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dc.contributor.advisorBruce Arntzen.en_US
dc.contributor.authorMendes Toste Dinis, Nuno Miguelen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2011-02-23T14:25:38Z
dc.date.available2011-02-23T14:25:38Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/61182
dc.descriptionThesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 73).en_US
dc.description.abstractThere is no doubt that the 21st century is the century of globalization. The great majority of companies' supply chains span multiple countries, cultures, and industries. However people in different parts of the globe perceive supply chain risks differently. Is it possible to predict the way people manage their supply chain in terms of prevention versus response, based on demographics? Using a large-scale worldwide, online survey as a base, conducted by the MIT Global SCALE Initiative, this research project analyzes the relationship between a dependent variable (Prevention vs. Response) and independent variables (demographics). The analysis shows that there are indeed demographic factors that can help predict how people manage supply chain risk. The following demographic factors need to be known: country of origin, gender, primary field of study, and job function.en_US
dc.description.statementofresponsibilityby Nuno Miguel Mendes Toste Dinis.en_US
dc.format.extent85 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.titleImpact of demographics on supply chain risk management attitudes : prevention vs responseen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.identifier.oclc699819507en_US


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