In the last few years, Elena Novelli, Alfonso Gambardella and Arnaldo Camuffo at Bocconi University (and colleagues from other institutions around the world), have been running a series of randomised controlled trials (RCTs) to understand the impact on entrepreneurial performance of teaching entrepreneurs to operate like scientists when making decisions.
In our previous blog post, we were talking to Doug Scott, Chair of Cavendish Enterprise, about what he learned from leading a randomised trial of the Business Boost scheme, carried out under the UK Government’s Business Basics Programme. In this post, we continue our conversation with Doug, this time focusing on how funders can best manage experimentation funds and ensure that they produce learning that leads to better policy decisions.
In a recent post, we highlighted the findings from the randomised trial of the Business Boost project, carried out by Cavendish Enterprise in collaboration with the Enterprise Research Centre. Since this was the first randomised trial to be completed under the UK Government’s Business Basics Programme, it was a learning process for the implementers, the evaluators, and for us in the Innovation Growth Lab (IGL). Together with a colleague from the UK Department for Business, Energy and Industrial Strategy, we recently chatted with Doug Scott, Chair of Cavendish Enterprise and the instigator of the Business Boost trial, to find out what he had learned during the process.
What comes first to mind when we hear the words “technology adoption”? Answers tend to range widely, from a new machine, to a resistant seed variety, to an online payment method, but they rarely include organisational practices. However, besides using new inputs or processes for the production of goods and the delivery of services, we can also improve firm productivity by changing its “management technology”.
Technology adoption is deeply intertwined with growth and productivity: differences in the speed with which technologies diffuse can explain a large share of the differences in wealth between countries.
