The exploration of attributes aligning supply chain strategy & resilience execution
Name
898124558-MIT.pdf
Description
Full printable version
Size
9.44 MB
Format
Adobe PDF
Checksum (MD5)
81edddd85bdb55038969e989fec57813
Author(s)
Cope, Alexander Randon
Yuan, Liqing
Advisor(s)
James Blayney Rice, Jr.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
This research aims to characterize and measure hierarchical, functional and geographical alignment within an organization in an effort to understand the individual's attributes of resilience within the broader organization's business strategy. In partnership with a multinational chemicals manufacturer, data was collected from product supply organizations through interviews, surveys and case discussions, in an effort to understand resilience awareness and strategic alignment. The results are primarily used to quantify differences between strategic direction set by executives and the tactical execution of individual contributors. Secondary analysis examines correlations in responses, and further compares results by segmenting respondents by level within the organization, tenure with the company, functional role and cultural background. Data collected through this study identifies a difference between the attitudes and perceptions of executives and those of individual contributors. Understanding this misalignment is important as external research has found that there can be a permanent market capitalization loss of 5-10% after an announcement of a major supply disruption. Whether the disruption is due to a geological event or a political uprising, being prepared to respond to such disruptions is critical in today's complex business environment. Corporate culture, strategy, and people are the fundamental building blocks to ensuring alignment across all levels of an organization, enabling a unified, systematic and effective approach when responding to supply disruptions.
Description
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 57-58).
Subjects
Engineering Systems Division.
MIT Department
Massachusetts Institute of Technology. Engineering Systems Division
Terms of Use
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