dc.contributor.author | Byčenkaitė, Gintarė | |
dc.contributor.author | Burinskienė, Aurelija | |
dc.date.accessioned | 2023-09-18T16:41:20Z | |
dc.date.available | 2023-09-18T16:41:20Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 2029-4441 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/116011 | |
dc.description.abstract | Green technologies have great potential to meet economic sustainability challenges. The purpose of this paper is to review which sectors use the greenest technology and which benefits they are giving. This paper examines which business sectors are using green technologies and how effective they are. The most green technologies are used in the logistics, construction, and information technology sectors. The main factors determining the help of technology are the various problems technology addresses, such as cost increases, lack of human resources, and limited resources. Over 40 articles have been analyzed in this paper, which has led to a scientific literature analysis on technologies in business that have a low environmental impact and contribute to economic growth. The data from Eurostat EIS database collected was structured through a descriptive analysis of the application of green technologies in various business activities using generalization methods. The investigation revealed the benefits and potential that 30 percent of carbon footprint could be reduced by using artificial intelligence (AI) in business. The previous papers discussed the application of AI in one of areas and not covered several different areas, however, this paper summarizes the application of AI practices in different business areas. The study has shown that green technologies offer significant economic and environmental benefits. | eng |
dc.format | PDF | |
dc.format.extent | p. 173-181 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.source.uri | http://bm.vgtu.lt/index.php/verslas/2023/paper/viewFile/1055/510 | |
dc.title | Applying green technologies to improve business sustainability | |
dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
dcterms.accessRights | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 50 | |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.vgtuprioritizedfields | EV03 - Dinamiškoji vadyba / Dynamic Management | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | sustainability | |
dc.subject.en | green technology | |
dc.subject.en | business | |
dc.subject.en | logistics sector | |
dc.subject.en | informational technology sector | |
dc.subject.en | constructions sector | |
dcterms.sourcetitle | 13th International scientific conference “Business and management 2023”, May 11–12, 2023, Vilnius, Lithuania | |
dc.publisher.name | Vilnius Gediminas Technical University | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 10.3846/bm.2023.1055 | |
dc.identifier.elaba | 168416236 | |