Letizia Mortara
Letizia Mortara is a Lecturer at the University of Cambridge and a Senior Fellow at Newnham College, Cambridge. She is a recognised expert in technology intelligence and open innovation and Associate Editor for the R&D Management journal.
Her specific research interests include technology intelligence (i.e. activity set-up in order to keep abreast with the latest developments in technology) open innovation, and the advent of digital fabrication technologies in manufacturing (e.g. 3D printing) and their implications for business.
Research interests: Innovation and technology management, open innovation, technology intelligence and strategic tools, manufacturing
EINST4INE projects:
ESR6: Integration of virtual or augmented reality tools with human decision-making approaches for technology strategy
ESR7: Integration of ‘digitally-’ and ‘socially-’ driven decision-making approaches in contemporary industries
EINST4INE: The European Training Network for InduStry Digital Transformation across Innovation Ecosystems
Einst4ine (at) rmit.edu.au
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956745. Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956745.
Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.