Antecedents and drivers of Net-Zero Technologies using web scraping: an empirical analysis from Italian corporate websites
| dc.contributor.author | Cucculelli, Marco | es_ES |
| dc.contributor.author | Giampaoli, Noemi | es_ES |
| dc.contributor.author | Renghini, Matteo | es_ES |
| dc.coverage.spatial | east=12.56738; north=41.87194; name=Viale Palmiro Togliatti, 485, 00172 Roma RM, Italia | |
| dc.date.accessioned | 2026-07-21T17:33:54Z | |
| dc.date.available | 2026-07-21T17:33:54Z | |
| dc.date.issued | 2026/03/13 | |
| dc.description.abstract | [EN] The Net Zero Industry Act (NZIA) represents a breakthrough in fostering innovation and green transition among firms. However, information on companies adopting technologies related to the NZIA framework is not readily available, making it necessary to rely on unstructured database and web-scraping techniques to identify them. This paper proposes the use of commercial websites to detect NZIA-related technologies. First, we demonstrate how websites can be leveraged to identify companies involved NZIA technologies. Second, we explore the antecedents and drivers that influence the likelihood of NZIA technologies adoption. Third, we distinguish between companies producing and companies using NZIA technologies. This approach offers a bottom-up perspective that can support policymakers in mapping relevant industrial ecosystems, while also highlighting the value of advanced NLP techniques in economic and business research. | es_ES |
| dc.description.accrualMethod | OCS | es_ES |
| dc.description.upvformatpfin | 56 | |
| dc.description.upvformatpinicio | 49 | |
| dc.format.extent | 8 | |
| dc.identifier.doi | 10.4995/CARMA2025.2025.20497 | es_ES |
| dc.identifier.isbn | 9788413963136 | es_ES |
| dc.identifier.uri | https://riunet.upv.es/handle/10251/237635 | |
| dc.language | Inglés | es_ES |
| dc.publisher | Editorial Universitat Politècnica de València | es_ES |
| dc.relation.conferencedate | Julio 02-04, 2025 | es_ES |
| dc.relation.conferencename | CARMA 2025 - 7th International Conference on Advanced Research Methods and Analytics | es_ES |
| dc.relation.conferenceplace | Italia | es_ES |
| dc.relation.ispartof | Proceedings of the 7th International Conference on Advanced Research Methods and Analytics (CARMA 2025) | |
| dc.relation.pasarela | OCS\20497 | es_ES |
| dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2025/paper/view/20497 | es_ES |
| dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
| dc.rights.accessRights | Abierto | es_ES |
| dc.subject | Web data | |
| dc.subject | Innovation | |
| dc.subject | NZIA | |
| dc.subject | Web Scraping | |
| dc.subject | Unconventional data | |
| dc.subject | Corporate websites | |
| dc.title | Antecedents and drivers of Net-Zero Technologies using web scraping: an empirical analysis from Italian corporate websites | es_ES |
| dc.type | Comunicación en congreso | es_ES |
| dc.type | Capítulo de libro | es_ES |
| dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
| upv.uuid | 39445b11-0610-4378-b135-a7ceacad24cb | es_ES |
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