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Main Authors: Rodríguez, Nestor, Heitzmann, Robert, Guillén, Andrea, Maughfling, Ed, Fernández, Jose, De León, Ana, Ullrich, C, Sekula-Neuner, Sylwia
Format: Recurso digital
Language:English
Published: Zenodo 2024
Online Access:https://doi.org/10.5281/zenodo.14917038
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author Rodríguez, Nestor
Heitzmann, Robert
Guillén, Andrea
Maughfling, Ed
Fernández, Jose
De León, Ana
Ullrich, C
Sekula-Neuner, Sylwia
author_facet Rodríguez, Nestor
Heitzmann, Robert
Guillén, Andrea
Maughfling, Ed
Fernández, Jose
De León, Ana
Ullrich, C
Sekula-Neuner, Sylwia
contents <p>This report, Deliverable 3.2 of the IMPAC3T-IP project, presents case studies analysing the novel use of technology in IP licensing and identifies good practice transfer paths for those seeking to adopt them. It builds on findings from Deliverable 3.1, which highlighted opportunities for automation and process improvement through digital tools. </p> <p>The 11 case studies focus on specific tools within seven technology clusters, including AI-driven contract drafting, blockchain-based smart contracts, secure data sharing, and business intelligence. Sourced from company interactions, published materials, and user interviews, they illustrate real-world applications and best practices.</p> <p>By highlighting successful implementations and viable transfer paths, this report supports organisations in adopting technology for more efficient and scalable IP licensing.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_14917038
institution Zenodo
language eng
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle Case Studies and Good Practice transfer paths in IP licensing
Rodríguez, Nestor
Heitzmann, Robert
Guillén, Andrea
Maughfling, Ed
Fernández, Jose
De León, Ana
Ullrich, C
Sekula-Neuner, Sylwia
<p>This report, Deliverable 3.2 of the IMPAC3T-IP project, presents case studies analysing the novel use of technology in IP licensing and identifies good practice transfer paths for those seeking to adopt them. It builds on findings from Deliverable 3.1, which highlighted opportunities for automation and process improvement through digital tools. </p> <p>The 11 case studies focus on specific tools within seven technology clusters, including AI-driven contract drafting, blockchain-based smart contracts, secure data sharing, and business intelligence. Sourced from company interactions, published materials, and user interviews, they illustrate real-world applications and best practices.</p> <p>By highlighting successful implementations and viable transfer paths, this report supports organisations in adopting technology for more efficient and scalable IP licensing.</p>
title Case Studies and Good Practice transfer paths in IP licensing
url https://doi.org/10.5281/zenodo.14917038