Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysis
Industrial sustainability has increased, focusing on social, economic, and environmental. The aim of this study is to carry out a systematic bibliometric analysis of the existing literature on sustainability indices and artificial intelligence-based tools for measuring and assessing the sustainabili...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University of Novi Sad, Faculty of Technical Sciences
2023-12-01
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| Series: | International Journal of Industrial Engineering and Management |
| Subjects: | |
| Online Access: | http://www.ijiemjournal.uns.ac.rs/images/journal/volume14/IJIEM_341.pdf |
| _version_ | 1827585280050200576 |
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| author | Mónica Cardoso Enrique Ares Luís Pinto Ferreira Gustavo Pelaez |
| author_facet | Mónica Cardoso Enrique Ares Luís Pinto Ferreira Gustavo Pelaez |
| author_sort | Mónica Cardoso |
| collection | DOAJ |
| description | Industrial sustainability has increased, focusing on social, economic, and environmental. The aim of this study is to carry out a systematic bibliometric analysis of the existing literature on sustainability indices and artificial intelligence-based tools for measuring and assessing the sustainability of production systems. For this statistical analysis, three scientific databases - Web of Science, Elsevier's Scopus and Dimensions - were used to identify relevant research articles and explore their temporal and geographical distribution. This data sheds light on the development of sustainable manufacturing and encourages future research in this area. This research aims to increase knowledge about sustainable development. |
| first_indexed | 2024-03-08T23:43:22Z |
| format | Article |
| id | doaj.art-07aaa54d2b1e4b0989d4dee2435bc1fd |
| institution | Directory Open Access Journal |
| issn | 2217-2661 2683-345X |
| language | English |
| last_indexed | 2024-03-08T23:43:22Z |
| publishDate | 2023-12-01 |
| publisher | University of Novi Sad, Faculty of Technical Sciences |
| record_format | Article |
| series | International Journal of Industrial Engineering and Management |
| spelling | doaj.art-07aaa54d2b1e4b0989d4dee2435bc1fd2023-12-14T04:51:03ZengUniversity of Novi Sad, Faculty of Technical SciencesInternational Journal of Industrial Engineering and Management2217-26612683-345X2023-12-01144311325http://doi.org/10.24867/IJIEM-2023-4-341341Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysisMónica Cardoso0Enrique Ares1Luís Pinto FerreiraGustavo Pelaez2ISEP, Polytechnic of Porto, R. Dr. António Bernardino de Almeida, 4249-015 Porto, PortugalINEGI - Associate Laboratory for Energy, Transports and Aerospace, R. Dr. Roberto Frias 400, 4200-465 Porto, PortugalINEGI - Associate Laboratory for Energy, Transports and Aerospace, R. Dr. Roberto Frias 400, 4200-465 Porto, PortugalIndustrial sustainability has increased, focusing on social, economic, and environmental. The aim of this study is to carry out a systematic bibliometric analysis of the existing literature on sustainability indices and artificial intelligence-based tools for measuring and assessing the sustainability of production systems. For this statistical analysis, three scientific databases - Web of Science, Elsevier's Scopus and Dimensions - were used to identify relevant research articles and explore their temporal and geographical distribution. This data sheds light on the development of sustainable manufacturing and encourages future research in this area. This research aims to increase knowledge about sustainable development.http://www.ijiemjournal.uns.ac.rs/images/journal/volume14/IJIEM_341.pdfsustainability index functionsustainability manufacturingtriple bottom lineai sustainable manufacturing |
| spellingShingle | Mónica Cardoso Enrique Ares Luís Pinto Ferreira Gustavo Pelaez Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysis International Journal of Industrial Engineering and Management sustainability index function sustainability manufacturing triple bottom line ai sustainable manufacturing |
| title | Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysis |
| title_full | Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysis |
| title_fullStr | Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysis |
| title_full_unstemmed | Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysis |
| title_short | Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysis |
| title_sort | using index function and artificial intelligence to assess sustainability a bibliometric analysis |
| topic | sustainability index function sustainability manufacturing triple bottom line ai sustainable manufacturing |
| url | http://www.ijiemjournal.uns.ac.rs/images/journal/volume14/IJIEM_341.pdf |
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