Selecting profitable investment projects
The main advantage of technology roadmapping is that, through the insight it gives, it helps managers make better technology investment decisions. Technology roadmapping is critical when there are multiple options and it is not clear which one to pursue. One of the key components of innovating is knowing which projects will be profitable in the end and which ones will not. There is no point in investing in ideas that won't pay-off in the end. So how do you select this right project? It is important to understand the key variables that create risk and help identify the true value drivers.
As an example, read out case-study on selecting profitable investment projects.
Commercialising research results
Commercialising research results, or exploitation of IP as it is sometimes called, it a challenge that many research institutes and industry struggle with. Often a "one size fits all" model is selected. For some companies and institutions this will be a model that will work, especially if the research is focused around a specific theme and the results are consistently the same kind of output, e.g. biomarkers. However, for many organistations a "one size fits all" model will not offer the best chances of turning new insights and/or technologies into new products and successfully bring these to the market.
To give an example, research that results in a lot of data will require a different approach to monetizing the output than the discovery of biomarkers. Biomarkers will often lead to new products which can be commercialised whereas a data collection on how patients' blood values before and after a certain treatment is an asset of value in itself.
Collaborative models for Industry
Firms are always looking to develop and improve their products and services. Innovation in the broadest sense. But how to maximize your internal knowledge and talent with that of the outside world? Collaborative innovation aims to maximize the collective intelligence.
The models we develop are dedicated to maximizing collective intelligence by sharing knowledge. This requires a degree of trust and sound ethical principles from parties involved.
As an example, Gunn & Twynmore's Collaborative Tech Transfer model for universities and industry has successfully been implemented in various places, giving us the experience to customize such models to your needs.