Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2010. / Cataloged from PDF version of thesis. / Includes bibliographical references (p. 73). / There 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. / by Nuno Miguel Mendes Toste Dinis. / M.Eng.in Logistics
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/61182 |
| Date | January 2010 |
| Creators | Mendes Toste Dinis, Nuno Miguel |
| Contributors | Bruce Arntzen., Massachusetts Institute of Technology. Engineering Systems Division., Massachusetts Institute of Technology. Engineering Systems Division. |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 85 p., application/pdf |
| Rights | M.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., http://dspace.mit.edu/handle/1721.1/7582 |
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