Recently socio-hydrology models have been proposed to analyze the interplay of community risk-coping culture, flooding damage and economic growth. These models descriptively explain the feedbacks between socio-economic development and natural disasters such as floods. Complementary to these descriptive models, we develop a dynamic optimization model, where the inter-temporal decision of an economic agent interacts with the hydrological system. We assume a standard macro-economic growth model where agents derive utility from consumption and output depends on physical capital that can be accumulated through investment. To this framework we add the occurrence of flooding events which will destroy part of the capital. We identify two specific periodic long term solutions and denote them rich and poor economies. Whereas rich economies can afford to invest in flood defense and therefore avoid flood damage and develop high living standards, poor economies prefer consumption instead of investing in flood defense capital and end up facing flood damages every time the water level rises like e.g. the Mekong delta. Nevertheless, they manage to sustain at least a low level of physical capital. We identify optimal investment strategies and compare simulations with more frequent, more intense and stochastic high water level events.

Purpose – The presented research aims to explain, describe and analyze the process of dynamic strategy development in high growth firms. Accordingly the research seeks to investigate how dynamic strategies are used within high growth firms and how strategic learning affects the process. Design/methodology/approach – The authors presents a review of theoretically relevant studies of high growth related to strategy, and two original studies examining the impact of dynamic strategy on high growth. A theoretical framework for the study of dynamic strategy processes is developed. The study comprehends eight interviews divided over five high growth firms, where high growth is defined by the OECD (2008) standard. Findings – In the study, the researchers finds significant evidence for the active and deliberate use of dynamic strategy in the high growth firms of the study. The implication of strategic learning on the dynamic strategies is found to be substantial. The findings shows that dynamic strategy development are used to a large extent and considered vital for achieving growth within in the high growth firms of the study. Research/theoretical implications/limitations – The findings demonstrate that dynamic strategy development is actively used in high growth phases of the firms studied. This has implications on the extension of previous research, as it shows the actual use of dynamic strategy and further emphasizes the importance of strategic learning within this process. With the important limitation that the study is considered too small to generalize over a larger population, which implies that further research on the subject is needed. Managerial implications – The findings provide guidelines for managers of how to handle strategy development in high growth, however due to the previous limitation this is presented as the way the high growth firms within this study handles this development. The guidelines could be used by anyone in managerial positions, thus increasing the understanding of how high growth firms handle strategy.

Le Centre Technique des Industries Mécaniques constitue l’un des centres de compétences technologiques des Industries Mécaniques. Sa problématique est de déterminer le processus de management de la technologie nécessaire à sa mission d’appui à l’innovation.Après avoir caractérisé la mécanique dans une approche méso-économique, nous proposons un modèle d'activités du Centre de Compétences Technologiques, illustré par le modèle du Cetim. Sur cette base, le management de l'innovation est analysé comme la formalisation opérationnelle de la mission d’appui à l’innovation technologique du territoire technologique et géographique du Centre de Compétences Technologiques, à partir de l'outillage et des processus du management de la technologie.Le processus conduisant de l’idée au produit est décrit par 3 étapes : la formalisation de l’idée à l’objet, la faisabilité de l’idée vis-à-vis d’une première cible de marché et l’industrialisation. Ce modèle séquentiel a été complété par une modélisation globale reliant la stratégie avec la mise en oeuvre des projets d’innovation qui la concrétisent.Le processus de R&D comporte 4 étapes d’un cycle itératif : marketing technologique, gestion du portefeuille technologique, production de R&D et valorisation. Des indicateurs permettent d’évaluer les performances sur les 4 axes du modèle d’activités en s’appuyant sur la codification des projets d’innovation. Cette dernière peut être aussi utilisée pour suivre les évolutions du coeur de compétence. / The Technical Centre of Mechanical Engineering is one of the centres of technological competence in the Mechanical Industry. Its objective is to identify the process of management of the technology needed for its activity in innovation support.After having characterised mechanical industry in a meso economic approach, we propose a model of activity of the technological competence centre, illustrated by the Cetim example. On this basis, innovation management is analysed as a formalised operational process of the innovation support activity in the geographical and technological territory of the technological competence centre, using tools and processes of technology management.The process from idea to finished product is split into 3 steps: idea to object conception, feasibility regarding a first market target and industrialisation. This sequential model was completed by a global model which linked strategy to the implementation of an innovated project.R&D process is composed of 4 steps of a repeated cycle: technological marketing, management of the project portfolio, R&D production and enhanced value. Indicators help in evaluating performance on the 4 axes of the activity model using codification of innovation projects in the information system. This can be also used to follow core competence evolution.