Reclassifying Innovation for Biodiversity: A Patent-Based Framework to Monitor Green and Pervasive Technologies (notice n° 1543943)
[ vue normale ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01886cam a2200229 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251012024439.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | d'Angelo, Viviana |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Reclassifying Innovation for Biodiversity: A Patent-Based Framework to Monitor Green and Pervasive Technologies |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2025.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 50 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Existing patent classification systems often overlook the full spectrum of green and environmentally relevant technologies – especially pervasive technologies not originally designed for ecological purposes. This paper presents a novel methodological framework to identify, and classify both clean and pervasive technologies with relevance to biodiversity innovation. The approach combines the analysis of international patent data with machine learning techniques to enhance the accuracy and granularity of classification. In a two-step process, the study first identifies key biodiversity-related technologies and their corresponding IPC classes, and then maps innovation activity and geographic trends using patent-based indicators. By addressing limitations in existing international patent classification schemes, the framework enables more accurate ESG assessments and better-informed sustainability policies and investments. Ultimately, this work provides data-driven tools for tracking biodiversity-related technological progress, supporting robust ESG disclosure and strategic decision-making across sectors. |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Biodiversity Innovation |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | ESG |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Machine Learning |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Patent Classification |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tuzi, Fabrizio |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Filippetti, Andrea |
| Relator term | author |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Innovations | hors-série | HS1 | 2025-10-10 | p. 38-38 | 1267-4982 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://shs.cairn.info/journal-innovations-2025-HS1-page-38?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-innovations-2025-HS1-page-38?lang=en&redirect-ssocas=7080</a> |
Pas d'exemplaire disponible.
Réseaux sociaux