2026-09-18T20:51:07Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1114742022-01-13T07:54:52Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Duncan Simester.
Ghazaryan, Artavazd
Sloan School of Management.
Sloan School of Management
2017-09-15T15:35:46Z
2017-09-15T15:35:46Z
2017
2017
http://hdl.handle.net/1721.1/111474
1003322011
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 32-35).
Understanding the evolution of a firm's competitive advantage in a changing environment over time remains one of the most important topics in competitive strategy. We build on a recent stream of research in the arena of the dynamic resource-based view to propose a simple heuristic for strategic corporate foresight powered by Little's Law. Notably, we propose a throughput equality required to align and synchronize resources in the value chain. We borrow the terminology of the supply/demand chain and assembly process representation to propose a fundamental construct for manifold decomposition of the value chain. Our proposed heuristic simplifies the dynamic complexity of the value chain.
by Artavazd Ghazaryan.
M.B.A.
35 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management.
The physics of the value chain towards a dynamic theory of strategy
Thesis
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