Artificial intelligence in business and economics research: trends and future
Artificial Intelligence is a disruptive technology developed during the 20th century, which has undergone an accelerated evolution, underpinning solutions to complex problems in the business world. Neural Networks, Machine Learning, or Deep Learning are concepts currently associated with terms such...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2021-01-01
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| Series: | Journal of Business Economics and Management |
| Subjects: | |
| Online Access: | https://journals.vgtu.lt/index.php/JBEM/article/view/13641 |
| _version_ | 1818888915225935872 |
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| author | José Luis Ruiz-Real Juan Uribe-Toril José Antonio Torres Jaime De Pablo |
| author_facet | José Luis Ruiz-Real Juan Uribe-Toril José Antonio Torres Jaime De Pablo |
| author_sort | José Luis Ruiz-Real |
| collection | DOAJ |
| description | Artificial Intelligence is a disruptive technology developed during the 20th century, which has undergone an accelerated evolution, underpinning solutions to complex problems in the business world. Neural Networks, Machine Learning, or Deep Learning are concepts currently associated with terms such as digital marketing, decision making, industry 4.0 and business digital transformation. Interest in this technology will increase as the competitive advantages of the use of Artificial Intelligence by economic entities is realised. The aim of this research is to analyse the state-of-the-art research of Artificial Intelligence in business. To this end, a bibliometric analysis has been implement using the Web of Science and Scopus online databases. By using a fractional counting method, this paper identifies 11 clusters and the most frequent terms used in Artificial Intelligence research. The present study identifies the main trends in research on Artificial Intelligence in business and proposes future lines of inquiry.
First published online 29 October 2020 |
| first_indexed | 2024-12-19T17:00:42Z |
| format | Article |
| id | doaj.art-9193ae0b8edf479d8382539323a79485 |
| institution | Directory Open Access Journal |
| issn | 1611-1699 2029-4433 |
| language | English |
| last_indexed | 2024-12-19T17:00:42Z |
| publishDate | 2021-01-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Journal of Business Economics and Management |
| spelling | doaj.art-9193ae0b8edf479d8382539323a794852022-12-21T20:13:18ZengVilnius Gediminas Technical UniversityJournal of Business Economics and Management1611-16992029-44332021-01-012219811710.3846/jbem.2020.1364113641Artificial intelligence in business and economics research: trends and futureJosé Luis Ruiz-Real0Juan Uribe-Toril1José Antonio Torres2Jaime De Pablo3Faculty of Economics and Business, University of Almería, Almería, SpainFaculty of Economics and Business, University of Almería, Almería, SpainDepartment of Computer Science, University of Almería, Almería SpainFaculty of Economics and Business, University of Almería, Almería, SpainArtificial Intelligence is a disruptive technology developed during the 20th century, which has undergone an accelerated evolution, underpinning solutions to complex problems in the business world. Neural Networks, Machine Learning, or Deep Learning are concepts currently associated with terms such as digital marketing, decision making, industry 4.0 and business digital transformation. Interest in this technology will increase as the competitive advantages of the use of Artificial Intelligence by economic entities is realised. The aim of this research is to analyse the state-of-the-art research of Artificial Intelligence in business. To this end, a bibliometric analysis has been implement using the Web of Science and Scopus online databases. By using a fractional counting method, this paper identifies 11 clusters and the most frequent terms used in Artificial Intelligence research. The present study identifies the main trends in research on Artificial Intelligence in business and proposes future lines of inquiry. First published online 29 October 2020https://journals.vgtu.lt/index.php/JBEM/article/view/13641artificial intelligencebusinesseconomicsbibliometricsresearch trendsdecision-making |
| spellingShingle | José Luis Ruiz-Real Juan Uribe-Toril José Antonio Torres Jaime De Pablo Artificial intelligence in business and economics research: trends and future Journal of Business Economics and Management artificial intelligence business economics bibliometrics research trends decision-making |
| title | Artificial intelligence in business and economics research: trends and future |
| title_full | Artificial intelligence in business and economics research: trends and future |
| title_fullStr | Artificial intelligence in business and economics research: trends and future |
| title_full_unstemmed | Artificial intelligence in business and economics research: trends and future |
| title_short | Artificial intelligence in business and economics research: trends and future |
| title_sort | artificial intelligence in business and economics research trends and future |
| topic | artificial intelligence business economics bibliometrics research trends decision-making |
| url | https://journals.vgtu.lt/index.php/JBEM/article/view/13641 |
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