: Lessons from entrepreneurial projects

International audienceOne of the major challenges confronted by those in charge of technological innovation involves anticipating the value creation model sufficiently early on,in a highly uncertain context both as far as the technology itself is concerned and the potential market. Today, in many industrial sectors, the innovation boundaries have moved towards projects that are more and more exploratory and fuzzy. The simple optimisation of linear processes of the "stage-gate" type is no longer sufficient to build sustainable competitive advantages. The notion of Business Models, when applied to innovation, enables us to describe how a company creates value through innovation, generally within a business ecosystem, and how the value will be distributed between the actors involved. The authors of this book believe that the notions of Business Modelling and value creation are key to all the dimensions of successful innovation, whether technology, marketing, organisational or economically based. Rethinking Business Models for Innovation: this title describes the relationship between thinking, modelling, and also field-testing. The book is based on a series of nine recent cases of innovation involving company managers, often assisted by researchers (the co-authors of each chapter), and how they built and formalised their Business Models and then tested their strategies. After having discovered the variety of the cases, the reader will understand that every innovation situation generates specific questions about Business Models. However, we feel that we can identify three key issues that arise, more or less, in each of these projects. The chapters in this book build on these issues: the identification of sources of value and revenue models (the notion of value creation), the position of the company in the value-network or ecosystem (the sharing of value) and finally the evolution of Business MoDdels over time (the sustainability and the competitiveness of the company). The last chapter goes over all the contributions, exploring the notion of value in the Business Model approach.L'innovation technologique, qu'elle soit conduite par des start-ups ou par de grandes entreprises, n'est plus une condition suffisante de la création de valeur. Créer de la valeur sur des marchés nouveaux nécessite le plus souvent de repenser l'organisation de l'entreprise, sa façon de faire des affaires, ses partenariats stratégiques, autrement dit, son business model. Cet ouvrage se veut un guide pour les porteurs de projets d'innovation en leur fournissant des outils de compréhension et d'analyse de la dimension stratégique de leur projet. Les études de cas présentées sont le fruit d'une collaboration étroite entre les porteurs de chacun des projets et des chercheurs en management de l'innovation reconnus. Au travers de ces cas, trois grandes problématiques sont abordées : l'identification des sources de valeur chez les clients potentiels, la position que l'entreprise pourra prendre dans son écosystème et enfin l'évolution des business models dans le temps. Sur chacun des cas, le lecteur aura accès à une compréhension fine des problèmes stratégiques posés par l'innovation ainsi que des outils de management mis en œuvre pour aider à réfléchir et à agir. (http://www.rethinkingbusinessmodel.net/

Experimental Evaluation of Growing and Pruning Hyper Basis Function Neural Networks Trained with Extended Information Filter

In this paper we test Extended Information Filter (EIF) for sequential training of Hyper Basis Function Neural Networks with growing and pruning ability (HBF-GP). The HBF neuron allows different scaling of input dimensions to provide better generalization property when dealing with complex nonlinear problems in engineering practice. The main intuition behind HBF is in generalization of Gaussian type of neuron that applies Mahalanobis-like distance as a distance metrics between input training sample and prototype vector. We exploit concept of neuron’s significance and allow growing and pruning of HBF neurons during sequential learning process. From engineer’s perspective, EIF is attractive for training of neural networks because it allows a designer to have scarce initial knowledge of the system/problem. Extensive experimental study shows that HBF neural network trained with EIF achieves same prediction error and compactness of network topology when compared to EKF, but without the need to know initial state uncertainty, which is its main advantage over EKF

Obstacles to Environmental Progress: A U.S. perspective

Why, when so many people understand the severity of environmental problems, is progress so slow and sustainability such a distant goal? What gets in the way? Perhaps you have immediately thought of several barriers. In Obstacles to Environmental Progress, Peter Schulze identifies 18 practical obstacles that routinely and predictably hinder U.S. progress on existing environmental problems. The obstacles apply to problems small and large and, in most cases, regardless of whether an issue is controversial. Though the book focuses on the U.S., most of the obstacles pertain elsewhere as well. The obstacles fall into three categories: scientific challenges to anticipating and detecting problems; political and economic factors that interfere with responding; and obstacles to effective responses. While all the obstacles are predictable and common, they have not been systematically studied as related phenomena, perhaps because they span a wide range of academic disciplines. In practice, they often arise as surprises that are then addressed in an ad hoc manner. Might they be better understood and thus more readily anticipated and overcome or avoided? The book seeks to hasten environmental progress by forewarning and thus forearming those who are striving or will soon be striving for environmental progress, and by drawing scholarly attention to the obstacles as a set of related phenomena to systematically understand and more quickly overcome. Praise for Obstacles to Environmental Progress: ‘I have never come across another book that gives students such an accessible and helpful guide to the broad scope of the challenges facing an environmentally sound and sustainable future.’ Al Wurth, Lehigh University ‘We’ve long needed something like this: a gazetteer for answering the endless series of objections and overcoming the repetitive obstacles that stand between us and the environmental progress we urgently require.’ Bill McKibben, author of The End of Nature and founder of 350.org and Third Ac