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.
Fields of science
Funding SchemeERC-ADG - Advanced Grant
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