Analysis of the use of artificial intelligence and machine learning in commodity markets
| dc.contributor.author | Malátková, Tereza | |
| dc.contributor.author | Gangur, Mikuláš | |
| dc.date.accessioned | 2025-02-12T09:49:40Z | |
| dc.date.available | 2025-02-12T09:49:40Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract-translated | In recent years, developments in the field of commodity markets have been marked using artificial intelligence. Global social and political disruptions, such as wars and pandemic, and the shift in the development of artificial intelligence toward users mainly contributed to this development. Compared to 2005- 2019, the increased interest is evidenced by the unusually high growth in the number of scientific publications on this topic in 2020-2024. Commodities pervade many fields of interest; likewise, artificial intelligence can work with them in many ways. For this reason, studies on the subject are very diverse. In this bibliometric study, we provide a literature review analyzing using artificial intelligence (AI) and machine learning (ML) in commodity markets. Only 343 thematically focused publications from 2005-2024 provide the selection, which we process using the method of bibliometric and content analysis. We identify the development of the number of publications as a function of time and types of publications, authors and institutions, interconnectedness of citations, literature production in individual countries, and areas of research topics. Using the co-occurrence method, the study will offer an overview of the current development trends in using AI and ML to analyze commodity markets. Furthermore, the study points to possible directions for further research by defining research gaps and formulating an overview of calls for further research. | en |
| dc.description.sponsorship | This contribution was made within the project SGS-2024-030 "Research on quantitative approaches for economic problems solving" of the Faculty of Economics, University of West Bohemia in Pilsen. | en |
| dc.format | 24 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.isbn | 978-80-261-1270-9 | |
| dc.identifier.uri | http://hdl.handle.net/11025/58234 | |
| dc.language.iso | en | en |
| dc.publisher | Faculty of Economics University of West Bohemia | en |
| dc.rights | © Authors of papers | en |
| dc.rights.access | openAccess | en |
| dc.subject | umělá inteligence | cs |
| dc.subject | strojové učení | cs |
| dc.subject | commodity | cs |
| dc.subject | trh | cs |
| dc.subject | analýza | cs |
| dc.subject.translated | artificial intelligence | en |
| dc.subject.translated | machine learning | en |
| dc.subject.translated | commodity | en |
| dc.subject.translated | market | en |
| dc.subject.translated | analysis | en |
| dc.title | Analysis of the use of artificial intelligence and machine learning in commodity markets | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| local.files.count | 2 | * |
| local.files.size | 1614992 | * |
| local.has.files | yes | * |
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