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Bruce C. Arntzen. Buscher, Stephanie Ann Poyato Ayuso, Ángel Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division 2015-11-09T19:50:07Z 2015-11-09T19:50:07Z 2015 2015 http://hdl.handle.net/1721.1/99807 927169283 Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 50-52). Natural disasters such as the earthquake and subsequent tsunami that hit Japan in 2011 can have catastrophic effects on businesses. This type of unexpected event can cause millions of dollars in damages, lost sales and can impact company stock performance. With 39% of supply disruptions occurring at indirect suppliers, companies can no longer ignore their supply networks when determining supply chain risk. Unlike measuring risk within a single company, measuring the risk of a network requires collaboration amongst all players. This research aims to mitigate the complexity of data collection through the understanding of the factors that influence supply chain risk data collection. Factors vary throughout different players in the networks. Internally, supply chain transparency must be indoctrinated in the culture of the executing company. Necessary parties must be well informed and incentivized to take part in this labor intensive exercise. By indoctrinating transparency into the culture, companies legitimize this initiative to both employees and suppliers. Through a series of conversations held with suppliers, the research conducted in this thesis identifies the internal and external factors that determine success in supply chain risk data collection. Keywords: Supply chain risk management, supply chain transparency, data collection, vendor collaboration. by Stephanie Ann Buscher and Angel Poyato Ayuso. M.Eng. in Logistics 52 pages eng Massachusetts Institute of Technology 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 Engineering Systems Division. Factors influencing tier 2 supply chain risk data collection Factors influencing tier two supply chain risk data collection Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="856f8c00-de5e-4b46-bb31-4260b1616948"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Factors influencing tier 2 supply chain risk data collection</Title> <Subtitle>Factors influencing tier two supply chain risk data collection</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2015</PublicationDate> <Authors> <Author> <DisplayName>Buscher, Stephanie Ann</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Poyato Ayuso, Ángel</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Engineering Systems Division.</Keyword> <Abstract>Natural disasters such as the earthquake and subsequent tsunami that hit Japan in 2011 can have catastrophic effects on businesses. This type of unexpected event can cause millions of dollars in damages, lost sales and can impact company stock performance. With 39% of supply disruptions occurring at indirect suppliers, companies can no longer ignore their supply networks when determining supply chain risk. Unlike measuring risk within a single company, measuring the risk of a network requires collaboration amongst all players. This research aims to mitigate the complexity of data collection through the understanding of the factors that influence supply chain risk data collection. Factors vary throughout different players in the networks. Internally, supply chain transparency must be indoctrinated in the culture of the executing company. Necessary parties must be well informed and incentivized to take part in this labor intensive exercise. By indoctrinating transparency into the culture, companies legitimize this initiative to both employees and suppliers. Through a series of conversations held with suppliers, the research conducted in this thesis identifies the internal and external factors that determine success in supply chain risk data collection. Keywords: Supply chain risk management, supply chain transparency, data collection, vendor collaboration.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>