estados Unidos de América | es_MX |
dc.contributor.coauthor | Martínez, Erwin | |
dc.contributor.coauthor | Torres, Vianey | |
dc.contributor.coauthor | Hernández, Andrés | |
dcrupi.tipoevento | Congreso | es_MX |
dcrupi.evento | 7th Annual World Conference ofthe Society for Industrial and Systems Engineering | es_MX |
dcrupi.estado | Nueva York | es_MX |
dc.lgac | TECNOLOGÍA, COMPETITIVIDAD Y COMPLEJIDAD | es_MX |
dc.cuerpoacademico | Planeación Tecnológica y Diseño Ergonómico | es_MX |
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