Publicação
Ai powered transparency: advancing csrd compliance in the fashion industry reporting - methodology, research findings, market research & opportunity analysis
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Zejnilovic, Leid | |
| dc.contributor.advisor | Mestrinho, Lénia | |
| dc.contributor.author | Romagnolo, Chiara | |
| dc.date.accessioned | 2024-11-19T10:57:53Z | |
| dc.date.available | 2024-11-19T10:57:53Z | |
| dc.date.issued | 2024-01-24 | |
| dc.date.submitted | 2023-12-18 | |
| dc.description.abstract | This study explores the feasibility of implementing an AI-driven platform tailored for sustainability reporting within the fashion industry, with a particular emphasis on adhering to the Corporate Sustainability Reporting Directive (CSRD). Adopting a qualitative research methodology, the study delves into assessing the market potential, technological feasibility, and profit opportunity of the proposed solution. The findings indicate that the business solution is viable across these key domains. Furthermore, the study offers a detailed business plan related to the envisioned AI platform. | pt_PT |
| dc.identifier.tid | 203605195 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/175486 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | Ai-driven sustainability | pt_PT |
| dc.subject | Ai in sustainability reporting | pt_PT |
| dc.subject | Fashion industry reporting | pt_PT |
| dc.subject | Corporate sustainability reporting directive (Csrd) | pt_PT |
| dc.subject | Greenwashing prevention | pt_PT |
| dc.subject | Fashion industry compliance | pt_PT |
| dc.subject | Sustainability data analysis | pt_PT |
| dc.title | Ai powered transparency: advancing csrd compliance in the fashion industry reporting - methodology, research findings, market research & opportunity analysis | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in Impact Entrepreneurship and Innovation from the Nova School of Business and Economics. | pt_PT |