Analysis of the use of artificial intelligence and machine learning in commodity markets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F24%3A43974322" target="_blank" >RIV/49777513:23510/24:43974322 - isvavai.cz</a>
Result on the web
<a href="https://drive.google.com/file/d/10ufGZtWvb5rX9EMVbkMBC4wVKNq80q8_/view" target="_blank" >https://drive.google.com/file/d/10ufGZtWvb5rX9EMVbkMBC4wVKNq80q8_/view</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of the use of artificial intelligence and machine learning in commodity markets
Original language description
This bibliometric study provides a literature review analyzing the use of artificial intelligence (AI) and machine learning (ML) in commodity markets. 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 co-occurrence method, the study offers an overview of the current development trends 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Conference Proceedings – Business Trends 2024
ISBN
978-80-261-1270-9
ISSN
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e-ISSN
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Number of pages
24
Pages from-to
111-134
Publisher name
Západočeská univerzita v Plzni
Place of publication
Plzeň
Event location
Plzeň
Event date
Nov 21, 2024
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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