Artificial intelligence in green management and sustainability: A bibliometric survey
The intersection of artificial intelligence (AI), green management and sustainability provides a unique opportunity to address critical environmental issues with cutting-edge technologies. The purpose of this study is to examine the developments and trends in the literature using a bibliometric anal...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05019.pdf |
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| _version_ | 1832098438974537728 |
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| author | Niftiyev Ibrahim |
| author_facet | Niftiyev Ibrahim |
| author_sort | Niftiyev Ibrahim |
| collection | DOAJ |
| description | The intersection of artificial intelligence (AI), green management and sustainability provides a unique opportunity to address critical environmental issues with cutting-edge technologies. The purpose of this study is to examine the developments and trends in the literature using a bibliometric analysis method. The data were collected between 1991 (January 1) and 2024 (April 1) in the Scopus database. The results show that the focus of AI and sustainability research has shifted from, for example, water management to broader environmental concerns and then to new analytical tools such as deep learning and blockchain. The most prolific and collaborative researchers come from India, China and the US and publish in already established international journals. The interdisciplinary and holistic view of AI and sustainability issues in the current study is of great interest to policy makers, key players in the market economy and other parties interested in the green transformation via AI-led technologies. |
| format | Article |
| id | doaj-art-b07e14d92e274fc1bd571b4f9a4d82cc |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-b07e14d92e274fc1bd571b4f9a4d82cc2025-02-05T10:49:34ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016080501910.1051/e3sconf/202560805019e3sconf_eenviro2024_05019Artificial intelligence in green management and sustainability: A bibliometric surveyNiftiyev Ibrahim0Azerbaijan State University of Economics (UNEC), Department of International Economics and BusinessThe intersection of artificial intelligence (AI), green management and sustainability provides a unique opportunity to address critical environmental issues with cutting-edge technologies. The purpose of this study is to examine the developments and trends in the literature using a bibliometric analysis method. The data were collected between 1991 (January 1) and 2024 (April 1) in the Scopus database. The results show that the focus of AI and sustainability research has shifted from, for example, water management to broader environmental concerns and then to new analytical tools such as deep learning and blockchain. The most prolific and collaborative researchers come from India, China and the US and publish in already established international journals. The interdisciplinary and holistic view of AI and sustainability issues in the current study is of great interest to policy makers, key players in the market economy and other parties interested in the green transformation via AI-led technologies.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05019.pdf |
| spellingShingle | Niftiyev Ibrahim Artificial intelligence in green management and sustainability: A bibliometric survey E3S Web of Conferences |
| title | Artificial intelligence in green management and sustainability: A bibliometric survey |
| title_full | Artificial intelligence in green management and sustainability: A bibliometric survey |
| title_fullStr | Artificial intelligence in green management and sustainability: A bibliometric survey |
| title_full_unstemmed | Artificial intelligence in green management and sustainability: A bibliometric survey |
| title_short | Artificial intelligence in green management and sustainability: A bibliometric survey |
| title_sort | artificial intelligence in green management and sustainability a bibliometric survey |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05019.pdf |
| work_keys_str_mv | AT niftiyevibrahim artificialintelligenceingreenmanagementandsustainabilityabibliometricsurvey |