Business Excellence, Vol. 13 No. 2, 2019.
Review article
https://doi.org/10.22598/pi-be/2019.13.2.131
BIBLIOMETRIC ANALYIS OF ARTIFICIAL INTELLIGENCE IN BUSINESS ECONOMICS
Ivan Novak
orcid.org/0000-0003-1473-7049
; Department of International Economics, Faculty of Economics and Business, University of Zagreb, Croatia
Abstract
Invention of artificial intelligence (AI) is certainly one of the most promising
technological advancements in modern economy. General AI reaching singularity makes
one imagine its disruptive influence. Once invented it is supposed to surpass all human
cognitive capabilities. Nevertheless, narrow AI has already been widely applied
encompassing many technologies. This paper aims to explore the research area of
artificial intelligence with the emphasis on the business economics field. Data has been
derived from the records extracted from the Web of Science which is one of the most
relevant databases of scientific publications. Total number of extracted records published
in the period from 1963-2019 was 1369. Results provide systemic overview of the most
influential authors, seminal papers and the most important sources for AI publication.
Additionally, using MCA (multiple correspondence analysis) results display the
intellectual map of the research field.
Keywords
artificial intelligence; business economics; content analysis; bibliometrics; HOMALS
Hrčak ID:
229696
URI
Publication date:
12.12.2019.
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