Description du projet
Modèles testés par les données en faveur de la gestion de l’innovation
Il existe de solides preuves que les gestionnaires et les entrepreneurs ne disposent pas de méthodes adéquates pour prendre des décisions dans un climat d’incertitude, ce qui compromet l’innovation et le succès de nombreuses jeunes entreprises. Le projet SAIM, financé par l’UE, cherchera à déterminer si une approche scientifique fondée sur la formulation de modèles testés par les données permet d’améliorer la capacité de prise de décision des gestionnaires et des entrepreneurs. Le projet élaborera un cadre qui explique les mécanismes et les incidences de cette méthode et les testera dans le cadre d’un essai de contrôle randomisé à grande échelle sur six sites internationaux. L’objectif est de montrer qu’une telle approche améliore les performances et les résultats: les projets voués à l’échec sont interrompus plus tôt et il est plus facile d’apporter des changements à un projet en interprétant les signaux. Le programme SAIM modifiera, à terme, la perception de la gestion de l’innovation et de l’entrepreneuriat.
Objectif
There is strong evidence that managers and entrepreneurs have poor methods to make decisions under uncertainty. This is a serious problem that discourages innovation and the success of many start-ups. At the aggregate level it sties economic growth and the returns from many public and private incentives to innovation or entrepreneurship. This project studies whether managers and entrepreneurs can improve their ability to make these decisions by adopting a scientic approach based on the formulation of models tested with data, such as scientists do. The project develops a framework that explains the mechanisms and implications of this approach, and tests them through a large-scale RCT in six international sites. The framework shows that a scientic approach improves performance by pursuing valuable innovations and by terminating unsuccessful projects earlier. It also helps decision-makers to interpret signals: in particular, they understand better how to change a project in response to negative signals. The RCT tests mechanisms and performance of the scientic approach against current practice in innovation management, and its coverage ensures a good assessment of its validity across contexts and conditions. The results of this RCT are potentially ground-breaking because they can: (i) change the way we think innovation management and entrepreneurship; (ii) encourage the practical application of many economic and managerial theories ignored by managers or entrepreneurs in spite of their practical prescriptions; (iii) help to rethink the curricula of business schools by making a scientic approach to management more prominent and by revamping the application of economic and managerial theories; (iv) improve the mentorship of the many public and private initiatives that support innovation and entrepreneurship worldwide.
Champ scientifique
Programme(s)
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Régime de financement
ERC-ADG - Advanced GrantInstitution d’accueil
20136 Milano
Italie