Study goals
To understand the technological evolution of bioethanol through patent analysis, identifying innovation routes and the flow of knowledge, in order to guide research, development and innovation strategies in the renewable energy sector.
Relevance / originality
The study innovates by integrating network analysis techniques and technological trajectory algorithms, overcoming fragmented approaches to patents. It reveals connections between innovations and identifies strategic trends in the sustainable development of bioethanol on a global scale.
Methodology / approach
The CRISP-DM model was used to guide the collection and analysis of cited patents. Social Network Analysis (SNA) and the SPLC algorithm were applied, mapping technological routes based on the influence of the most cited patents in the sector.
Main results
An integrated technological route focused on fermentation and microorganism engineering was identified. Companies from the USA and Europe lead the way in filings, with strong international protection. The patents reveal trends and leaders that guide strategic decisions in innovation and sustainability.
Theoretical / methodological contributions
The research proposes a replicable approach that combines quantitative and structural techniques, promoting systemic analysis of patent data. It contributes theoretically by broadening the understanding of innovation networks and technological evolution in strategic sectors.
Social / management contributions
The approach supports public policies and research and development (R&D) decisions by indicating key technologies for the energy transition. It also guides patenting, investment attraction and sustainable development strategies, with potential application in other technology sectors.