Project description
Data-tested models for innovation management
There is strong evidence that managers and entrepreneurs lack appropriate methods to make decisions under uncertainty. Consequently, the innovation and success of many start-ups are undermined. The EU-funded SAIM project will study whether a scientific approach based on the formulation of data-tested models can improve the decision-making ability of managers and entrepreneurs. The project will develop a framework that explains the mechanisms and implications of this method and tests them through a large-scale randomised control trial in six international sites. The aim is to show that such an approach improves performance and outcome: unsuccessful projects are terminated earlier and changing a project by interpreting signals becomes easier. SAIM will ultimately change innovation management and entrepreneurship perception.
Objective
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.
Fields of science
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Funding Scheme
ERC-ADG - Advanced GrantHost institution
20136 Milano
Italy