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Risk management in double unknown : theory, model and organization for the design of generic technologies

Abstract : Can a company organize development with controlled risk while promising markets and eligible technologies are yet unknown? These situations cannot be handled with classical techno push or market pull strategies; and "trial and learning" processes are too unpredictable and too costly while facing with unknowns in high-tech. However, in some industries such as semiconductors, one has to organize exploration while controlling costs and risks in double unknown. In this situation the success of technological development in double unknown is correlated with the existence of generic technologies. Though, it remains unclear how to account for the design of generic technologies. This thesis models the design of generic technologies and investigates the associated models of collective action.This work is based on four main results:1) an original model of risk management that consists of identifying “common unknown” for several potential applications; 2) the modeling and simulation defining the techno-economic conditions in which the introduced “common unknown” strategy is relevant; 3) The characterization of the notion of generic technological concepts and the process of genericity design built upon the most recent design theory formalisms ; 4) a new managerial figure, the «cross-application manager », essential for the success of generic technologies design.
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Submitted on : Wednesday, July 23, 2014 - 10:24:47 AM
Last modification on : Wednesday, November 17, 2021 - 12:31:19 PM
Long-term archiving on: : Tuesday, November 25, 2014 - 1:35:16 PM


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  • HAL Id : pastel-01038009, version 1


Olga Kokshagina. Risk management in double unknown : theory, model and organization for the design of generic technologies. Business administration. Ecole Nationale Supérieure des Mines de Paris, 2014. English. ⟨NNT : 2014ENMP0009⟩. ⟨pastel-01038009⟩



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